Výsledky vyhľadávania - positive section algorithm and negative section algorithm*
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Autori: Vera i Fernández, Jordi
Prispievatelia: University/Department: Universitat Politècnica de Catalunya. Departament de Màquines i Motors Tèrmics
Thesis Advisors: Oliva Llena, Asensio, Pérez Segarra, Carlos David
Zdroj: TDX (Tesis Doctorals en Xarxa)
Predmety: Computational Fluid Dynamics and Heat Transfer (CFD & HT), Immersed Boundary Method (IBM), Sliding Meshes, Moving Bodies, Indoor Air Quality, Infection Probability, Thermal Energy Storage (TES), Thermocline, Àrees temàtiques de la UPC::Enginyeria mecànica, Àrees temàtiques de la UPC::Energies, 621 - Enginyeria mecànica en general. Tecnologia nuclear. Electrotècnia. Maquinària, 620 - Assaig de materials. Material comercials. Economia de l'energia
Popis súboru: application/pdf
Prístupová URL adresa: http://hdl.handle.net/10803/693918
https://dx.doi.org/10.5821/dissertation-2117-425645 -
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Autori: a ďalší
Zdroj: BMC Pregnancy and Childbirth, Vol 25, Iss 1, Pp 1-13 (2025)
Predmety: Accuracy, Caesarean section, Ghana, Machine learning, Prediction, Pregnant women, Gynecology and obstetrics, RG1-991
Popis súboru: electronic resource
Relation: https://doaj.org/toc/1471-2393
Prístupová URL adresa: https://doaj.org/article/b7245a298a914e53aa341e508fe00aca
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Autori: a ďalší
Zdroj: Validation of a Composite Medical Device Using a Blood Biomarker-based Algorithm and MDQ for the Diagnosis of Bipolar Disorder in Patients With a Characterized Depressive Episode in Primary Care
Cannesson M. The "grey zone" or how to avoid the binary constraint of decision-making. Can J Anaesth. 2015 Nov;62(11):1139-42. doi: 10.1007/s12630-015-0465-1. Epub 2015 Aug 22. No abstract available.
Favre S, Aubry JM, Gex-Fabry M, Ragama-Pardos E, McQuillan A, Bertschy G. [Translation and validation of a French version of the Young Mania Rating Scale (YMRS)]. Encephale. 2003 Nov-Dec;29(6):499-505. French.
Sachs GS. Strategies for improving treatment of bipolar disorder: integration of measurement and management. Acta Psychiatr Scand Suppl. 2004;(422):7-17. doi: 10.1111/j.1600-0447.2004.00409.x.
Iannuzzo RW, Jaeger J, Goldberg JF, Kafantaris V, Sublette ME. Development and reliability of the HAM-D/MADRS interview: an integrated depression symptom rating scale. Psychiatry Res. 2006 Nov 29;145(1):21-37. doi: 10.1016/j.psychres.2005.10.009. Epub 2006 Oct 16.
Sheehan DV, Lecrubier Y, Sheehan KH, Amorim P, Janavs J, Weiller E, Hergueta T, Baker R, Dunbar GC. The Mini-International Neuropsychiatric Interview (M.I.N.I.): the development and validation of a structured diagnostic psychiatric interview for DSM-IV and ICD-10. J Clin Psychiatry. 1998;59 Suppl 20:22-33;quiz 34-57.
Posner K, Brown GK, Stanley B, Brent DA, Yershova KV, Oquendo MA, Currier GW, Melvin GA, Greenhill L, Shen S, Mann JJ. The Columbia-Suicide Severity Rating Scale: initial validity and internal consistency findings from three multisite studies with adolescents and adults. Am J Psychiatry. 2011 Dec;168(12):1266-77. doi: 10.1176/appi.ajp.2011.10111704.
Wiriyakijja P, Porter S, Fedele S, Hodgson T, McMillan R, Shephard M, Ni Riordain R. Validation of the HADS and PSS-10 and a cross-sectional study of psychological status in patients with recurrent aphthous stomatitis. J Oral Pathol Med. 2020 Mar;49(3):260-270. doi: 10.1111/jop.12991. Epub 2020 Jan 22.
Johns MW. A new method for measuring daytime sleepiness: the Epworth sleepiness scale. Sleep. 1991 Dec;14(6):540-5. doi: 10.1093/sleep/14.6.540.
Paquette D, Laporte L, Bigras M, Zoccolillo M. [Validation of the French version of the CTQ and prevalence of the history of maltreatment]. Sante Ment Que. 2004 Spring;29(1):201-20. doi: 10.7202/008831ar. French.
Gift TE, Reimherr ML, Marchant BK, Steans TA, Reimherr FW. Wender Utah Rating Scale: Psychometrics, clinical utility and implications regarding the elements of ADHD. J Psychiatr Res. 2021 Mar;135:181-188. doi: 10.1016/j.jpsychires.2021.01.013. Epub 2021 Jan 14.
