Framework for Infectious Disease Analysis: A comprehensive and integrative multi-modeling approach to disease prediction and management.
The impact of infectious disease on human populations is a function of many factors including environmental conditions, vector dynamics, transmission mechanics, social and cultural behaviors, and public policy. A comprehensive framework for disease management must fully connect the complete disease...
| Publicado en: | Health Informatics Journal Vol. 25; no. 4; pp. 1170 - 1188 |
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| Autores principales: | , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Sage Publications Inc.
Dec2019
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=138883030&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 138883030 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 14604582 EJK jtl: Health Informatics Journal issn: 14604582 maglogo: Y pubinfo: dt: Dec2019 vid: 25 iid: 4 pid: 344 pub: Sage Publications Inc. place: Thousand Oaks, California artinfo: ui: 138883030 138883030 138883030 10.1177/1460458217747112 138883030 ppf: 1170 ppct: 18 formats: tig: atl: Framework for Infectious Disease Analysis: A comprehensive and integrative multi-modeling approach to disease prediction and management. aug: au: Erraguntla, Madhav Zapletal, Josef Lawley, Mark affil: Knowledge Based Systems, Inc., USA sug: subj: Conceptual Framework Communicable Diseases Risk Assessment Disease Management Models, Theoretical Human Algorithms Disease Surveillance Social Media Disease Outbreaks Data Mining Data Analytics Natural Language Processing Machine Learning Regression Decision Support Systems, Clinical Descriptive Statistics Linear Regression Confidence Intervals Funding Source ab: The impact of infectious disease on human populations is a function of many factors including environmental conditions, vector dynamics, transmission mechanics, social and cultural behaviors, and public policy. A comprehensive framework for disease management must fully connect the complete disease lifecycle, including emergence from reservoir populations, zoonotic vector transmission, and impact on human societies. The Framework for Infectious Disease Analysis is a software environment and conceptual architecture for data integration, situational awareness, visualization, prediction, and intervention assessment. Framework for Infectious Disease Analysis automatically collects biosurveillance data using natural language processing, integrates structured and unstructured data from multiple sources, applies advanced machine learning, and uses multi-modeling for analyzing disease dynamics and testing interventions in complex, heterogeneous populations. In the illustrative case studies, natural language processing from social media, news feeds, and websites was used for information extraction, biosurveillance, and situation awareness. Classification machine learning algorithms (support vector machines, random forests, and boosting) were used for disease predictions. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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