When I first realized the scale of the challenge posed by neurodegenerative diseases, such as Alzheimer's, Parkinson's ...
KillChainGraph predicts attack sequences using machine learning. Rather than just flagging individual suspicious events, it ...
Using medical data from sick patients while they're still at home, traveling in an ambulance and receiving care in the ...
An AI system that can predict what a patient's knee X-ray will look like a year in the future could transform how millions of ...
Cancer, Alzheimer’s, and other diseases follow a pathway in the human body. It starts at the molecular and cellular levels, and through a series of complex interactions can lead to the development and ...
Abstract: This innovative research uses datasets from Kaggle to leverage Machine Learning (ML) techniques to develop a complete unified disease prediction system. With its comprehensive coverage of ...
The authors have declared no conflicts of interest. This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors. The work was supported ...
Background: Chronic Coronary Disease (CCD) is a leading global cause of morbidity and mortality. Existing Pre-test Probability (PTP) models mainly rely on in-hospital data and clinician judgment. This ...
10 The George Institute for Global Health, School of Public Health, Imperial College London, London, UK Background Cardiovascular risk is underassessed in women. Many women undergo screening ...
This project aims to predict the presence of heart disease based on patient data using machine learning. The dataset includes various medical attributes such as age, sex, cholesterol levels, blood ...
FIU Researchers are training AI to detect heart conditions, like aortic stenosis and heart failure, by analyzing heart sound data to improve early diagnosis and risk prediction. The future of heart ...
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