A machine learning (ML)-based model may aid in-hospital community-acquired pneumonia (CAP) mortality prediction, according to study findings published in Respiratory Medicine. Res ...

Leads to sustained decline in tuberculosis death rate in six Tamil Nadu districts ...

ROC curves illustrating the discriminative ability of the VR-specific 30-day mortality prediction models. (A–C) Performance of the high VR model in the ARDSnet training cohort (A), internal validation ...

A kidney transplant risk prediction model demonstrated accuracy at 10 years for predicting mortality risks, according to ...

Patients with myelodysplastic syndromes (MDS) exhibit diverse disease trajectories necessitating different clinical approaches ranging from watch-and-wait strategies to hematopoietic stem cell ...

Sepsis is one of the most common and lethal syndromes encountered in intensive care units (ICUs), and acute respiratory failure (ARF) represents one of its most critical complications. Once ...

In a bid to improve end-of-life care for incarcerated individuals in the California prison system, UC San Francisco researchers have found a way to predict who is most likely to die within two years ...

This study applied three models—random forest (RF), gradient boosting regression (GBR), and linear regression (LR)—to predict county-level LC mortality rates across the United States. Model ...

Researchers developed and validated a machine learning model based on logistic regression that used routine clinical and treatment data to accurately predict in-hospital deaths among patients with ...