Researchers developed and validated ElasticNet machine learning models that predict 12-month MMSE and BADL outcomes in ...
Feasibility and Implementation of a Digital Health Intervention Electronic Patient-Reported Outcomes–Based Platform for Telemonitoring Patients With Breast Cancer Undergoing Chemotherapy Among the 76 ...
Both approaches identified hemoglobin as one of the most significant predictors of CKD risk. Additional top-ranked features included blood urea, sodium levels, red blood cell count, potassium, and ...
Understanding and preventing drug side effects holds a profound influence on drug development and utilization, profoundly impacting patients’ physical and mental well-being. Traditional artificial ...
A new review highlights how machine learning is transforming the way scientists detect and measure organic pollutants in the ...
Performance evaluation of an AI-powered system for clinical trial eligibility using mCODE data standards. ATheNa-Breast: A real-world pilot of an artificial intelligence (AI) chatbot using therapy ...
Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk identification to improve prevention and management strategies. Traditional risk ...
This research initiative highlights the importance of ethical and explainable artificial intelligence in workforce ...
We’re living in a time when data shapes almost every choice we make, from picking a winning football team to deciding where to invest our savings. This shift toward calculated predictions is changing ...
Plants are constantly exposed to a wide array of biotic and abiotic stresses in their natural environments, posing ...
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