Latest AI and machine learning research in public health & policy for healthcare professionals.
BACKGROUND: Brucellosis is known as the major zoonotic disease. We aimed to compare the performance ...
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 ...
Artificial intelligence (AI) has the potential to impact almost every aspect of health care, from de...
We aimed to estimate metabolic bone profile in a large cohort of healthy, adult Indian population to...
In this study, we aimed to demonstrate the feasibility of the application of biocompatible liquid ty...
OBJECTIVE: Pre-treatment with either fentanyl or midazolam has previously been used to prevent etomi...
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...
Digital health is uniquely positioned to transform health care. This viewpoint explores the enormous...
BACKGROUND: The use of machine learning (ML) algorithms to study suicidality has recently been recom...
With the growing demand for an intelligent system to prevent abnormal events, many methods have been...
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 ...