Kroenke K, Spitzer RL, Williams JB. The PHQ-9: validity of a brief depression severity measure. J Gen Intern Med. 2001 Sep;16(9):606-13. doi: 10.1046/j.1525-1497.2001.016009606.x.
Rush AJ, Trivedi MH, Ibrahim HM, Carmody TJ, Arnow B, Klein DN, Markowitz JC, Ninan PT, Kornstein S, Manber R, Thase ME, Kocsis JH, Keller MB. The 16-Item Quick Inventory of Depressive Symptomatology (QIDS), clinician rating (QIDS-C), and self-report (QIDS-SR): a psychometric evaluation in patients with chronic major depression. Biol Psychiatry. 2003 Sep 1;54(5):573-83. doi: 10.1016/s0006-3223(02)01866-8.
Bech P, Christensen EM, Vinberg M, Bech-Andersen G, Kessing LV. From items to syndromes in the Hypomania Checklist (HCL-32): psychometric validation and clinical validity analysis. J Affect Disord. 2011 Jul;132(1-2):48-54. doi: 10.1016/j.jad.2011.01.017. Epub 2011 Feb 23.
Hirschfeld RM, Williams JB, Spitzer RL, Calabrese JR, Flynn L, Keck PE Jr, Lewis L, McElroy SL, Post RM, Rapport DJ, Russell JM, Sachs GS, Zajecka J. Development and validation of a screening instrument for bipolar spectrum disorder: the Mood Disorder Questionnaire. Am J Psychiatry. 2000 Nov;157(11):1873-5. doi: 10.1176/appi.ajp.157.11.1873.
Martinuzzi E, Barbosa S, Courtet P, Olie E, Guillaume S, Ibrahim EC, Daoudlarian D, Davidovic L, Glaichenhaus N, Belzeaux R. Blood cytokines differentiate bipolar disorder and major depressive disorder during a major depressive episode: Initial discovery and independent sample replication. Brain Behav Immun Health. 2021 Mar 10;13:100232. doi: 10.1016/j.bbih.2021.100232. eCollection 2021 May.
Carvalho AF, Takwoingi Y, Sales PM, Soczynska JK, Kohler CA, Freitas TH, Quevedo J, Hyphantis TN, McIntyre RS, Vieta E. Screening for bipolar spectrum disorders: A comprehensive meta-analysis of accuracy studies. J Affect Disord. 2015 Feb 1;172:337-46. doi: 10.1016/j.jad.2014.10.024. Epub 2014 Oct 23.
Boschloo L, Nolen WA, Spijker AT, Hoencamp E, Kupka R, Penninx BW, Schoevers RA. The Mood Disorder Questionnaire (MDQ) for detecting (hypo)manic episodes: its validity and impact of recall bias. J Affect Disord. 2013 Oct;151(1):203-8. doi: 10.1016/j.jad.2013.05.078. Epub 2013 Jun 20.
Scott J, Graham A, Yung A, Morgan C, Bellivier F, Etain B. A systematic review and meta-analysis of delayed help-seeking, delayed diagnosis and duration of untreated illness in bipolar disorders. Acta Psychiatr Scand. 2022 Nov;146(5):389-405. doi: 10.1111/acps.13490. Epub 2022 Sep 22.
Morselli PL, Elgie R; GAMIAN-Europe. GAMIAN-Europe/BEAM survey I--global analysis of a patient questionnaire circulated to 3450 members of 12 European advocacy groups operating in the field of mood disorders. Bipolar Disord. 2003 Aug;5(4):265-78. doi: 10.1034/j.1399-5618.2003.00037.x.
Vieta E. Antidepressants in bipolar I disorder: never as monotherapy. Am J Psychiatry. 2014 Oct;171(10):1023-6. doi: 10.1176/appi.ajp.2014.14070826. No abstract available.
McIntyre RS, Berk M, Brietzke E, Goldstein BI, Lopez-Jaramillo C, Kessing LV, Malhi GS, Nierenberg AA, Rosenblat JD, Majeed A, Vieta E, Vinberg M, Young AH, Mansur RB. Bipolar disorders. Lancet. 2020 Dec 5;396(10265):1841-1856. doi: 10.1016/S0140-6736(20)31544-0.
Vieta E, Berk M, Schulze TG, Carvalho AF, Suppes T, Calabrese JR, Gao K, Miskowiak KW, Grande I. Bipolar disorders. Nat Rev Dis Primers. 2018 Mar 8;4:18008. doi: 10.1038/nrdp.2018.8.
