Researchers developed and validated ElasticNet machine learning models that predict 12-month MMSE and BADL outcomes in ...
How predictions would impact clinical decision-making is another question, expert says ...
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 ...
An artificial intelligence system for early prediction of breast cancer regression pattern during neoadjuvant chemotherapy. This is an ASCO Meeting Abstract from the ASCO Breakthrough: A Global Summit ...
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 ...
Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk identification to improve prevention and management strategies. Traditional risk ...