Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...
A total of 590 patients were identified, 432 in the development set and 158 in the validation set. The median age was 51 years, and 55.8% (329 of 590) experienced grade 3 or 4 toxicity. The ...
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Machine-learning model can reliably predict cognitive performance based on lifestyle indicators
A new study offers insight into the health and lifestyle indicators—including diet, physical activity and weight—that align most closely with healthy brain function across the lifespan. The study used ...
Sensor data from wearable devices analyzed over five years reveals walking and posture differences that predict fall risk in Parkinson’s patients. Study: Predicting future fallers in Parkinson’s ...
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 ...
Researchers sought to determine an effective approach to predict postembolization fever in patients undergoing TACE.
Please provide your email address to receive an email when new articles are posted on . Machine learning models may accurately predict outcome measures for patients undergoing MPFL reconstruction.
The illustration depicts some of the innovative ideas that underpin the new machine learning model that can quickly and accurately predict the dielectric function of simple molecules, such as shifting ...
A University of Alberta research team has successfully used machine learning as a tool for earlier detection of attention deficit hyperactivity disorder (ADHD) in kindergarten students. In a recent ...
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