Aghababaie-Babaki P, Malekpour MR, Mohammadi E, Saeedi Moghaddam S, Rashidi MM, Ghanbari A, Heidari-Foroozan M, Esfahani Z, Mohammadi Fateh S, Hajebi A, Haghshenas R, Foroutan Mehr E, Rezaei N, Larijani B, Farzadfar F. Global, regional, and national burden and quality of care index (QCI) of bipolar disorder: A systematic analysis of the Global Burden of Disease Study 1990 to 2019. Int J Soc Psychiatry. 2023 Dec;69(8):1958-1970. doi: 10.1177/00207640231182358. Epub 2023 Jun 23.
Fongaro E, Purper-Ouakil D, Picot MC, Epstein C, Kerbage H. Evaluating the effectiveness of telehealth-delivered Child and Family Traumatic Stress Intervention (CFTSI) for children and adolescents following recent trauma: a multi-zite randomized controlled trial in France. BMC Psychol. 2025 Nov 12;13(1):1254. doi: 10.1186/s40359-025-03585-0. -
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Autori: Mahyar Abasi
Zdroj: IEEE Access, Vol 12, Pp 104742-104754 (2024)
Predmety: Fault location, normal shunt faults, positive, negative, and zero sequences, untransposed transmission lines, Electrical engineering. Electronics. Nuclear engineering, TK1-9971
Popis súboru: electronic resource
Prístupová URL adresa: https://doaj.org/article/b0aa3b77f63141e293bd66cc19c7bf4a
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Autori: a ďalší
Prispievatelia: a ďalší
Zdroj: Breast Cancer Research. 25(1)
Predmety: Medical and Health Sciences, Clinical Medicine, Cancer and Oncology, Medicin och hälsovetenskap, Klinisk medicin, Cancer och onkologi
Prístupová URL adresa: https://doi.org/10.1186/s13058-023-01724-2
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Autori: a ďalší
Predmety: Medicine, Microbiology, Biotechnology, Evolutionary Biology, Cancer, Mental Health, Infectious Diseases, Virology, pediatric inpatients admitted, neurologic vital signs, machine learning algorithm, future care needs, th sup, st sup, future care locations, icu prediction group, false positive patients, transfer prediction category, assess patient characteristics, false negative patients, false negative compared, true positive patients, icu care locations, care factors associated, care factors, patient characteristics, true negative, icu locations, icu care, false positives
Dostupnosť: https://doi.org/10.1371/journal.pone.0320586.t003
https://figshare.com/articles/dataset/Demographic_and_questionnaire_data_for_the_ICU_admission_and_ICU_discharge_prediction_groups_for_the_true_and_false_outcome_prediction_categories_Only_questionnaire_data_in_sections_with_statistical_or_clinical_significant_differences_are_s/28906472 -
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Autori:
Zdroj: Cuestiones de Fisioterapia; 2025, Vol. 54 Issue 4, p5310-5338, 29p
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Autori:
Prispievatelia:
Zdroj: An Observational Cohort Study to Validate SEARCH, a Novel Hierarchical Algorithm to Define Long-term Outcomes After Pulmonary Embolism
DeMonaco NA, Dang Q, Kapoor WN, Ragni MV. Pulmonary embolism incidence is increasing with use of spiral computed tomography. Am J Med. 2008 Jul;121(7):611-7. doi: 10.1016/j.amjmed.2008.02.035.
Klok FA, Cohn DM, Middeldorp S, Scharloo M, Buller HR, van Kralingen KW, Kaptein AA, Huisman MV. Quality of life after pulmonary embolism: validation of the PEmb-QoL Questionnaire. J Thromb Haemost. 2010 Mar;8(3):523-32. doi: 10.1111/j.1538-7836.2009.03726.x. Epub 2009 Dec 15.
Klok FA, Tijmensen JE, Haeck ML, van Kralingen KW, Huisman MV. Persistent dyspnea complaints at long-term follow-up after an episode of acute pulmonary embolism: results of a questionnaire. Eur J Intern Med. 2008 Dec;19(8):625-9. doi: 10.1016/j.ejim.2008.02.006. Epub 2008 Apr 22.
Kahn SR, Hirsch AM, Akaberi A, Hernandez P, Anderson DR, Wells PS, Rodger MA, Solymoss S, Kovacs MJ, Rudski L, Shimony A, Dennie C, Rush C, Geerts WH, Aaron SD, Granton JT. Functional and Exercise Limitations After a First Episode of Pulmonary Embolism: Results of the ELOPE Prospective Cohort Study. Chest. 2017 May;151(5):1058-1068. doi: 10.1016/j.chest.2016.11.030. Epub 2016 Dec 6.
Klok FA, van Kralingen KW, van Dijk AP, Heyning FH, Vliegen HW, Kaptein AA, Huisman MV. Quality of life in long-term survivors of acute pulmonary embolism. Chest. 2010 Dec;138(6):1432-40. doi: 10.1378/chest.09-2482. Epub 2010 May 21.
van Es J, den Exter PL, Kaptein AA, Andela CD, Erkens PM, Klok FA, Douma RA, Mos IC, Cohn DM, Kamphuisen PW, Huisman MV, Middeldorp S. Quality of life after pulmonary embolism as assessed with SF-36 and PEmb-QoL. Thromb Res. 2013 Nov;132(5):500-5. doi: 10.1016/j.thromres.2013.06.016. Epub 2013 Oct 3.
