Search Results - "Conjuntos de Datos como Asunto"
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1
Authors: et al.
Contributors: et al.
Source: Br J Surg
Docusalut
Conselleria de Salut i Consum del Govern de les Illes Balears
Repositorio Institucional de la Consejería de Sanidad de la Comunidad de Madrid
Consejería de Sanidad de la Comunidad de Madrid
BJS-BRITISH JOURNAL OF SURGERY
r-I3PT. Repositorio Institucional Producción Científica del Institut d'Investigació i Innovació Parc Taulí
instname
BRITISH JOURNAL OF SURGERY
r-IIB SANT PAU. Repositorio Institucional de Producción Científica del Instituto de Investigación Biomédica Sant Pau
Institut dInvestigació Biomèdica Sant Pau (IIB Sant Pau)
British Journal of Surgery, 108, 11, pp. 1274-1292
The British journal of surgery
COVIDSurg Collaborative 2021, 'Machine learning risk prediction of mortality for patients undergoing surgery with perioperative SARS-CoV-2: the COVIDSurg mortality score', British Journal of Surgery, vol. 108, no. 11, znab183, pp. 1274-1292. https://doi.org/10.1093/bjs/znab183Subject Terms: Cuidado perioperatorio, Settore MED/18 - CHIRURGIA GENERALE, Medizin, COVID-19, SARS-CoV-2, outcomes, mortality, machine learning, Datasets as Topic, Surgical Procedures, Operative/mortality, perioperative care, surgical procedures, operative mortality, sars-cov-2, Medical and Health Sciences, Settore MEDS-06/A - Chirurgia generale, Procediments quirúrgics, Cohort Studies, Machine Learning, 0302 clinical medicine, Surgical procedures, Models, Procedimientos quirúrgicos, Medicine and Health Sciences, COVIDSurg Collaborative Co-authors, Human health sciences, 11 Medical and Health Sciences, Operative/mortality, Conjuntos de Datos como Asunto, SARS-CoV-19, 2. Zero hunger, COVID-19/mortality, Modelos Estadísticos, Statistical, Humans, Surgical Procedures, Operative, Models, Statistical, Risk Assessment, Aprendizaje automático, Operative, Humanos, 3. Good health, surgery, covid, Operativo, Patient Safety, Covid-19, Aprendizaje Automático, 6.4 Surgery, Life Sciences & Biomedicine, Surgery - Radboud University Medical Center, 616.9, Sars-cov-2, Sciences de la santé humaine, COVIDSurg Collaborative, Vaccine Related, 03 medical and health sciences, Clinical Research, Biodefense, Cures perioperatòries, Aprenentatge automàtic, Machine learning, Mortalitat, Mortality, General surgery, Chirurgie, Operatius, Rapid Research Communications, Science & Technology, Surgical Procedures, Prevention, Kirurgi, 3202 Clinical sciences, Evaluation of treatments and therapeutic interventions, covid 19, pulmonary complications, postoperative mortality risk, SARS-CoV-2 infection, preoperative screening, vaccination, Radboudumc 14: Tumours of the digestive tract RIHS: Radboud Institute for Health Sciences, Good Health and Well Being, name=Surgery, Mortalidad, Procedimientos Quirúrgicos Operativos, Surgery, Human medicine, Estudios de Cohortes, Medición de Riesgo, Perioperative care
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https://doi.org/10.1093/bjs/znab183 -
2
Authors: et al.
Contributors: et al.
