Latest AI and machine learning research in public health & policy for healthcare professionals.
There is increasing interest and use of artificial Intelligence algorithms and methods in biomedical research and practice, particularly as the technology has made significant advances in the past decade and become more accessible to more disciplines. This editorial briefly reviews this technology and its potential for injury prevention research and practice, proposing ways that it can be used to ...
Accurately predicting the prognosis of Gastrointestinal stromal tumor (GIST) patients is an important task. The goal of this study was to create and assess models for GIST patients' survival patients using the Surveillance, Epidemiology, and End Results Program (SEER) database based on the three different deep learning models. Four thousand five hundred thirty-eight patients were enrolled in this ...
Significant advancements in machine learning algorithms have the potential to aid in the early detection and prevention of cancer, a devastating disea...
Physical exercise affects many facets of life, including mental health, social interaction, physical fitness, and illness prevention, among many other...
Artificial intelligence (AI) is increasingly used for diagnostic purposes in cancer care. Prostate cancer is one of the most prevalent cancers affecti...
Accurately predicting population mortality rates is crucial for effective retirement insurance and economic policy formulation. Recent advancements in...
Violence has immediate and long-term repercussions for the health of individuals and communities. Recent increases in the understanding of public heal...
BACKGROUND: Health care-associated infection (HAI) surveillance is vital for safety in health care settings. It helps identify infection risk factors,...
This study presents a surveillance system developed for early detection of forest fires. Deep learning is utilized for aerial detection of fires using...
Source attribution has traditionally involved combining epidemiological data with different pathogen characterisation methods, including 7-gene multi ...
Chronic kidney disease (CKD) is a major cause of morbidity and mortality worldwide, but few studies are available on CKD in Cote d'Ivoire. We aimed to...
Artificial Intelligence (AI) is a revolutionary technology that has the potential to develop into a widely implemented system that could reduce the de...
In 2022, Mexico registered an increase in dengue cases compared to the previous year. On the other hand, the amount of precipitation reported annually...
This paper presents the most current and innovative solutions applying modern digital image processing methods for the purpose of skin cancer diagnost...
The rise of artificial intelligence (AI) has revolutionized various scientific fields, particularly in medicine, where it has enabled the modeling of ...
Cancer has become an important public health problem affecting the health of Chinese residents, as well as residents all over the world. With the impr...
BACKGROUND: Infectious diarrhea remains a major public health problem worldwide. This study used stacking ensemble to developed a predictive model for...
The influence of Medicaid or being uninsured is prevailingly thought to negatively impact a patient's socioeconomic and postoperative course, yet litt...
Components of artificial intelligence (AI) for analysing social big data, such as natural language processing (NLP) algorithms, have improved the time...