Tavoly M, Utne KK, Jelsness-Jorgensen LP, Wik HS, Klok FA, Sandset PM, Ghanima W. Health-related quality of life after pulmonary embolism: a cross-sectional study. BMJ Open. 2016 Nov 3;6(11):e013086. doi: 10.1136/bmjopen-2016-013086.
Kahn SR, Akaberi A, Granton JT, Anderson DR, Wells PS, Rodger MA, Solymoss S, Kovacs MJ, Rudski L, Shimony A, Dennie C, Rush C, Hernandez P, Aaron SD, Hirsch AM. Quality of Life, Dyspnea, and Functional Exercise Capacity Following a First Episode of Pulmonary Embolism: Results of the ELOPE Cohort Study. Am J Med. 2017 Aug;130(8):990.e9-990.e21. doi: 10.1016/j.amjmed.2017.03.033. Epub 2017 Apr 8.
Klok FA, van Kralingen KW, van Dijk AP, Heyning FH, Vliegen HW, Huisman MV. Prospective cardiopulmonary screening program to detect chronic thromboembolic pulmonary hypertension in patients after acute pulmonary embolism. Haematologica. 2010 Jun;95(6):970-5. doi: 10.3324/haematol.2009.018960. Epub 2010 Jan 6.
Fernandes TM, Alotaibi M, Strozza DM, Stringer WW, Porszasz J, Faulkner GG, Castro CF, Tran DA, Morris TA. Dyspnea Postpulmonary Embolism From Physiological Dead Space Proportion and Stroke Volume Defects During Exercise. Chest. 2020 Apr;157(4):936-944. doi: 10.1016/j.chest.2019.10.047. Epub 2019 Nov 22.
Klok FA, van Kralingen KW, van Dijk AP, Heyning FH, Vliegen HW, Huisman MV. Prevalence and potential determinants of exertional dyspnea after acute pulmonary embolism. Respir Med. 2010 Nov;104(11):1744-9. doi: 10.1016/j.rmed.2010.06.006.
Klok FA, Zondag W, van Kralingen KW, van Dijk AP, Tamsma JT, Heyning FH, Vliegen HW, Huisman MV. Patient outcomes after acute pulmonary embolism. A pooled survival analysis of different adverse events. Am J Respir Crit Care Med. 2010 Mar 1;181(5):501-6. doi: 10.1164/rccm.200907-1141OC. Epub 2009 Dec 3.
Bestall JC, Paul EA, Garrod R, Garnham R, Jones PW, Wedzicha JA. Usefulness of the Medical Research Council (MRC) dyspnoea scale as a measure of disability in patients with chronic obstructive pulmonary disease. Thorax. 1999 Jul;54(7):581-6. doi: 10.1136/thx.54.7.581.
Revicki D, Hays RD, Cella D, Sloan J. Recommended methods for determining responsiveness and minimally important differences for patient-reported outcomes. J Clin Epidemiol. 2008 Feb;61(2):102-9. doi: 10.1016/j.jclinepi.2007.03.012. Epub 2007 Aug 3.
Crisafulli E, Clini EM. Measures of dyspnea in pulmonary rehabilitation. Multidiscip Respir Med. 2010 Jun 30;5(3):202-10. doi: 10.1186/2049-6958-5-3-202.
Kim JW, Clark A, Birring SS, Atkins C, Whyte M, Wilson AM. Psychometric properties of patient reported outcome measures in idiopathic pulmonary fibrosis. Chron Respir Dis. 2021 Jan-Dec;18:14799731211033925. doi: 10.1177/14799731211033925.
Albaghdadi MS, Dudzinski DM, Giordano N, Kabrhel C, Ghoshhajra B, Jaff MR, Weinberg I, Baggish A. Cardiopulmonary Exercise Testing in Patients Following Massive and Submassive Pulmonary Embolism. J Am Heart Assoc. 2018 Mar 3;7(5):e006841. doi: 10.1161/JAHA.117.006841.
McCabe C, Deboeck G, Harvey I, Ross RM, Gopalan D, Screaton N, Pepke-Zaba J. Inefficient exercise gas exchange identifies pulmonary hypertension in chronic thromboembolic obstruction following pulmonary embolism. Thromb Res. 2013;132(6):659-65. doi: 10.1016/j.thromres.2013.09.032. Epub 2013 Sep 27.
Stringer WW, Hansen JE, Wasserman K. Cardiac output estimated noninvasively from oxygen uptake during exercise. J Appl Physiol (1985). 1997 Mar;82(3):908-12. doi: 10.1152/jappl.1997.82.3.908.
