Latest AI and machine learning research in public health & policy for healthcare professionals.
In health question answering (QA) system development, question topic identification is crucial to understand users' information needs and further facilitate answer extraction. This paper presented a machine-learning method to automatically identify topics of health related questions in Chinese asked by the general public. We collected 2000 questions from Chinese consumer health website, and charac...
Many men with low-risk prostate cancer (PCa) receive definitive treatment despite recommendations that have been informed by two large, randomized trials encouraging active surveillance (AS). We conducted a retrospective cohort study using the Optumâ„¢ Research Database (Eden Prairie, MN) of electronic health records and administrative claims data to assess AS use for patients tested with a 17-gene ...
OBJECTIVE: - Further refine the independent value of NT-proBNP, accounting for the impact of other test results, in predicting all-cause mortality for...
The digital revolution has contributed to very large data sets (ie, big data) relevant for public health. The two major data sources are electronic he...
Among social media websites, Reddit has emerged as a widely used online message board for focused mental health topics including depression, addiction...
To prevent deployment-related disorders, Chaos Driven Situations Management Retrieval System (CHARLY), a computer-aided training platform with a biofe...
PURPOSE: Walking for health is recommended by health agencies, partly based on epidemiological studies of self-reported behaviors. Accelerometers are ...
OBJECTIVE: Many scattered resources of knowledge are available to use for chemical accident prevention purposes. The common approach to management pro...
Pathogen distribution models that predict spatial variation in disease occurrence require data from a large number of geographic locations to generate...
Electronic Healthcare Records (EHRs) have the potential to improve healthcare quality and to decrease costs by providing quality metrics, discovering ...
The objective of this study was to evaluate the efficacy and safety of intra-arterial thrombolysis in treating acute cerebral infarction and further d...
Networks are well suited to display and analyze complex systems that consist of numerous and interlinked elements. This study aimed at: (1) generating...
Epidemiological studies are necessary to take public health decisions. Their relevance depends on the quality of data. Doctors in continuous care coll...
Depression in adolescence is associated with significant suicidality. Therefore, it is important to detect the risk for depression and provide timely ...
In recent years, it is quite important to develop a customized system which can enhance physical fitness and health for people. And the system reliabi...
Falling is a serious problem in an aged society such that assessment of the risk of falls for individuals is imperative for the research and practice ...
Epidemic outbreaks of avian influenza (AI) virus H5N1 have been frequently reported in Egypt during the last nine years. Here we investigate the invol...