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 ...
To shed light on the possible causal link between type 2 diabetes and autoimmune liver disease, a research team led by Jinlong Liu, MD, from the Affiliated Hospital of Chengde Medical University and ...
Vitamin D deficiency is significantly associated with polycystic ovary syndrome (PCOS) and may play a role in its development by worsening metabolic dysfunction. Mendelian randomization ...
Long-term lithium therapy remains the most effective maintenance treatment for bipolar disorder, yet it poses a significant risk of progressive renal impairment in a subset of patients. Early ...
Background: Although severe maternal morbidity (SMM), such as severe hemorrhage and sepsis, can occur from conception to 6 ...
Posttransplant cyclophosphamide–containing prophylaxis correlated with lower aGVHD risk than tacrolimus/methotrexate, and ATG/alemtuzumab use contributed to risk estimation. Clinical utility includes ...
Statsmodels helps analyze data using Python, especially for statistics, regression, and forecasting.The best Statsmodels courses in 2026 fo ...
Dupixent drives a larger share of Sanofi's revenue, with atopic dermatitis, asthma, and CRSwNP as core indications. Learn ...
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.
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