Search Results - "Predictive parameters"
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1
Authors: et al.
Source: Sanamed, Vol 20, Iss 2, Pp 157-167 (2025)
Subject Terms: syncope, pediatric population, eeg, echocardiography, predictive parameters, clinical characteristics, electrocardiography, Medicine (General), R5-920
File Description: electronic resource
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2
Authors: et al.
Source: Asian J Androl
Asian Journal of Andrology, Vol 26, Iss 5, Pp 441-450 (2024)Subject Terms: varicocele, Male, Invited Review, varicocele repair, artificial intelligence, Diseases of the genitourinary system. Urology, 3. Good health, 03 medical and health sciences, Treatment Outcome, 0302 clinical medicine, Artificial Intelligence, Varicocele, Humans, RC870-923, predictive parameters, Infertility, Male
File Description: application/pdf
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3
Authors: et al.
Source: Clin Exp Metastasis
Subject Terms: Research, Sarcoma, Soft Tissue Neoplasms, Lymph Nodes/pathology [MeSH], Soft Tissue Neoplasms/pathology [MeSH], Humans [MeSH], Necrosis/pathology [MeSH], Retrospective Studies [MeSH], Lymph node metastasis, Fluorodeoxyglucose F18 [MeSH], Sarcoma/pathology [MeSH], Soft tissue sarcoma, Lymphatic Metastasis/pathology [MeSH], Staging imaging, Positron Emission Tomography Computed Tomography/methods [MeSH], Predictive parameters, 3. Good health, Necrosis, 03 medical and health sciences, 0302 clinical medicine, Fluorodeoxyglucose F18, Positron Emission Tomography Computed Tomography, Lymphatic Metastasis, Humans, Lymph Nodes, Retrospective Studies
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4
Authors: et al.
Source: European Journal of Medical Research, Vol 29, Iss 1, Pp 1-12 (2024)
Subject Terms: Polytrauma, Bowel and mesenteric injury, Parenchymatous injury, Computed tomography, Laboratory parameters, Predictive parameters, Medicine
File Description: electronic resource
Relation: https://doaj.org/toc/2047-783X
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5
Authors: et al.
Source: Acta Clinica Croatica, Vol 63., Iss 2, Pp 368-375 (2024)
Subject Terms: Predictive parameters, Initial function, Maturation, Arteriovenous fistula, Timing of creation, Medicine
File Description: electronic resource
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6
Authors:
Source: Eye and Vision, Vol 10, Iss 1, Pp 1-6 (2023)
Subject Terms: Keratoconus, Progression, Corneal tomography, Predictive parameters, Ophthalmology, RE1-994
File Description: electronic resource
Relation: https://doaj.org/toc/2326-0254
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7
Authors: et al.
Subject Terms: Blastcyst, Morphokinetics, Pig, Predictive parameters, Time-lapse
Relation: https://repository.canterbury.ac.uk/download/e562780645dd25bf4e52f09cb34ecdf6fa9cf018531e4f0d8bf8777b5b829a8a/2321732/animals-14-00783.pdf; https://doi.org/10.3390/ani14050783
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8
Authors: et al.
Source: Metabolites ; Volume 14 ; Issue 4 ; Pages: 198
Subject Terms: hepatic steatosis, evolutive models, algorithms, computational approaches, progression prediction, predictive parameters
File Description: application/pdf
Relation: Endocrinology and Clinical Metabolic Research; https://dx.doi.org/10.3390/metabo14040198
Availability: https://doi.org/10.3390/metabo14040198
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9
Authors: et al.