Paraskos JA, Adelstein SJ, Smith RE, Rickman FD, Grossman W, Dexter L, Dalen JE. Late prognosis of acute pulmonary embolism. N Engl J Med. 1973 Jul 12;289(2):55-8. doi: 10.1056/NEJM197307122890201. No abstract available.
Prediletto R, Paoletti P, Fornai E, Perissinotto A, Petruzzelli S, Formichi B, Ruschi S, Palla A, Giannella-Neto A, Giuntini C. Natural course of treated pulmonary embolism. Evaluation by perfusion lung scintigraphy, gas exchange, and chest roentgenogram. Chest. 1990 Mar;97(3):554-61. doi: 10.1378/chest.97.3.554.
Donnamaria V, Palla A, Petruzzelli S, Carrozzi L, Pugliesi O, Giuntini C. Early and late follow-up of pulmonary embolism. Respiration. 1993;60(1):15-20. doi: 10.1159/000196167.
Bass H, Banas JS Jr, Dalen JE. Pulmonary function studies. Aid to diagnosis of pulmonary embolism. Arch Intern Med. 1970 Aug;126(2):266-8. doi: 10.1001/archinte.126.2.266. No abstract available.
Sharma GV, Burleson VA, Sasahara AA. Effect of thrombolytic therapy on pulmonary-capillary blood volume in patients with pulmonary embolism. N Engl J Med. 1980 Oct 9;303(15):842-5. doi: 10.1056/NEJM198010093031502.
Helmers RA, Zavala DC. Serial exercise testing in pulmonary embolism. Chest. 1988 Sep;94(3):517-20. doi: 10.1378/chest.94.3.517.
Sanchez O, Helley D, Couchon S, Roux A, Delaval A, Trinquart L, Collignon MA, Fischer AM, Meyer G. Perfusion defects after pulmonary embolism: risk factors and clinical significance. J Thromb Haemost. 2010 Jun;8(6):1248-55. doi: 10.1111/j.1538-7836.2010.03844.x. Epub 2010 Mar 17.
Pesavento R, Filippi L, Palla A, Visona A, Bova C, Marzolo M, Porro F, Villalta S, Ciammaichella M, Bucherini E, Nante G, Battistelli S, Muiesan ML, Beltramello G, Prisco D, Casazza F, Ageno W, Palareti G, Quintavalla R, Monti S, Mumoli N, Zanatta N, Cappelli R, Cattaneo M, Moretti V, Cora F, Bazzan M, Ghirarduzzi A, Frigo AC, Miniati M, Prandoni P; SCOPE Investigators. Impact of residual pulmonary obstruction on the long-term outcome of patients with pulmonary embolism. Eur Respir J. 2017 May 25;49(5):1601980. doi: 10.1183/13993003.01980-2016. Print 2017 May.
Wan T, Rodger M, Zeng W, Robin P, Righini M, Kovacs MJ, Tan M, Carrier M, Kahn SR, Wells PS, Anderson DR, Chagnon I, Solymoss S, Crowther M, White RH, Vickars L, Bazarjani S, Le Gal G. Residual pulmonary embolism as a predictor for recurrence after a first unprovoked episode: Results from the REVERSE cohort study. Thromb Res. 2018 Feb;162:104-109. doi: 10.1016/j.thromres.2017.11.020. Epub 2017 Dec 8.
Pengo V, Lensing AW, Prins MH, Marchiori A, Davidson BL, Tiozzo F, Albanese P, Biasiolo A, Pegoraro C, Iliceto S, Prandoni P; Thromboembolic Pulmonary Hypertension Study Group. Incidence of chronic thromboembolic pulmonary hypertension after pulmonary embolism. N Engl J Med. 2004 May 27;350(22):2257-64. doi: 10.1056/NEJMoa032274.
Leblanc M, Leveillee F, Turcotte E. Prospective evaluation of the negative predictive value of V/Q SPECT using 99mTc-Technegas. Nucl Med Commun. 2007 Aug;28(8):667-72. doi: 10.1097/MNM.0b013e32827a8e99.
Bajc M, Olsson B, Palmer J, Jonson B. Ventilation/Perfusion SPECT for diagnostics of pulmonary embolism in clinical practice. J Intern Med. 2008 Oct;264(4):379-87. doi: 10.1111/j.1365-2796.2008.01980.x.
Lemb M, Pohlabeln H. Pulmonary thromboembolism: a retrospective study on the examination of 991 patients by ventilation/perfusion SPECT using Technegas. Nuklearmedizin. 2001 Dec;40(6):179-86.
Soler X, Hoh CK, Test VJ, Kerr KM, Marsh JJ, Morris TA. Single photon emission computed tomography in chronic thromboembolic pulmonary hypertension. Respirology. 2011 Jan;16(1):131-7. doi: 10.1111/j.1440-1843.2010.01867.x.
