Heart

Predicting 30-day mortality after hospital admission for heart failure: the National Heart Failure Audit for England and Wales

Background The National Heart Failure Audit gathers data on patients coded at discharge (or death) as having heart failure as ...
News Medical

Smartphone motor tests can predict dopamine deficiency in Parkinson’s disease without brain scans

Study: Smartphone-based prediction of dopaminergic deficit in prodromal and manifest Parkinson’s disease. Image Credit: mozakim / Shutterstock.com Parkinson’s disease (PD) is a neurodegenerative ...
Medscape

AI Model May Help Predict Pediatric Sepsis Before Organ Dysfunction

Among pediatric patients presenting to the emergency department (ED) with high fevers, pinpointing those at risk for developing sepsis “is akin to looking for a needle in the haystack,” said Elizabeth ...
Scientific Research Publishing

Heart Disease Prediction: A Logistic Regression Approach ()

1 School of Computing and Data Science, Wentworth Institute of Technology, Boston, USA. 2 Department of Computer Science and Quantitative Methods, Austin Peay State University, Clarksville, USA. 3 ...
IEEE

High accuracy Diabetes Prediction Using Logistic Regression

Abstract: Diabetes affects 537 million people worldwide, making it the deadliest and most frequent noncommunicable disease. According to studies on diabetes patients, the prevalence of diabetes in ...
Frontiers

Predicting mortality in intensive care unit patients with CAUTI using an interpretable machine learning model: a retrospective cohort study from MIMIC-IV database

Objective: The aim of this study was to develop a reliable model for predicting mortality in patients with catheter-associated urinary tract infection (CAUTI) in intensive care unit (ICU). Methods: ...
IEEE

Improving Parkinson's Disease Prediction Accuracy: A Comparative Analysis of Logistic Regression and Decision Tree Models

Abstract: This study aims to determine the effectiveness of predicting Parkinson's Disease and to evaluate the accuracy of different predictive models. Specifically, it compares the performance of ...
Scientific Research Publishing

Rahimloo, P. and Jafarian, A. (2016) Prediction of Diabetes by Using Artificial Neural Network, Logistic Regression Statistical Model and Combination of Them.

ABSTRACT: This paper aims to investigate the effectiveness of logistic regression and discriminant analysis in predicting diabetes in patients using a diabetes dataset. Additionally, the paper ...
CoinTelegraph

57% of Kalshi bettors predict Gemini will emerge as top AI text model in 2025

Gemini’s lead comes after a series of updates, while OpenAI’s ChatGPT and xAI’s Grok have suffered missteps. Bettors on Kalshi, a prediction market, forecast that Google’s Gemini will emerge as the ...
Live Science

New AI system can 'predict human behavior in any situation' with unprecedented degree of accuracy, scientists say

A new artificial intelligence (AI) model called Centaur can predict and simulate human thought and behavior better than any past models, opening the door for cutting-edge research applications. When ...
The New York Times

Google and U.S. Experts Join on A.I. Hurricane Forecasts

The National Hurricane Center will experiment with the company’s DeepMind program to enhance the work of its expert meteorologists. By William J. Broad For the first time, the National Hurricane ...