Latest AI and machine learning research in public health & policy for healthcare professionals.
In recent years, the use of machine learning to predict stock market indices has emerged as a vital concern in the FinTech domain. However, the inherent nature of point estimation in traditional supervised machine learning models leads to an almost negligible probability of achieving perfect predictions, significantly constraining the applicability of machine learning prediction models. This study...
The surge in computer-based health surveillance applications, leveraging technologies like big data analytics, artificial intelligence, and the Internet of Things, aims to provide personalized and streamlined medical services. These applications encompass diverse functionalities, from portable health trackers to remote patient monitoring systems, covering aspects such as heart rate tracking, task ...
This paper presents a comprehensive analysis of the scholarly footprint of ChatGPT, an AI language model, using bibliometric and scientometric methods...
Technology has greatly influenced and radically changed human life, from communication to creativity and from productivity to entertainment. The autho...
The integration of artificial intelligence technologies, such as large language models (LLMs), in health care holds potential for improved efficiency ...
The COVID-19 outbreak has triggered a global health and economic crisis, necessitating widespread testing to control viral spread amidst rising cases ...
A sizable percentage of the population in India still does not have easy access to dental facilities. Therefore, it is of interest to document the rol...
In 2007, an outbreak of African swine fever (ASF), a deadly disease of domestic swine and wild boar caused by the African swine fever virus (ASFV), oc...
BACKGROUND: The Centers for Medicare & Medicaid Services currently incentivizes hospitals to reduce postdischarge adverse events such as unplanned hos...
In recent years, there has been a rapid increase in the application of machine learning methods about predicting the incidence of dengue fever. Howeve...
In 2022, a global outbreak of Mpox (formerly monkeypox) occurred in various countries across Europe and America and rapidly spread to more than 100 co...
Free-text information represents a valuable resource for epidemiological surveillance. Its unstructured nature, however, presents significant challeng...
In order to prevent and control the increasing number of serious epidemics, the ability to predict the risk caused by emerging outbreaks is essential....
Hispanic and American Indian (AI) women experience lower breast cancer incidence than non-Hispanic White (NHW) women, but later-stage diagnoses and lo...
The increasing demand for healthcare-acquired infection (HAI) control practices and services has intensified the need to evaluate care quality. The Wo...
: This study evaluated the antimicrobial effect and cytotoxic potential of the natural extract against (), the causative agent of dental caries, whi...
Preterm birth (PTB) affects approximately 10% of births globally each year and is the most significant direct cause of neonatal death and of long-term...
BACKGROUND AND AIM: Rabies has been endemic in Bali since 2009, and cases has recently increased. Unfortunately, there is a lack of available vaccines...
Domestic and industrial wastewater treatment plants (WWTPs) are facing formidable challenges in effectively eliminating emerging pollutants and conven...
The use of medical data for machine learning, including unsupervised methods such as clustering, is often restricted by privacy regulations such as th...