Soler X, Kerr KM, Marsh JJ, Renner JW, Hoh CK, Test VJ, Morris TA. Pilot study comparing SPECT perfusion scintigraphy with CT pulmonary angiography in chronic thromboembolic pulmonary hypertension. Respirology. 2012 Jan;17(1):180-4. doi: 10.1111/j.1440-1843.2011.02061.x.
Galie N, Humbert M, Vachiery JL, Gibbs S, Lang I, Torbicki A, Simonneau G, Peacock A, Vonk Noordegraaf A, Beghetti M, Ghofrani A, Gomez Sanchez MA, Hansmann G, Klepetko W, Lancellotti P, Matucci M, McDonagh T, Pierard LA, Trindade PT, Zompatori M, Hoeper M. 2015 ESC/ERS Guidelines for the diagnosis and treatment of pulmonary hypertension: The Joint Task Force for the Diagnosis and Treatment of Pulmonary Hypertension of the European Society of Cardiology (ESC) and the European Respiratory Society (ERS): Endorsed by: Association for European Paediatric and Congenital Cardiology (AEPC), International Society for Heart and Lung Transplantation (ISHLT). Eur Respir J. 2015 Oct;46(4):903-75. doi: 10.1183/13993003.01032-2015. Epub 2015 Aug 29.
Ribeiro A, Lindmarker P, Johnsson H, Juhlin-Dannfelt A, Jorfeldt L. Pulmonary embolism: one-year follow-up with echocardiography doppler and five-year survival analysis. Circulation. 1999 Mar 16;99(10):1325-30. doi: 10.1161/01.cir.99.10.1325.
Ribeiro A, Lindmarker P, Juhlin-Dannfelt A, Johnsson H, Jorfeldt L. Echocardiography Doppler in pulmonary embolism: right ventricular dysfunction as a predictor of mortality rate. Am Heart J. 1997 Sep;134(3):479-87. doi: 10.1016/s0002-8703(97)70085-1.
Remy-Jardin M, Louvegny S, Remy J, Artaud D, Deschildre F, Bauchart JJ, Thery C, Duhamel A. Acute central thromboembolic disease: posttherapeutic follow-up with spiral CT angiography. Radiology. 1997 Apr;203(1):173-80. doi: 10.1148/radiology.203.1.9122389.
Cosmi B, Nijkeuter M, Valentino M, Huisman MV, Barozzi L, Palareti G. Residual emboli on lung perfusion scan or multidetector computed tomography after a first episode of acute pulmonary embolism. Intern Emerg Med. 2011 Dec;6(6):521-8. doi: 10.1007/s11739-011-0577-8. Epub 2011 Apr 3.
van Es J, Douma RA, Kamphuisen PW, Gerdes VE, Verhamme P, Wells PS, Bounameaux H, Lensing AW, Buller HR. Clot resolution after 3 weeks of anticoagulant treatment for pulmonary embolism: comparison of computed tomography and perfusion scintigraphy. J Thromb Haemost. 2013 Apr;11(4):679-85. doi: 10.1111/jth.12150.
Hallgren KA. Computing Inter-Rater Reliability for Observational Data: An Overview and Tutorial. Tutor Quant Methods Psychol. 2012;8(1):23-34. doi: 10.20982/tqmp.08.1.p023.
Witten L, Gardner R, Holmberg MJ, Wiberg S, Moskowitz A, Mehta S, Grossestreuer AV, Yankama T, Donnino MW, Berg KM. Reasons for death in patients successfully resuscitated from out-of-hospital and in-hospital cardiac arrest. Resuscitation. 2019 Mar;136:93-99. doi: 10.1016/j.resuscitation.2019.01.031. Epub 2019 Jan 30.
Moskowitz A, Omar Y, Chase M, Lokhandwala S, Patel P, Andersen LW, Cocchi MN, Donnino MW. Reasons for death in patients with sepsis and septic shock. J Crit Care. 2017 Apr;38:284-288. doi: 10.1016/j.jcrc.2016.11.036. Epub 2016 Dec 2.
Sim J, Wright CC. The kappa statistic in reliability studies: use, interpretation, and sample size requirements. Phys Ther. 2005 Mar;85(3):257-68.
Rotondi MA, Donner A. A confidence interval approach to sample size estimation for interobserver agreement studies with multiple raters and outcomes. J Clin Epidemiol. 2012 Jul;65(7):778-84. doi: 10.1016/j.jclinepi.2011.10.019. Epub 2012 May 4.