Source: Thorac Cancer
Thoracic Cancer, Vol 12, Iss 21, Pp 2914-2923 (2021)Subject Terms: PD‐1 inhibitors, Adult, Male, Lung Neoplasms, survival, 03 medical and health sciences, 0302 clinical medicine, Carcinoma, Non-Small-Cell Lung, Humans, predictive parameters, Immune Checkpoint Inhibitors, RC254-282, Aged, Retrospective Studies, Aged, 80 and over, Inflammation, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, Original Articles, Middle Aged, Prognosis, inflammation‐nutritional markers, Progression-Free Survival, 3. Good health, lung cancer, Female, Biomarkers
Access URL: https://onlinelibrary.wiley.com/doi/pdfdirect/10.1111/1759-7714.14152
https://pubmed.ncbi.nlm.nih.gov/34581010
https://doaj.org/article/418a0f4641874042a65eee3cfea5d759
https://www.ncbi.nlm.nih.gov/pubmed/34581010
https://onlinelibrary.wiley.com/doi/10.1111/1759-7714.14152
https://pubmed.ncbi.nlm.nih.gov/34581010/
https://onlinelibrary.wiley.com/doi/pdf/10.1111/1759-7714.14152 -
10
Authors:
Source: J Foot Ankle Res
Journal of Foot and Ankle Research, Vol 16, Iss 1, Pp n/a-n/a (2023)Subject Terms: Glycated Hemoglobin, Research, Mortality predictive parameters, Diseases of the musculoskeletal system, Comorbidity, Amputation, Surgical, 3. Good health, Death, Diabetic foot, Above‐knee amputation, Below‐knee amputation, RC925-935, Creatinine, Albumins, Humans, Retrospective Studies, Demography
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11
Authors: et al.
Source: The Journal of Engineering (2019)
Subject Terms: scattering entropy, 0211 other engineering and technologies, radar computing, convolutional neural network, radar polarimetry, antientropy, 02 engineering and technology, Engineering (General). Civil engineering (General), sar image classification, synthetic aperture radar image classification, radar imaging, single-dual-polarimetric sar data, convolutional neural nets, full-polarimetric sar data, 0202 electrical engineering, electronic engineering, information engineering, predictive parameters, TA1-2040, average relative error, image classification, synthetic aperture radar, full-polarimetric scattering characteristic prediction, gf-3 polarised sar database
Access URL: https://ietresearch.onlinelibrary.wiley.com/doi/pdfdirect/10.1049/joe.2019.0563
https://doaj.org/article/3ab61716d12c466a8450592d6e0420d9
https://ietresearch.onlinelibrary.wiley.com/doi/pdf/10.1049/joe.2019.0563
https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0563
https://ietresearch.onlinelibrary.wiley.com/doi/abs/10.1049/joe.2019.0563 -
12
Authors: et al.
Subject Terms: Developmental Biology, Science Policy, Plant Biology, Biological Sciences not elsewhere classified, wingate anaerobic test, way anova tests, pearson &# 8217, new conceptual metric, means clustering method, 91 &# 8201, 31 ), medium, 30 ), low, 04 ± 6, body surface area, body composition assessment, strongest predictive variable, multiple linear regression, div >< p, 60 ± 4, 66 kg ), r linear correlation, 62 years ), 2 , experience , 28 ± 4, define sport level, predictive parameters, sport performance
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13
Authors: et al.
Subject Terms: Developmental Biology, Science Policy, Plant Biology, Biological Sciences not elsewhere classified, wingate anaerobic test, way anova tests, pearson &# 8217, new conceptual metric, means clustering method, 91 &# 8201, 31 ), medium, 30 ), low, 04 ± 6, body surface area, body composition assessment, strongest predictive variable, multiple linear regression, div >< p, 60 ± 4, 66 kg ), r linear correlation, 62 years ), 2 , experience , 28 ± 4, define sport level, predictive parameters, sport performance
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14
Authors: et al.
Subject Terms: Developmental Biology, Science Policy, Plant Biology, Biological Sciences not elsewhere classified, wingate anaerobic test, way anova tests, pearson &# 8217, new conceptual metric, means clustering method, 91 &# 8201, 31 ), medium, 30 ), low, 04 ± 6, body surface area, body composition assessment, strongest predictive variable, multiple linear regression, div >< p, 60 ± 4, 66 kg ), r linear correlation, 62 years ), 2 , experience , 28 ± 4, define sport level, predictive parameters, sport performance
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15
Authors: et al.