Source: Br J Cancer
Docusalut
Conselleria de Salut i Consum del Govern de les Illes Balears
Repisalud
Instituto de Salud Carlos III (ISCIII)
Tørring, M L, Murchie, P, Hamilton, W, Vedsted, P, Esteva, M, Lautrup, M, Winget, M & Rubin, G 2017, ' Evidence of advanced stage colorectal cancer with longer diagnostic intervals : A pooled analysis of seven primary care cohorts comprising 11 720 patients in five countries ', British Journal of Cancer, vol. 117, no. 6, pp. 888-897 . https://doi.org/10.1038/bjc.2017.236
British journal of cancer, 2017, Vol.117(6), pp.888-897 [Peer Reviewed Journal]
Tørring, M L, Murchie, P, Hamilton, W, Vedsted, P, Esteva, M, Lautrup, M D, Winget, M & Rubin, G 2017, 'Evidence of advanced stage colorectal cancer with longer diagnostic intervals : a pooled analysis of seven primary care cohorts comprising 11 720 patients in five countries', B J C, vol. 117, no. 6, pp. 888-897. https://doi.org/10.1038/bjc.2017.236Subject Terms: Male, Time Factors, bias, Delayed Diagnosis, Supplementary Data, Epidemiology, Derivación y Consulta, Denmark, España, Datasets as Topic, Colorectal Neoplasms/diagnosis, Cohort Studies, 0302 clinical medicine, Atención Primaria de Salud, 80 and over, Detección Precoz del Cáncer, delayed diagnosis, Masculino, Referral and Consultation, Early Detection of Cancer, Evaluación de Síntomas, Conjuntos de Datos como Asunto, Aged, 80 and over, Persona de Mediana Edad, Inglaterra, Adulto, Dinamarca, Femenino, Middle Aged, primary health-care, Humanos, 3. Good health, tumour staging, England, Female, Symptom Assessment, Colorectal Neoplasms, Adult, Canadá, Canada, Anciano, colorectal cancer, R Medicine, 03 medical and health sciences, Primary health-care, SDG 3 - Good Health and Well-being, Bias, Journal Article, Neoplasias Colorrectales, Tumour staging, Humans, Escocia, Aged, Primary Health Care, Waiting lists, waiting lists, Colorectal cancer, Anciano de 80 o más Años, primary health care, Scotland, Spain, Diagnóstico Tardío, Estudios de Cohortes, Factores de Tiempo, Delayed diagnosis
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https://doi.org/10.1038/bjc.2017.236 -
3
Authors: et al.
Contributors: et al.
Source: Sci Rep
Docusalut
Conselleria de Salut i Consum del Govern de les Illes Balears
Repisalud
Instituto de Salud Carlos III (ISCIII)
Repositorio Institucional de la Consejería de Sanidad de la Comunidad de Madrid
Consejería de Sanidad de la Comunidad de Madrid
Scientific reports, vol. 8, no. 1, pp. 10628
Zhang, Zhongxing; Mayer, Geert; Dauvilliers, Yves; Plazzi, Giuseppe; Pizza, Fabio; Fronczek, Rolf; Santamaria, Joan; Partinen, Markku; Overeem, Sebastiaan; Peraita-Adrados, Rosa; da Silva, Antonio Martins; Sonka, Karel; Rio-Villegas, Rafael del; Heinzer, Raphael; Wierzbicka, Aleksandra; Young, Peter; Högl, Birgit; Bassetti, Claudio; Manconi, Mauro; Feketeova, Eva; ... (2018). Exploring the clinical features of narcolepsy type 1 versus narcolepsy type 2 from European Narcolepsy Network database with machine learning. Scientific Reports, 8(1), p. 10628. Nature Publishing Group 10.1038/s41598-018-28840-w <http://dx.doi.org/10.1038/s41598-018-28840-w>Subject Terms: Adult, Male, Aprendizaje Automático Supervisado, Enfermedades Raras, Databases, Factual, Bases de Datos Factuales, Polysomnography, Datasets as Topic, Sleep, REM, 610 Medicine & health, Models, Biological, Article, Young Adult, 03 medical and health sciences, Rare Diseases, 0302 clinical medicine, Interpretación Estadística de Datos, Humans, Supervised machine learning, Masculino, narcolepsy, machine learning, Conjuntos de Datos como Asunto, Narcolepsy, Stochastic Processes, Polisomnografía, Adulto, Procesos Estocásticos, Curva ROC, Aprendizaje Automótico Supervisado, Femenino, Adulto Joven, Sleep disorders, Sleep Latency, Humanos, Modelos Biológicos, 3. Good health, [SDV] Life Sciences [q-bio], narcolepsy, machine learning, ROC Curve, Data Interpretation, Statistical, Latencia del Sueño, Female, Supervised Machine Learning, Sueño REM, Narcolepsia
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