Morris TA, Fernandes TM, Chung J, Vintch JRE, McGuire WC, Thapamagar S, Alotaibi M, Aries S, Dakaeva K. Observational cohort study to validate SEARCH, a novel hierarchical algorithm to define long-term outcomes after pulmonary embolism. BMJ Open. 2023 Sep 28;13(9):e074470. doi: 10.1136/bmjopen-2023-074470. -
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Autori: a ďalší
Prispievatelia: a ďalší
Zdroj: Journal of Emergency Medicine. 66(6):e651-e659
Predmety: Medical and Health Sciences, Clinical Medicine, Cardiology and Cardiovascular Disease, Medicin och hälsovetenskap, Klinisk medicin, Kardiologi och kardiovaskulära sjukdomar
Prístupová URL adresa: https://doi.org/10.1016/j.jemermed.2024.02.004
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Zdroj: Technical Journal / Tehnički Glasnik; Sep2025, Vol. 19 Issue 3, p452-460, 9p
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Zdroj: European Journal of Cardiovascular Medicine; Jul2025, Vol. 15 Issue 7, p361-364, 4p
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Autori:
Zdroj: European Journal of Cardiovascular Medicine; May2025, Vol. 15 Issue 5, p665-668, 4p
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Autori: a ďalší
Zdroj: Radioengineering. Jun2025, Vol. 34 Issue 2, p206-223. 18p.
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Autori: a ďalší
Zdroj: Journal of Neuropathology & Experimental Neurology; Nov2025, Vol. 84 Issue 11, p1067-1070, 4p
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Autori: a ďalší
Zdroj: Journal of Veterinary Diagnostic Investigation. May2025, Vol. 37 Issue 3, p448-454. 7p.
Plný text vo formáte HTML Plný text ve formátu PDF -
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Autori: a ďalší
Zdroj: Water (20734441); Aug2025, Vol. 17 Issue 16, p2460, 26p
Predmety: RANDOM forest algorithms, ENSEMBLE learning, DEBRIS avalanches, LAND use planning, RISK assessment, HAZARD mitigation
Geografický termín: WENCHUAN Xian (Sichuan Sheng, China), SICHUAN Sheng (China)
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Zdroj: Journal of Oral & Maxillofacial Surgery (02782391). Dec2025, Vol. 83 Issue 12, p1560-1569. 10p.
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Autori: a ďalší
Zdroj: Frontiers in Veterinary Science. 2025, p1-7. 7p.
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Zdroj: Development of an Artificial Intelligence Algorithm to Predict Hypotension Risk After Induction in Cesarean Sections With Spinal Anesthesia
Betran AP, Ye J, Moller AB, Souza JP, Zhang J. Trends and projections of caesarean section rates: global and regional estimates. BMJ Glob Health. 2021 Jun;6(6):e005671. doi: 10.1136/bmjgh-2021-005671.
who. Available from: https://www.who.int/news/item/16-06-2021-caesarean-section-rates-continue-to-rise-amid-growing-inequalities-in-access#:~:text=According%20to%20new%20research%20from,21%25)%20of%20all%20childbirths.
Bedson, R. and A. Riccoboni, Physiology of pregnancy: clinical anaesthetic implications. Continuing Education in Anaesthesia Critical Care & Pain, 2013. 14(2): p. 69-72.
Traynor AJ, Aragon M, Ghosh D, Choi RS, Dingmann C, Vu Tran Z, Bucklin BA. Obstetric Anesthesia Workforce Survey: A 30-Year Update. Anesth Analg. 2016 Jun;122(6):1939-46. doi: 10.1213/ANE.0000000000001204.
Klohr S, Roth R, Hofmann T, Rossaint R, Heesen M. Definitions of hypotension after spinal anaesthesia for caesarean section: literature search and application to parturients. Acta Anaesthesiol Scand. 2010 Sep;54(8):909-21. doi: 10.1111/j.1399-6576.2010.02239.x. Epub 2010 Apr 23.
Shitemaw T, Jemal B, Mamo T, Akalu L. Incidence and associated factors for hypotension after spinal anesthesia during cesarean section at Gandhi Memorial Hospital Addis Ababa, Ethiopia. PLoS One. 2020 Aug 13;15(8):e0236755. doi: 10.1371/journal.pone.0236755. eCollection 2020.
Yu C, Gu J, Liao Z, Feng S. Prediction of spinal anesthesia-induced hypotension during elective cesarean section: a systematic review of prospective observational studies. Int J Obstet Anesth. 2021 Aug;47:103175. doi: 10.1016/j.ijoa.2021.103175. Epub 2021 May 1.
Massoth C, Topel L, Wenk M. Hypotension after spinal anesthesia for cesarean section: how to approach the iatrogenic sympathectomy. Curr Opin Anaesthesiol. 2020 Jun;33(3):291-298. doi: 10.1097/ACO.0000000000000848.
Fitzgerald JP, Fedoruk KA, Jadin SM, Carvalho B, Halpern SH. Prevention of hypotension after spinal anaesthesia for caesarean section: a systematic review and network meta-analysis of randomised controlled trials. Anaesthesia. 2020 Jan;75(1):109-121. doi: 10.1111/anae.14841. Epub 2019 Sep 18.
