Predictive analytics–driven disease management outperforms standard of care among patients with chronic heart failure. Objectives: To evaluate the effect of a predictive algorithm–driven disease ...

The SleepFM model reveals how sleep analysis can predict disease risk, offering insights into sleep's role as a vital health ...

BiLSTM, an ICD-11 automatic coding model using MC-BERT and label attention. Experiments on clinical records show 83.86% ...

For decades, the process of drug discovery has been a prolonged, costly, and unpredictable endeavor — an effort that ...

A new study using machine learning (ML) identified four distinct lupus disease profiles or autoantibody clusters that are predictive of long-term disease, treatment requirements, organ involvement and ...

Urological malignancies, including prostate, bladder, renal, and testicular cancers, represent a major global health burden and display remarkable ...

In a major leap toward strengthening public health security, India is set to transform its disease surveillance approach from traditional detective methods to a predictive model by integrating cutting ...

India is set to make a major leap in strengthening public health security by shifting from a detective-style disease surveillance model to a predictive analysis model, integrating technologies such as ...

Dr. Gustavo Avila-Ortiz, a distinguished figure in periodontics, has an extensive educational and professional background. He obtained his Doctor of Dental Surgery degree and completed a PhD training ...

What are the different types of predictive modeling? Your email has been sent Predictive modeling is a type of data mining that is used in a variety of situations and industries. This process involves ...