The Lancet

Optimised machine learning for time-to-event prediction in healthcare applied to timing of gastrostomy in ALS: a multi-centre, retrospective model development and validation study

Optimised machine learning for time-to-event prediction in healthcare applied to timing of gastrostomy in ALS: a multi-centre, retrospective model development and validation study Marcel Weinreich a, ...

Machine Learning Can Forecast Which Stock Factors Will Outperform

Can machine learning predict which equity factors will outperform? A new study finds that machine learning models, especially ...

A less invasive, more effective method to analyze immunotherapy efficacy

Immunotherapy has been one of the most promising advancements in cancer treatment. However, consistency in immunotherapy ...
IEEE

Advancing Model Performance With ADASYN and Recurrent Feature Elimination and Cross-Validation in Machine Learning-Assisted Credit Card Fraud Detection: A Comparative Analysis

Abstract: Online card transactions have become more frequent due to the growth of e-commerce and financial technology apps. However, this also means more opportunities for credit card fraud, which ...
Devdiscourse

Growing role of artificial intelligence in global nutrition and public health

Traditionally, nutrition professionals have relied on self-reported food logs, interviews, and recall surveys, methods prone ...
Journal of Medical Internet Research

Panic Attack Prediction for Patients With Panic Disorder via Machine Learning and Wearable Electrocardiography Monitoring: Model Development and Validation Study

Panic attack prediction remains a critical challenge in mental health management due to the high inter-individual variability of physiological responses and the subjectivity of psychological ...
Frontiers

Development and validation of a machine learning model for predicting early postoperative complications after radical gastrectomy

1 Department of General Surgery, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, China 2 Department of Neurology, Peking Union ...
C&EN

Alumina-Supported Catalyst Development for Propane Dehydrogenation via Interpretable Machine Learning and Experimental Validation

State Key Laboratory of Fine Chemicals, Liaoning Key Laboratory for Catalytic Conversion of Carbon Resources, School of Chemistry, School of Chemical Engineering, Dalian University of Technology, ...
Frontiers

Identification and validation of biomarkers in gastric cancer-associated membranous nephropathy: Insights from comprehensive bioinformatics analysis and machine learning

1 Department of Nephrology, China-Japan Friendship Hospital, Beijing, China 2 Department of Nephrology, Peking University China-Japan Friendship School of Clinical Medicine, Beijing, China Background: ...
Phys.org

Between rain and snow, machine learning finds nine precipitation types

In research that could improve weather forecasting and winter driving safety, a University of Michigan-led study distinguished nine distinct precipitation types—varieties of rain, snow and mixed-phase ...