AIMC Topic: Public Health Surveillance

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Automatic classification of free-text medical causes from death certificates for reactive mortality surveillance in France.

International journal of medical informatics Jul 6, 2019
BACKGROUND: Mortality surveillance is of fundamental importance to public health surveillance. The real-time recording of death certificates, thanks to Electronic Death Registration System (EDRS), provides valuable data for reactive mortality surveil...
Adult Male Support Vector Machine Humans Disease Epidemiological Monitoring Death Certificates Supervised Machine Learning France Classification Public Health Surveillance Cause of Death
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Deep Learning to Distinguish Recalled but Benign Mammography Images in Breast Cancer Screening.

Clinical cancer research : an official journal of the American Association for Cancer Research Oct 11, 2018
PURPOSE: False positives in digital mammography screening lead to high recall rates, resulting in unnecessary medical procedures to patients and health care costs. This study aimed to investigate the revolutionary deep learning methods to distinguish...
Mass Screening Early Detection of Cancer Public Health Surveillance ROC Curve Image Processing, Computer-Assisted Mammography Image Interpretation, Computer-Assisted Humans Retrospective Studies Female Reproducibility of Results Breast Neoplasms Deep Learning
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Immunologic non-inferiority and safety of the investigational pneumococcal non-typeable Haemophilus influenzae protein D-conjugate vaccine (PHiD-CV) 4-dose vial presentation compared to the licensed PHiD-CV 1-dose vial presentation in infants: A phase III randomized study.

Vaccine Dec 23, 2017
BACKGROUND: To support vaccination programs in developing countries, a 4-dose vial presentation of pneumococcal non-typeable Haemophilus influenzae protein D-conjugate vaccine (PHiD-CV) was developed. This study assessed immunologic non-inferiority a...
Immunization, Secondary Vaccination Antibodies, Bacterial Immunogenicity, Vaccine Public Health Surveillance Pneumococcal Infections Infant, Newborn Humans Pneumococcal Vaccines Serogroup Streptococcus pneumoniae Male Female Infant
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Knowledge graph prediction of unknown adverse drug reactions and validation in electronic health records.

Scientific reports Nov 27, 2017
Unknown adverse reactions to drugs available on the market present a significant health risk and limit accurate judgement of the cost/benefit trade-off for medications. Machine learning has the potential to predict unknown adverse reactions from curr...
Prognosis Electronic Health Records Reproducibility of Results Public Health Surveillance Drug-Related Side Effects and Adverse Reactions Knowledge Bases Machine Learning Algorithms Databases, Factual Humans
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Developing a Machine Learning System for Identification of Severe Hand, Foot, and Mouth Disease from Electronic Medical Record Data.

Scientific reports Nov 27, 2017
Children of severe hand, foot, and mouth disease (HFMD) often present with same clinical features as those of mild HFMD during the early stage, yet later deteriorate rapidly with a fulminant disease course. Our goal was to: (1) develop a machine lear...
ROC Curve Public Health Surveillance Hand, Foot and Mouth Disease China Child, Preschool Female Infant, Newborn Male Infant Comorbidity Biomarkers Severity of Illness Index Humans Retrospective Studies Machine Learning Electronic Health Records Algorithms
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Applying GIS and Machine Learning Methods to Twitter Data for Multiscale Surveillance of Influenza.

PloS one Jul 25, 2016
Traditional methods for monitoring influenza are haphazard and lack fine-grained details regarding the spatial and temporal dynamics of outbreaks. Twitter gives researchers and public health officials an opportunity to examine the spread of influenza...
Geography, Medical Humans Machine Learning Public Health Surveillance Disease Outbreaks Social Media Geographic Information Systems Influenza, Human United States
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Applications of machine learning in animal and veterinary public health surveillance.

Revue scientifique et technique (International Office of Epizootics) May 1, 2023
Machine learning (ML) is an approach to artificial intelligence characterised by the use of algorithms that improve their own performance at a given task (e.g. classification or prediction) based on data and without being explicitly and fully instruc...
Public Health Surveillance Zoonoses Sentinel Surveillance Artificial Intelligence Machine Learning Animals
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Machine Learning Can Unlock Insights Into Mortality.

American journal of public health Jul 1, 2021
Humans Mortality Machine Learning Decision Making, Computer-Assisted United States Insurance Claim Review Algorithms Public Health Surveillance Medical Records
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