Latest AI and machine learning research in public health & policy for healthcare professionals.
Free-text reports in electronic health records (EHRs) contain medically significant information - signs, symptoms, findings, diagnoses - recorded by clinicians during patient encounters. These reports contain rich clinical information which can be leveraged for surveillance of disease and occurrence of adverse events. In order to gain meaningful knowledge from these text reports to support surveil...
Social media are important platforms for risk communication during public health crises. Effective dissemination of accurate, relevant, and up-to-date health information is important for the public to raise awareness and develop risk management strategies. This study investigates Zika virus-related information circulated on Twitter, identifying the patterns of dissemination of popular tweets and t...
Historical maps are unique sources of retrospective geographical information. Recently, several map archives containing map series covering large spat...
BACKGROUND: Millions of people worldwide are exposed to deadly infectious diseases on a regular basis. Breaking news of the Zika outbreak for instance...
Interpersonal firearm violence is a leading cause of death and injuries in the United States. Identifying community characteristics associated with fi...
This review addresses the structure-function properties of hypolipidemic peptides. The cholesterol-lowering peptide (lactostatin: IIAEK) operates via ...
We address the assignment of ICD-10 codes for causes of death by analyzing free-text descriptions in death certificates, together with the associated ...
Many industry leaders and academics from the field of machine ethics would have us believe that the inevitability of robots coming to have a larger ro...
Rich sources of obesity-related data arising from sensors, smartphone apps, electronic medical health records and insurance data can bring new insight...
Worldwide interest in artificial intelligence (AI) applications, including imaging, is high and growing rapidly, fueled by availability of large datas...
Early prediction of seasonal epidemics such as influenza may reduce their impact in daily lives. Nowadays, the web can be used for surveillance of dis...
Prevention and diagnosis of NAFLD is an ongoing area of interest in the healthcare community. Screening is complicated by the fact that the accuracy o...
Essential hypertension (EH) has become a major chronic disease around the world. To build a risk-predicting model for EH can help to interpose people'...
Prevention and early intervention are the most effective ways of avoiding or minimizing psychological, physical, and financial suffering from cancer. ...
BACKGROUND: Although the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation has been recommended for accurate estimates of glomerula...
Community-acquired pneumonia and otitis media are caused by several bacterial species, including Streptococcus pneumoniae, Haemophilus influenzae, and...
INTRODUCTION: The implementation of the Hib conjugate vaccine in the United Kingdom in 1992 resulted in a rapid decline in invasive Hib disease across...
Identification of the significant factors of traffic crashes has been a primary concern of the transportation safety research community for many years...
INTRODUCTION: To evaluate the pathological outcomes of Turkish men meeting the criteria for Active Surveillance (AS), who elected to undergo immediate...
Between 1 September and 15 November 2017, 48 A(H5N8) highly pathogenic avian influenza (HPAI) outbreaks in poultry holdings and 9 H5 HPAI wild bird ev...