Hashimoto DA, Witkowski E, Gao L, Meireles O, Rosman G. Artificial Intelligence in Anesthesiology: Current Techniques, Clinical Applications, and Limitations. Anesthesiology. 2020 Feb;132(2):379-394. doi: 10.1097/ALN.0000000000002960.
Lee S, Lee HC, Chu YS, Song SW, Ahn GJ, Lee H, Yang S, Koh SB. Deep learning models for the prediction of intraoperative hypotension. Br J Anaesth. 2021 Apr;126(4):808-817. doi: 10.1016/j.bja.2020.12.035. Epub 2021 Feb 6.
Kang AR, Lee J, Jung W, Lee M, Park SY, Woo J, Kim SH. Development of a prediction model for hypotension after induction of anesthesia using machine learning. PLoS One. 2020 Apr 16;15(4):e0231172. doi: 10.1371/journal.pone.0231172. eCollection 2020.
Hatib F, Jian Z, Buddi S, Lee C, Settels J, Sibert K, Rinehart J, Cannesson M. Machine-learning Algorithm to Predict Hypotension Based on High-fidelity Arterial Pressure Waveform Analysis. Anesthesiology. 2018 Oct;129(4):663-674. doi: 10.1097/ALN.0000000000002300.
Choe S, Park E, Shin W, Koo B, Shin D, Jung C, Lee H, Kim J. Short-Term Event Prediction in the Operating Room (STEP-OP) of Five-Minute Intraoperative Hypotension Using Hybrid Deep Learning: Retrospective Observational Study and Model Development. JMIR Med Inform. 2021 Sep 30;9(9):e31311. doi: 10.2196/31311.
van der Ven WH, Veelo DP, Wijnberge M, van der Ster BJP, Vlaar APJ, Geerts BF. One of the first validations of an artificial intelligence algorithm for clinical use: The impact on intraoperative hypotension prediction and clinical decision-making. Surgery. 2021 Jun;169(6):1300-1303. doi: 10.1016/j.surg.2020.09.041. Epub 2020 Dec 11.
Wijnberge M, Geerts BF, Hol L, Lemmers N, Mulder MP, Berge P, Schenk J, Terwindt LE, Hollmann MW, Vlaar AP, Veelo DP. Effect of a Machine Learning-Derived Early Warning System for Intraoperative Hypotension vs Standard Care on Depth and Duration of Intraoperative Hypotension During Elective Noncardiac Surgery: The HYPE Randomized Clinical Trial. JAMA. 2020 Mar 17;323(11):1052-1060. doi: 10.1001/jama.2020.0592.
Hahn RG, Patel V, Dull RO. Human glycocalyx shedding: Systematic review and critical appraisal. Acta Anaesthesiol Scand. 2021 May;65(5):590-606. doi: 10.1111/aas.13797. Epub 2021 Mar 7.
George K, Poudel P, Chalasani R, Goonathilake MR, Waqar S, George S, Jean-Baptiste W, Yusuf Ali A, Inyang B, Koshy FS, Mohammed L. A Systematic Review of Maternal Serum Syndecan-1 and Preeclampsia. Cureus. 2022 Jun 9;14(6):e25794. doi: 10.7759/cureus.25794. eCollection 2022 Jun.
Powell MF, Mathru M, Brandon A, Patel R, Frolich MA. Assessment of endothelial glycocalyx disruption in term parturients receiving a fluid bolus before spinal anesthesia: a prospective observational study. Int J Obstet Anesth. 2014 Nov;23(4):330-4. doi: 10.1016/j.ijoa.2014.06.001. Epub 2014 Jun 7.
Gratz I, Baruch M, Takla M, Seaman J, Allen I, McEniry B, Deal E. The application of a neural network to predict hypotension and vasopressor requirements non-invasively in obstetric patients having spinal anesthesia for elective cesarean section (C/S). BMC Anesthesiol. 2020 May 1;20(1):98. doi: 10.1186/s12871-020-01015-9.
Lin CS, Chiu JS, Hsieh MH, Mok MS, Li YC, Chiu HW. Predicting hypotensive episodes during spinal anesthesia with the application of artificial neural networks. Comput Methods Programs Biomed. 2008 Nov;92(2):193-7. doi: 10.1016/j.cmpb.2008.06.013.
Luo W, Phung D, Tran T, Gupta S, Rana S, Karmakar C, Shilton A, Yearwood J, Dimitrova N, Ho TB, Venkatesh S, Berk M. Guidelines for Developing and Reporting Machine Learning Predictive Models in Biomedical Research: A Multidisciplinary View. J Med Internet Res. 2016 Dec 16;18(12):e323. doi: 10.2196/jmir.5870. -
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Autori: a ďalší
Zdroj: BioData Mining; 3/7/2025, Vol. 18 Issue 1, p1-23, 23p
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