Public Health & Policy

Using machine learning to identify patterns of lifetime health problems in decedents with autism spectrum disorder.

Very little is known about the health problems experienced by individuals with autism spectrum disor...

Deep generative learning for automated EHR diagnosis of traditional Chinese medicine.

BACKGROUND: Computer-aided medical decision-making (CAMDM) is the method to utilize massive EMR data...

Solution to Detect, Classify, and Report Illicit Online Marketing and Sales of Controlled Substances via Twitter: Using Machine Learning and Web Forensics to Combat Digital Opioid Access.

BACKGROUND: On December 6 and 7, 2017, the US Department of Health and Human Services (HHS) hosted i...

Emerging trends in geospatial artificial intelligence (geoAI): potential applications for environmental epidemiology.

Geospatial artificial intelligence (geoAI) is an emerging scientific discipline that combines innova...

Electronic Surveillance For Catheter-Associated Urinary Tract Infection Using Natural Language Processing.

Catheter-associated urinary tract infection (CAUTI) is a common and costly healthcare-associated inf...

Detecting Opioid-Related Aberrant Behavior using Natural Language Processing.

The United States is in the midst of a prescription opioid epidemic, with the number of yearly opioi...

Understanding the Patterns of Health Information Dissemination on Social Media during the Zika Outbreak.

Social media are important platforms for risk communication during public health crises. Effective d...

Detection of Suicidality in Adolescents with Autism Spectrum Disorders: Developing a Natural Language Processing Approach for Use in Electronic Health Records.

Over 15% of young people with autism spectrum disorders (ASD) will contemplate or attempt suicide du...

Detecting Evidence of Intra-abdominal Surgical Site Infections from Radiology Reports Using Natural Language Processing.

Free-text reports in electronic health records (EHRs) contain medically significant information - si...

Map Archive Mining: Visual-Analytical Approaches to Explore Large Historical Map Collections.

Historical maps are unique sources of retrospective geographical information. Recently, several map ...

Intelligent judgements over health risks in a spatial agent-based model.

BACKGROUND: Millions of people worldwide are exposed to deadly infectious diseases on a regular basi...

Predictors of firearm violence in urban communities: A machine-learning approach.

Interpersonal firearm violence is a leading cause of death and injuries in the United States. Identi...

Structure-function properties of hypolipidemic peptides.

This review addresses the structure-function properties of hypolipidemic peptides. The cholesterol-l...

Deep neural models for ICD-10 coding of death certificates and autopsy reports in free-text.

We address the assignment of ICD-10 codes for causes of death by analyzing free-text descriptions in...

Automated video surveillance and machine learning: Leveraging existing infrastructure for cardiac arrest detection and emergency response activation.

Critiquing the Reasons for Making Artificial Moral Agents.

Many industry leaders and academics from the field of machine ethics would have us believe that the ...

A review of machine learning in obesity.

Rich sources of obesity-related data arising from sensors, smartphone apps, electronic medical healt...

Artificial Intelligence and Machine Learning in Radiology: Opportunities, Challenges, Pitfalls, and Criteria for Success.

Worldwide interest in artificial intelligence (AI) applications, including imaging, is high and grow...

A Systematic Machine Learning Based Approach for the Diagnosis of Non-Alcoholic Fatty Liver Disease Risk and Progression.

Prevention and diagnosis of NAFLD is an ongoing area of interest in the healthcare community. Screen...

A review of influenza detection and prediction through social networking sites.

Early prediction of seasonal epidemics such as influenza may reduce their impact in daily lives. Now...

Risk-Predicting Model for Incident of Essential Hypertension Based on Environmental and Genetic Factors with Support Vector Machine.

Essential hypertension (EH) has become a major chronic disease around the world. To build a risk-pre...