Dynamic prediction of cancer-associated thrombosis to guide prophylactic anticoagulation. Age distribution of metastatic cancer patients and chemotherapy discontinuation rates.

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 ...

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 ...

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk identification to improve prevention and management strategies. Traditional risk ...

How predictions would impact clinical decision-making is another question, expert says ...

Immunotherapy at the end of life. This is an ASCO Meeting Abstract from the 2024 ASCO Quality Care Symposium. This abstract does not include a full text component.

DataZapp brings AI and machine learning to deliver affordable, predictive demand generation and marketing data for home ...