AIMC Topic: Communicable Diseases
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Ontology based mining of pathogen-disease associations from literature.
Journal of biomedical semantics
Sep 18, 2019
BACKGROUND: Infectious diseases claim millions of lives especially in the developing countries each year. Identification of causative pathogens accurately and rapidly plays a key role in the success of treatment. To support infectious disease researc...
Machine learning for clinical decision support in infectious diseases: a narrative review of current applications.
Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases
Sep 17, 2019
BACKGROUND: Machine learning (ML) is a growing field in medicine. This narrative review describes the current body of literature on ML for clinical decision support in infectious diseases (ID).
Artificial intelligence to support clinical decision-making processes.
EBioMedicine
Jul 11, 2019
Artificial Intelligence for infectious disease Big Data Analytics.
Infection, disease & health
Nov 2, 2018
BACKGROUND: Since the beginning of the 21st century, the amount of data obtained from public health surveillance has increased dramatically due to the advancement of information and communications technology and the data collection systems now in pla...
EAPB: entropy-aware path-based metric for ontology quality.
Journal of biomedical semantics
Aug 10, 2018
BACKGROUND: Entropy has become increasingly popular in computer science and information theory because it can be used to measure the predictability and redundancy of knowledge bases, especially ontologies. However, current entropy applications that e...
Predicting Infectious Disease Using Deep Learning and Big Data.
International journal of environmental research and public health
Jul 27, 2018
Infectious disease occurs when a person is infected by a pathogen from another person or an animal. It is a problem that causes harm at both individual and macro scales. The Korea Center for Disease Control (KCDC) operates a surveillance system to mi...
Intelligent judgements over health risks in a spatial agent-based model.
International journal of health geographics
Mar 20, 2018
BACKGROUND: Millions of people worldwide are exposed to deadly infectious diseases on a regular basis. Breaking news of the Zika outbreak for instance, made it to the main media titles internationally. Perceiving disease risks motivate people to adap...
The utility of LASSO-based models for real time forecasts of endemic infectious diseases: A cross country comparison.
Journal of biomedical informatics
Feb 27, 2018
INTRODUCTION: Accurate and timely prediction for endemic infectious diseases is vital for public health agencies to plan and carry out any control methods at an early stage of disease outbreaks. Climatic variables has been identified as important pre...
Machine Learning
Algorithms
Wavelet Analysis
Forecasting
Communicable Disease Control
Humans
Dengue
Disease Outbreaks
Infectious Disease Medicine
Thailand
Hand, Foot and Mouth Disease
Incidence
Chickenpox
Malaria
Communicable Diseases
Models, Statistical
Japan
Reproducibility of Results
Taiwan
Climate
Public Health
Singapore
Machine learning for the meta-analyses of microbial pathogens' volatile signatures.
Scientific reports
Feb 20, 2018
Non-invasive and fast diagnostic tools based on volatolomics hold great promise in the control of infectious diseases. However, the tools to identify microbial volatile organic compounds (VOCs) discriminating between human pathogens are still missing...
Online cross-validation-based ensemble learning.
Statistics in medicine
May 4, 2017
Online estimators update a current estimate with a new incoming batch of data without having to revisit past data thereby providing streaming estimates that are scalable to big data. We develop flexible, ensemble-based online estimators of an infinit...
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