An AI tool, created by researchers at Johns Hopkins and Duke universities, could revolutionize how public health officials ...

A new AI tool to predict the spread of infectious disease outperforms existing state-of-the-art forecasting methods.

For CHD, we identified the first event from any of the following sources: Cause of death includes International Classification of Disease (ICD ... Cardiovascular risk prediction is a cornerstone of ...

Finally, the identified clinical risk factors will be used to establish a clinical prediction model through logistic regression. The clinical radiomics nomogram was constructed by integrating clinical ...

A machine learning-based system that predicts multiple diseases using patient health data. This project helps in early diagnosis by analyzing symptoms and medical parameters to provide accurate ...

Enter RiskPath, a new technology that analyzes patterns in health data collected over multiple ... diseases out there, and some of the big ones are things that are the major diseases that affect ...

Enter RiskPath, a new technology that analyzes patterns in health data collected over multiple ... are the major diseases that affect humans." The research shows current medical prediction systems ...

The team looked at how multiple long-term chronic diseases are connected to a greater risk of developing depression. Previous multimorbidity research often focused on physical disease, but the links ...

Abstract: This innovative study applies Machine Learning (ML) techniques to construct an all-encompassing Multiple Disease Prediction System using datasets from Kaggle. The dataset holds great ...

Background Current cardiovascular disease (CVD) risk prediction models tailored for older adults are inadequate. This study aimed to validate, update and assess the utility of widely used CVD risk ...

The conclusions provide important insights for the development of artificial intelligence (AI) powered, clinically applicable heart disease prediction systems. • Clinical Data: Data about the patient ...

4 In epidemic prediction ... combining multiple algorithms simultaneously. 4 NNs have become incredibly valuable in pathogen detection, particularly in assessing interactions of disease ...