AIMC Topic: Public Health
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Recent Advances in Using Natural Language Processing to Address Public Health Research Questions Using Social Media and ConsumerGenerated Data.
Yearbook of medical informatics
Aug 16, 2019
OBJECTIVE: We present a narrative review of recent work on the utilisation of Natural Language Processing (NLP) for the analysis of social media (including online health communities) specifically for public health applications.
Health Data in Dentistry: An Attempt to Master the Digital Challenge.
Public health genomics
Aug 7, 2019
BACKGROUND: Biomedical research has recently moved through three stages in digital healthcare: (1) data collection; (2) data sharing; and (3) data analytics. With the explosion of stored health data (HD), dental medicine is edging into its fourth sta...
Identifying Key Target Audiences for Public Health Campaigns: Leveraging Machine Learning in the Case of Hookah Tobacco Smoking.
Journal of medical Internet research
Jul 8, 2019
BACKGROUND: Hookah tobacco smoking (HTS) is a particularly important issue for public health professionals to address owing to its prevalence and deleterious health effects. Social media sites can be a valuable tool for public health officials to con...
Complementing the power of deep learning with statistical model fusion: Probabilistic forecasting of influenza in Dallas County, Texas, USA.
Epidemics
Jun 8, 2019
Influenza is one of the main causes of death, not only in the USA but worldwide. Its significant economic and public health impacts necessitate development of accurate and efficient algorithms for forecasting of any upcoming influenza outbreaks. Most...
A population health perspective on artificial intelligence.
Healthcare management forum
May 19, 2019
The burgeoning field of Artificial Intelligence (AI) has the potential to profoundly impact the public's health. Yet, to make the most of this opportunity, decision-makers must understand AI concepts. In this article, we describe approaches and field...
Hypothesis: Is "Terminator Syndrome" a Barrier to Democratizing Artificial Intelligence and Public Engagement in Digital Health?
Omics : a journal of integrative biology
May 14, 2019
Machine learning to refine decision making within a syndromic surveillance service.
BMC public health
May 14, 2019
BACKGROUND: Worldwide, syndromic surveillance is increasingly used for improved and timely situational awareness and early identification of public health threats. Syndromic data streams are fed into detection algorithms, which produce statistical al...
The Big Picture on the "AI Turn" for Digital Health: The Internet of Things and Cyber-Physical Systems.
Omics : a journal of integrative biology
May 8, 2019
This article offers an analysis of the ways in which digital health innovations are being coproduced by mainstreaming of artificial intelligence (AI), the Internet of Things (IoT), and cyber-physical systems (CPS) in health care. CPS blurs the bounda...
An overview of GeoAI applications in health and healthcare.
International journal of health geographics
May 2, 2019
The moulding together of artificial intelligence (AI) and the geographic/geographic information systems (GIS) dimension creates GeoAI. There is an emerging role for GeoAI in health and healthcare, as location is an integral part of both population an...
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