Latest AI and machine learning research in public health & policy for healthcare professionals.
BACKGROUND: Rapid diagnostic tests (RDTs) are being widely used to manage COVID-19 pandemic. However...
Intelligent video surveillance based on artificial intelligence, image processing, and other advance...
Artificial intelligence (AI) has experienced explosive growth in oncology and related specialties in...
BACKGROUND: As opioid prescriptions have risen, there has also been an increase in opioid use disord...
BACKGROUND: Air pollution epidemiology has primarily relied on measurements from fixed outdoor air q...
Malaria, caused by Plasmodium parasites, is a major global health challenge. Whole genome sequencing...
River floods are listed among the natural disasters that can directly influence different aspects of...
Having started since late 2019, COVID-19 has spread through far many nations around the globe. Not b...
The analysis of registry data has important implications for cancer monitoring, control, and treatme...
OBJECTIVE: The aim of the study was to assess the main epidemiological characteristics of AML (morbi...
Nutritional epidemiological studies show a triple burden of malnutrition with disparate prevalence a...
Gait identification based on Deep Learning (DL) techniques has recently emerged as biometric technol...
The heading and flowering stages are crucial for wheat growth and should be used for fusarium head b...
In recent years, machine learning methods have been rapidly adopted in the medical domain. However, ...
The outbreak of coronavirus disease 2019 (COVID-19) has caused massive infections and large death to...
Few studies classified and predicted hypertension using blood pressure (BP)-related determinants in ...
Pandemic diseases such as plague have produced a vast amount of literature providing information abo...
Forest fire prevention is very important for the protection of the ecological environment, which req...
Growing evidence suggests that sustained concentrated urine contributes to chronic metabolic and kid...
Unsupervised machine learning methods are important analytical tools that can facilitate the analysi...
Advancements in convolutional neural network (CNN) have resulted in remarkable success in various co...