In a recent study published in Scientific Reports, researchers developed a machine learning-based heart disease prediction model (ML-HDPM) that uses various combinations of information and numerous ...
A recent Nature Medicine study combines measurements of plasma proteins and clinical information to construct sparse prediction models for the 10-year incidence of several rare and common diseases.
Machine learning sharpens CAD prediction but falls short in detecting plaques most likely to cause cardiac events in patients ...
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Predicting disease outbreaks using social media
Vaccination rates are falling in many communities due to widespread misinformation and previously eliminated or controlled illnesses like measles are surging across the United States and Canada.
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 ...
Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...
Low-dose computed tomography (LDCT) screening is effective in reducing lung cancer mortality by detecting the disease at earlier, more treatable stages. However, high false-positive rates and the ...
Researchers at the University of California San Diego School of Medicine have developed a new approach for identifying ...
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