AIMC Topic: Public Health

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Tuberculosis diagnosis support analysis for precarious health information systems.

Computer methods and programs in biomedicine Jan 11, 2018
BACKGROUND AND OBJECTIVE: Pulmonary tuberculosis is a world emergency for the World Health Organization. Techniques and new diagnosis tools are important to battle this bacterial infection. There have been many advances in all those fields, but in de...
Middle Aged Public Health Diagnosis, Computer-Assisted Adult Sensitivity and Specificity Male Ill-Housed Persons Diabetes Complications Health Information Systems Acquired Immunodeficiency Syndrome Tuberculosis, Pulmonary Colombia Humans Neural Networks, Computer Female Young Adult
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Big Data in Public Health: Terminology, Machine Learning, and Privacy.

Annual review of public health Dec 20, 2017
The digital world is generating data at a staggering and still increasing rate. While these "big data" have unlocked novel opportunities to understand public health, they hold still greater potential for research and practice. This review explores se...
Causality Population Surveillance Confidentiality Research Humans Terminology as Topic Machine Learning Public Health Big Data
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Development of artificial intelligence approach to forecasting oyster norovirus outbreaks along Gulf of Mexico coast.

Environment international Dec 20, 2017
This paper presents an artificial intelligence-based model, called ANN-2Day model, for forecasting, managing and ultimately eliminating the growing risk of oyster norovirus outbreaks. The ANN-2Day model was developed using Artificial Neural Network (...
Temperature Animals Public Health Humans Neural Networks, Computer Forecasting Gulf of Mexico Norovirus Ostreidae Gastroenteritis Caliciviridae Infections Disease Outbreaks Risk
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Developing a dengue forecast model using machine learning: A case study in China.

PLoS neglected tropical diseases Oct 16, 2017
BACKGROUND: In China, dengue remains an important public health issue with expanded areas and increased incidence recently. Accurate and timely forecasts of dengue incidence in China are still lacking. We aimed to use the state-of-the-art machine lea...
Linear Models Climate Dengue China Incidence Predictive Value of Tests Machine Learning Algorithms Forecasting Temperature Public Health Disease Outbreaks Humans
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Enhancing Seasonal Influenza Surveillance: Topic Analysis of Widely Used Medicinal Drugs Using Twitter Data.

Journal of medical Internet research Sep 12, 2017
BACKGROUND: Uptake of medicinal drugs (preventive or treatment) is among the approaches used to control disease outbreaks, and therefore, it is of vital importance to be aware of the counts or frequencies of most commonly used drugs and trending topi...
Influenza, Human Drug Therapy Disease Outbreaks Social Media Humans Machine Learning Public Health
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Lightweight predicate extraction for patient-level cancer information and ontology development.

BMC medical informatics and decision making Jul 5, 2017
BACKGROUND: Knowledge engineering for ontological knowledgebases is resource and time intensive. To alleviate these issues, especially for novices, automated tools from the natural language domain can assist in the development process of ontologies. ...
Natural Language Processing Biological Ontologies MedlinePlus Humans Neoplasms Public Health
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The effects of natural language processing on cross-institutional portability of influenza case detection for disease surveillance.

Applied clinical informatics May 31, 2017
OBJECTIVES: This study evaluates the accuracy and portability of a natural language processing (NLP) tool for extracting clinical findings of influenza from clinical notes across two large healthcare systems. Effectiveness is evaluated on how well NL...
Humans Electronic Health Records Public Health Natural Language Processing Influenza, Human Academic Medical Centers Medical Informatics Epidemiological Monitoring
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Machine-Learning Algorithms to Code Public Health Spending Accounts.

Public health reports (Washington, D.C. : 1974) Mar 31, 2017
OBJECTIVES: Government public health expenditure data sets require time- and labor-intensive manipulation to summarize results that public health policy makers can use. Our objective was to compare the performances of machine-learning algorithms with...
Health Expenditures Machine Learning Algorithms Public Health Humans
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Ontology-based automatic identification of public health-related Turkish tweets.

Computers in biology and medicine Feb 4, 2017
Social media analysis, such as the analysis of tweets, is a promising research topic for tracking public health concerns including epidemics. In this paper, we present an ontology-based approach to automatically identify public health-related Turkish...
Machine Learning Public Health Consumer Health Information Information Dissemination Social Media Biological Ontologies Natural Language Processing Information Seeking Behavior Turkey
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Deep Learning for Health Informatics.

IEEE journal of biomedical and health informatics Dec 29, 2016
With a massive influx of multimodality data, the role of data analytics in health informatics has grown rapidly in the last decade. This has also prompted increasing interests in the generation of analytical, data driven models based on machine learn...
Monitoring, Ambulatory Public Health Computational Biology Medical Informatics Humans Machine Learning
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