IEEE

Heart Disease Prediction Using Machine Learning Algorithms

Abstract: Cardiovascular diseases constitute one of the leading causes of death worldwide. The healthcare industry benefits from regular patient monitoring and timely diagnostics, which have improved ...
The Lancet

Oesophageal cancer multi-disciplinary tool: a co-designed, externally validated, machine learning tool for oesophageal cancer decision making

These authors are jointly share Last Author for this manuscript. Clinicopathological data collected from 1931 patients between 4th September 2009, and 8th November 2022 were used to test and validate ...
Frontiers

Machine learning-based prediction of 1-year mortality using nutritional and inflammatory factors for type A acute aortic dissection with malperfusion

Background: Acute aortic dissection is a life-threatening condition, and malperfusion significantly exacerbates the prognosis of patients diagnosed with type A Acute aortic dissection (ATAAD). Current ...
Frontiers

Explainable machine learning model for predicting the outcome of acute ischemic stroke after intravenous thrombolysis

Introduction: Acute ischemic stroke (AIS) patients often experience poor functional outcomes post-intravenous thrombolysis (IVT). Novel computational methods leveraging machine learning (ML) ...