Subject Terms: Developmental Biology, Science Policy, Plant Biology, Biological Sciences not elsewhere classified, wingate anaerobic test, way anova tests, pearson &# 8217, new conceptual metric, means clustering method, 91 &# 8201, 31 ), medium, 30 ), low, 04 ± 6, body surface area, body composition assessment, strongest predictive variable, multiple linear regression, div >< p, 60 ± 4, 66 kg ), r linear correlation, 62 years ), 2 , experience , 28 ± 4, define sport level, predictive parameters, sport performance
Availability: https://doi.org/10.1371/journal.pone.0324853.t003
https://figshare.com/articles/dataset/Order_statistics_mean_standard_deviation_and_95_confidence_interval_with_repeated-measures_ANOVA_and_Tukey_s_HSD_post_hoc_comparisons_of_anaerobic_performance_determined_in_the_Wingate_test_/29131787 -
16
Authors: et al.
Subject Terms: Developmental Biology, Science Policy, Plant Biology, Biological Sciences not elsewhere classified, wingate anaerobic test, way anova tests, pearson &# 8217, new conceptual metric, means clustering method, 91 &# 8201, 31 ), medium, 30 ), low, 04 ± 6, body surface area, body composition assessment, strongest predictive variable, multiple linear regression, div >< p, 60 ± 4, 66 kg ), r linear correlation, 62 years ), 2 , experience , 28 ± 4, define sport level, predictive parameters, sport performance
Availability: https://doi.org/10.1371/journal.pone.0324853.t004
https://figshare.com/articles/dataset/Order_statistics_mean_standard_deviation_and_95_confidence_interval_with_repeated-measures_ANOVA_and_Tukey_s_HSD_post_hoc_comparisons_of_gas_analysis_cardiorespiratory_responses_blood_gasometry_variables_and_lactate_ions_concentrations_meas/29131790 -
17
Authors: et al.
Subject Terms: Developmental Biology, Science Policy, Plant Biology, Biological Sciences not elsewhere classified, wingate anaerobic test, way anova tests, pearson &# 8217, new conceptual metric, means clustering method, 91 &# 8201, 31 ), medium, 30 ), low, 04 ± 6, body surface area, body composition assessment, strongest predictive variable, multiple linear regression, div >< p, 60 ± 4, 66 kg ), r linear correlation, 62 years ), 2 , experience , 28 ± 4, define sport level, predictive parameters, sport performance
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18
Authors: et al.
Subject Terms: Developmental Biology, Science Policy, Plant Biology, Biological Sciences not elsewhere classified, wingate anaerobic test, way anova tests, pearson &# 8217, new conceptual metric, means clustering method, 91 &# 8201, 31 ), medium, 30 ), low, 04 ± 6, body surface area, body composition assessment, strongest predictive variable, multiple linear regression, div >< p, 60 ± 4, 66 kg ), r linear correlation, 62 years ), 2 , experience , 28 ± 4, define sport level, predictive parameters, sport performance
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19
Authors: et al.
Subject Terms: Developmental Biology, Science Policy, Plant Biology, Biological Sciences not elsewhere classified, wingate anaerobic test, way anova tests, pearson &# 8217, new conceptual metric, means clustering method, 91 &# 8201, 31 ), medium, 30 ), low, 04 ± 6, body surface area, body composition assessment, strongest predictive variable, multiple linear regression, div >< p, 60 ± 4, 66 kg ), r linear correlation, 62 years ), 2 , experience , 28 ± 4, define sport level, predictive parameters, sport performance
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20
Authors: et al.
Contributors: et al.
Subject Terms: Patients’ characteristics, Pelvic organ prolapse, Pessary fitting, Predictive factors, Predictive parameters, Vaginal pessaries, Urology, Obstetrics and Gynaecology, Review, Journal Article
File Description: application/pdf
Availability: https://dspace.library.uu.nl/handle/1874/445341
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