EurekAlert!

An interpretable machine learning model for predicting 5‐year survival in breast cancer based on integration of proteomics and clinical data

Breast cancer is a highly heterogeneous malignancy among women worldwide. Traditional prognostic models relying solely on ...
Open Heart

Development and validation of a 10-year predictive model for cardiovascular and metabolic disease risk: insights from a large-scale health examination cohort

Objective To develop and validate a 10-year predictive model for cardiovascular and metabolic disease (CVMD) risk using ...
BMJ

Machine learning approaches to injury risk prediction in sport: a scoping review with evidence synthesis

Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...
JSTOR Daily

Prognostic models for outcome prediction in patients with chronic obstructive pulmonary disease

This is a preview. Log in through your library . Abstract OBJECTIVE To map and assess prognostic models for outcome prediction in patients with chronic obstructive pulmonary disease (COPD). DESIGN ...
Geeky Gadgets

How to use PyTriton to deploy and AI model in Python

When it comes to deploying Artificial Intelligence (AI) models, Python is a popular choice among developers, and PyTriton is rapidly becoming a favored tool for this task. Today, we’ll delve into the ...
The Economist

How The Economist's presidential forecast works

A common criticism of fundamentals models is that they are extremely easy to “over-fit”—the statistical term for deriving equations that provide a close match to historical data, but break down when ...