Latest AI and machine learning research in public health & policy for healthcare professionals.
In a context of nematodicidal resistance, anthelmintic combinations have emerged as a reliable pharm...
Hypertension is a significant public health issue. The ability to predict the risk of developing hyp...
A growing literature is utilizing machine learning methods to develop psychopathology risk algorithm...
Aβ-amyloid deposition is a key feature of Alzheimer's disease, but Consortium to Establish a Registr...
The reaction-diffusion equation serves to model systems in the diffusion regime with sources. Specif...
Spatial lifecourse epidemiology is an interdisciplinary field that utilizes advanced spatial, locati...
BACKGROUND: Identifying dementia early in time, using real world data, is a public health challenge....
Identifying and understanding the risk factors for endemic bovine tuberculosis (TB) in cattle herds ...
We aimed to estimate metabolic bone profile in a large cohort of healthy, adult Indian population to...
Digital care management programs can reduce health care costs and improve quality of care. However, ...
Inappropriate management of health and safety (H&S) risk in power infrastructure projects can result...
Hearing impairment (HI) is a common sensory disorder that is defined as the partial or complete inab...
BACKGROUND: The use of machine learning (ML) algorithms to study suicidality has recently been recom...
The accurate identification and prediction of high-cost Chronic obstructive pulmonary disease (COPD)...
While machine learning approaches can enhance prediction ability, little is known about their abilit...
BACKGROUND: The paper introduces a deep learning-based approach for real-time detection and insights...
The continuous motorization of traffic has led to a sustained increase in the global number of road ...
Early warning systems (EWS) have been proposed as a measure for controlling and preventing dengue fe...
BACKGROUND: Tools used to appraise the credibility of health information are time-consuming to apply...
This study developed a support vector machine (SVM) algorithm-based prediction model with consideri...
Systematic, structured and longitudinal collection of realtime Big Patient Data and the analysis of ...