IEEE

A Two-Stage Anomaly Detection Framework for Improved Healthcare Using Support Vector Machines and Regression Models

Abstract: This paper presents an effective two-stage anomaly detection technique for wireless body area networks (WBANs)-based personalized healthcare monitoring. Our method uses SMO regression ...
Open Heart

Enhanced cardiovascular disease risk prediction using integrated machine learning models: a study from the UK Biobank cohort

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...
Frontiers

Prioritizing Vaginal Hysterectomy: A Stepped Algorithm with vNOTES Support for Benign Indications

The final, formatted version of the article will be published soon. Objective: This prospective study aimed to evaluate the clinical outcomes of a standardized surgical algorithm adopting a ...
IEEE

Bone Cancer Prediction Using Regression Algorithms and Machine Learning Approaches

Abstract: Bone cancer is an aggressive disease that is often difficult to diagnose and treat and can be very dangerous for the patient. Bone cancer needs to be predicted in time and accurately for ...