machine learning

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Nature

Dozens of AI disease-prediction models were trained on dubious data

The models are designed to predict someone’s risk of diabetes or stroke. A few might already have been used on patients.
IEEE

Machine and Deep Learning Models for Stress Detection Using Multimodal Physiological Data

Abstract: Stress can disrupt daily activities and harm health if prolonged or severe. Early detection of mental stress, indicated by changes in bio-signals like thermal, electrical, and acoustic ...
IEEE

Hybrid and Ensemble Machine Learning Models for Effective Imbalanced Data Classification

Abstract: This study explores the effectiveness of advanced machine learning models in addressing classification challenges within imbalanced datasets. In this paper, two models are developed, ...
lupus.bmj

Prediction of mortality risk in critically ill patients with systemic lupus erythematosus: a machine learning approach using the MIMIC-IV database

Objective Early prediction of long-term outcomes in patients with systemic lupus erythematosus (SLE) remains a great challenge in clinical practice. Our study aims to develop and validate predictive ...
Journal of Medical Internet Research

A Supervised Explainable Machine Learning Model for Perioperative Neurocognitive Disorder in Liver-Transplantation Patients and External Validation on the Medical Information ...

A Supervised Explainable Machine Learning Model for Perioperative Neurocognitive Disorder in Liver-Transplantation Patients and External Validation on the Medical Information Mart for Intensive Care ...