A new machine learning model built using a simple and interpretable approach predicts in-hospital death in patients with acute liver failure and reveals top risk drivers.

A new study suggests that lenders may get their strongest overall read on credit default risk by combining several machine learning models rather than relying on a single algorithm. The researchers ...

A study finds SC use is concentrated among a small number of surgeons and hospitals. Authors say it should be saved for clear ...

Background Illicit trade in cigarettes undermines the public health and fiscal objectives of tobacco taxation. In South ...

A new study published in the journal of Plos One showed that over the course of their lives, about one in three people with cystic fibrosis (CF) develop nephrolithiasis. The occurrence of ...

Posttransplant cyclophosphamide–containing prophylaxis correlated with lower aGVHD risk than tacrolimus/methotrexate, and ATG/alemtuzumab use contributed to risk estimation. Clinical utility includes ...

Background Patients with heart failure (HF) frequently suffer from undetected declines in cardiorespiratory fitness (CRF), which significantly increases their risk of poor outcomes. However, current ...

Advances in artificial intelligence (AI) are now opening new possibilities for faster and more accurate flood mapping, enabling researchers to process large volumes of environmental data and satellite ...

Understanding society requires not a choice between stories and statistics, but a careful integration of both.

Medicaid managed care organizations should prioritize children in low-opportunity neighborhoods to optimize health care utilization, improve minority health, and address health-related social needs.

Objective: To explore the risk factors for perianal infections in patients with neutropenia and evaluate the effectiveness of different preventive measures. Methods: A r ...