Medical Dialogues

AI–Based Model for Early Prediction of Preeclampsia Using First-Trimester Biomarkers — Cureus Study

A recent study on the development and validation of an AI-based framework for first-trimester preeclampsia risk assessment ...
IEEE

Enhancing Medicare Fraud Detection With a CNN-Transformer-XGBoost Framework and Explainable AI

Abstract: Healthcare fraud is a critical challenge, contributing significantly to rising healthcare costs and financial losses. This article proposes a hybrid architecture for healthcare fraud ...
The Lancet

Machine learning prediction of 1-year mortality in older patients with heart failure: a nationwide, multicenter, prospective cohort study

A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...
FinanceFeeds

Crypto Machine Learning Algorithms Explained for Beginners

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...
IEEE

Multi-View Disparity Estimation Using the Gradient Consistency Model

Abstract: Variational approaches to disparity estimation typically use a linearised brightness constancy constraint, which only applies in smooth regions and over small distances. Accordingly, current ...