GitHub

Devikalahari03/Rainfall-Prediction-using-Machine-Learning

This project builds a supervised machine learning model trained on historical weather data to predict whether it will rain the next day. It includes a Flask web application with an interactive ...
PNAS

Identifying direct risk factors in UK Biobank via simultaneous Bayesian-frequentist model-averaged hypothesis testing using Doublethink

Understanding what causes disease is key to improving its treatment and prevention. Large health studies like UK Biobank measure thousands of possible causes of disease. Traditionally, scientists have ...
Frontiers

A comparative analysis of binary and multi-class classification machine learning algorithms to detect current frailty status using the English longitudinal study of ageing (ELSA)

Physical frailty is a pressing public health issue that significantly increases the risk of disability, hospitalization, and mortality. Early and accurate detection of frailty is essential for timely ...
BMJ

Molecular basis for the disease-modifying effects of belimumab in systemic lupus erythematosus and molecular predictors of early response: blood transcriptome analysis ...

Objectives Belimumab is a putative disease-modifying agent in systemic lupus erythematosus (SLE), yet the molecular underpinnings of its effects and the ability to predict early clinical response ...
The Lancet

Development and validation of a risk prediction model to diagnose Barrett's oesophagus (MARK-BE): a case-control machine learning approach

aDepartment of Industrial Engineering, Jerusalem College of Technology, Jerusalem, Israel bDepartment of Health Informatics, Jerusalem College of Technology, Jerusalem, Israel ...
PNAS

A hierarchy of linguistic predictions during natural language comprehension

Theorists propose that the brain constantly generates implicit predictions that guide information processing. During language comprehension, such predictions have indeed been observed, but it remains ...