AIMC Topic: Public Health
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Artificial Intelligence-Empowered Mobilization of Assessments in COVID-19-like Pandemics: A Case Study for Early Flattening of the Curve.
International journal of environmental research and public health
May 14, 2020
The global outbreak of the Coronavirus Disease 2019 (COVID-19) pandemic has uncovered the fragility of healthcare and public health preparedness and planning against epidemics/pandemics. In addition to the medical practice for treatment and immunizat...
Current Developments in Digital Quantitative Volume Estimation for the Optimisation of Dietary Assessment.
Nutrients
Apr 22, 2020
Obesity is a global health problem with wide-reaching economic and social implications. Nutrition surveillance systems are essential to understanding and addressing poor dietary practices. However, diets are incredibly diverse across populations and ...
Artificial intelligence plays an important role in containing public health emergencies.
Infection control and hospital epidemiology
Apr 2, 2020
Soft Clustering for Enhancing the Diagnosis of Chronic Diseases over Machine Learning Algorithms.
Journal of healthcare engineering
Mar 9, 2020
Chronic diseases represent a serious threat to public health across the world. It is estimated at about 60% of all deaths worldwide and approximately 43% of the global burden of chronic diseases. Thus, the analysis of the healthcare data has helped h...
Four equity considerations for the use of artificial intelligence in public health.
Bulletin of the World Health Organization
Feb 25, 2020
Spatial Lifecourse Epidemiology Reporting Standards (ISLE-ReSt) statement.
Health & place
Dec 4, 2019
Spatial lifecourse epidemiology is an interdisciplinary field that utilizes advanced spatial, location-based, and artificial intelligence technologies to investigate the long-term effects of environmental, behavioural, psychosocial, and biological fa...
Attention-based recurrent neural network for influenza epidemic prediction.
BMC bioinformatics
Nov 25, 2019
BACKGROUND: Influenza is an infectious respiratory disease that can cause serious public health hazard. Due to its huge threat to the society, precise real-time forecasting of influenza outbreaks is of great value to our public.
[E-health and "Cancer outside the hospital walls", Big Data and artificial intelligence].
Bulletin du cancer
Sep 19, 2019
To heal otherwise in oncology has become an imperative of Public Health and an economic imperative in France. Patients can therefore receive live most of their care outside of hospital with more ambulatory care. This ambulatory shift will benefit fro...
A dynamic neural network model for predicting risk of Zika in real time.
BMC medicine
Sep 2, 2019
BACKGROUND: In 2015, the Zika virus spread from Brazil throughout the Americas, posing an unprecedented challenge to the public health community. During the epidemic, international public health officials lacked reliable predictions of the outbreak's...
Public Health and Epidemiology Informatics: Can Artificial Intelligence Help Future Global Challenges? An Overview of Antimicrobial Resistance and Impact of Climate Change in Disease Epidemiology.
Yearbook of medical informatics
Aug 16, 2019
OBJECTIVES: To provide an oveiview of the current application of artificial intelligence (AI) in the field of public health and epidemiology, with a special focus on antimicrobial resistance and the impact of climate change in disease epidemiology. B...
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