Latest AI and machine learning research in public health & policy for healthcare professionals.
Twitter, as a social media platform, has become an increasingly useful data source for health survei...
Recent progress in biosensor technology and wearable devices has created a formidable opportunity fo...
We built a natural language processing (NLP) method to automatically extract clinical findings in ra...
OBJECTIVE: Patient notes in electronic health records (EHRs) may contain critical information for me...
HIV testing is the foundation for consolidated HIV treatment and prevention. In this study, we aim t...
OBJECTIVE: - Further refine the independent value of NT-proBNP, accounting for the impact of other t...
Many men with low-risk prostate cancer (PCa) receive definitive treatment despite recommendations th...
Patient falls are a common safety event type that impairs the healthcare quality. Strategies includi...
In health question answering (QA) system development, question topic identification is crucial to un...
Chronic kidney disease (CKD) is a public health priority worldwide; however, its prevalence and inci...
BACKGROUND: The diagnosis - and hence definitions - of healthcare-associated infections (HAIs) rely ...
The digital revolution has contributed to very large data sets (ie, big data) relevant for public he...
Among social media websites, Reddit has emerged as a widely used online message board for focused me...
Elderly people are at risk of tripping because of their narrow range of articular motion. To avoid t...
To prevent deployment-related disorders, Chaos Driven Situations Management Retrieval System (CHARLY...
PURPOSE: Walking for health is recommended by health agencies, partly based on epidemiological studi...
AIM: To report a series of 1,000 patients treated by a single surgeon using robotic-assisted laparos...
OBJECTIVE: Many scattered resources of knowledge are available to use for chemical accident preventi...
Electronic Healthcare Records (EHRs) have the potential to improve healthcare quality and to decreas...
Pathogen distribution models that predict spatial variation in disease occurrence require data from ...
The objective of this study was to evaluate the efficacy and safety of intra-arterial thrombolysis i...