News
The disease is known for its strong association with climatic variables, especially excessive rainfall, high humidity, and ...
2d
AZoBuild on MSNResearchers Develop Machine Learning Model to Predict High-Strength Concrete PerformanceA new study presents a machine learning model that accurately predicts the compressive strength of high-strength concrete, ...
Apart from simple diagnosis, the study takes an important step toward predictive health monitoring by modeling the risk of ...
1d
HealthDay on MSNRandom Forest AI Model Superior for Inpatient Mortality Prognostication in CirrhosisFor inpatients with cirrhosis, a machine learning (ML) model using random forest (RF) analysis is superior for prediction of ...
The term dementia is used to describe various debilitating neurological disorders characterized by a progressive loss of ...
2d
News-Medical.Net on MSNMachine learning improves prediction of death risk in hospitalized cirrhosis patientsResearchers employed a machine learning technique known as random forest analysis and found that it significantly outperformed traditional methods in predicting which hospitalized patients with ...
Ever felt like where you live is having an impact on your mental health? Turns out, you're not imagining things.
AI offers promise in the realm of chronic disease management, including diabetes, obesity, and PCOS, but must be approached ...
Explore how AI predictive analytics reshapes industries by providing insights, forecasting trends, and enhancing ...
Northwestern Engineering faculty and students participated in the annual forum for advances in theory, empirics, and ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results