Detecting depression severity using weighted random forest and oxidative stress biomarkers

M Bader, M Abdelwanis, M Maalouf, HF Jelinek - Scientific Reports, 2024 - nature.com
This study employs machine learning to detect the severity of major depressive disorder
(MDD) through binary and multiclass classifications. We compared models that used only …

Development of artificial neural network models for paediatric critical illness in South Africa

MA Pienaar, JB Sempa, N Luwes, EC George… - Frontiers in …, 2022 - frontiersin.org
Objectives Failures in identification, resuscitation and appropriate referral have been
identified as significant contributors to avoidable severity of illness and mortality in South …

Mortality risk prediction models: Methods of assessing discrimination and calibration and what they mean

LJ Solomon - Southern African Journal of Critical Care (Online), 2022 - scielo.org.za
Mortality prediction models, which this author prefers to call outcome-risk assignment
models, are ubiquitous in critical care practice. They are designed to assess the risk of dying …

[PDF][PDF] Les scores de gravité en réanimation pédiatrique: Etat des lieux et intérêts

MM CHATTI - 1995 - wd.fmpm.uca.ma
Les scores de gravité en réanimation pédiatrique : Etat des lieux et intérêts Page 1 Année 2022
Thèse N336 Les scores de gravité en réanimation pédiatrique : Etat des lieux et intérêts THÈSE …