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[HTML][HTML] Evaluating Machine Learning Models for Stroke Prognosis and Prediction in Atrial Fibrillation Patients: A Comprehensive Meta-Analysis
B Goh, SMM Bhaskar - Diagnostics, 2024 - pmc.ncbi.nlm.nih.gov
Background/Objective: Atrial fibrillation (AF) complicates the management of acute ischemic
stroke (AIS), necessitating precise predictive models to enhance clinical outcomes. This …
stroke (AIS), necessitating precise predictive models to enhance clinical outcomes. This …
[PDF][PDF] Early Warning Models Using Machine Learning to Predict Sepsis-Associated Chronic Critical Illness: A Study Based on the Medical Information Mart for …
Y Mei, M Li, Y Li, X Sheng, C Zhu, X Fan, L Zhang… - Cureus, 2024 - cureus.com
Background Patients with chronic critical illness (CCI) experience poor prognoses and incur
high medical costs. However, there is currently limited clinical awareness of sepsis …
high medical costs. However, there is currently limited clinical awareness of sepsis …
[HTML][HTML] Intérêt de l'intelligence artificielle pour la prédiction du pronostic post-AVC
Résumé En France, environ 150 000 accidents vasculaires cérébraux (AVC) surviennent
chaque année. Il s' agit de la première cause de handicap acquis de l'adulte, et la première …
chaque année. Il s' agit de la première cause de handicap acquis de l'adulte, et la première …
[PDF][PDF] Improvising Stroke Prediction Pipeline in a Personalized Stroke Recommendation System with Explanations and Semantic Reasoning
A Chatterjee - researchgate.net
Personalized approaches are required for stroke management due to the variability in
symptoms, triggers, and patient characteristics. An innovative stroke recommendation …
symptoms, triggers, and patient characteristics. An innovative stroke recommendation …