Literature DB >> 20558320

Chronic disease modeling and simulation software.

Jacob Barhak1, Deanna J M Isaman, Wen Ye, Donghee Lee.   

Abstract

Computers allow describing the progress of a disease using computerized models. These models allow aggregating expert and clinical information to allow researchers and decision makers to forecast disease progression. To make this forecast reliable, good models and therefore good modeling tools are required. This paper will describe a new computer tool designed for chronic disease modeling. The modeling capabilities of this tool were used to model the Michigan model for diabetes. The modeling approach and its advantages such as simplicity, availability, and transparency are discussed.

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Year:  2010        PMID: 20558320      PMCID: PMC2934868          DOI: 10.1016/j.jbi.2010.06.003

Source DB:  PubMed          Journal:  J Biomed Inform        ISSN: 1532-0464            Impact factor:   6.317


  20 in total

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Journal:  Stat Med       Date:  2006-03-30       Impact factor: 2.373

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3.  A computer simulation model of diabetes progression, quality of life, and cost.

Authors:  Honghong Zhou; Deanna J M Isaman; Shari Messinger; Morton B Brown; Ronald Klein; Michael Brandle; William H Herman
Journal:  Diabetes Care       Date:  2005-12       Impact factor: 19.112

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Journal:  Control Clin Trials       Date:  1997-06

5.  Development and validation of the Economic Assessment of Glycemic Control and Long-Term Effects of diabetes (EAGLE) model.

Authors:  Elvira Mueller; Stefanie Maxion-Bergemann; Dmitry Gultyaev; Stefan Walzer; Nick Freemantle; Chantal Mathieu; Bjorn Bolinder; Robert Gerber; Marion Kvasz; Rito Bergemann
Journal:  Diabetes Technol Ther       Date:  2006-04       Impact factor: 6.118

6.  The global diabetes model: user friendly version 3.0.

Authors:  J B Brown; A Russell; W Chan; K Pedula; M Aickin
Journal:  Diabetes Res Clin Pract       Date:  2000-11       Impact factor: 5.602

7.  Indirect estimation of a discrete-state discrete-time model using secondary data analysis of regression data.

Authors:  Deanna J M Isaman; Jacob Barhak; Wen Ye
Journal:  Stat Med       Date:  2009-07-20       Impact factor: 2.373

8.  Intensive blood-glucose control with sulphonylureas or insulin compared with conventional treatment and risk of complications in patients with type 2 diabetes (UKPDS 33). UK Prospective Diabetes Study (UKPDS) Group.

Authors: 
Journal:  Lancet       Date:  1998-09-12       Impact factor: 79.321

9.  Computer modeling of diabetes and its complications: a report on the Fourth Mount Hood Challenge Meeting.

Authors: 
Journal:  Diabetes Care       Date:  2007-06       Impact factor: 19.112

10.  Detecting influenza epidemics using search engine query data.

Authors:  Jeremy Ginsberg; Matthew H Mohebbi; Rajan S Patel; Lynnette Brammer; Mark S Smolinski; Larry Brilliant
Journal:  Nature       Date:  2009-02-19       Impact factor: 49.962

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  9 in total

Review 1.  Agent-based modeling of noncommunicable diseases: a systematic review.

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Journal:  Am J Public Health       Date:  2015-01-20       Impact factor: 9.308

2.  The Michigan Model for Coronary Heart Disease in Type 2 Diabetes: Development and Validation.

Authors:  Wen Ye; Michael Brandle; Morton B Brown; William H Herman
Journal:  Diabetes Technol Ther       Date:  2015-07-29       Impact factor: 6.118

3.  Use of Secondary Data to Estimate Instantaneous Model Parameters of Diabetic Heart Disease: Lemonade Method.

Authors:  Wen Ye; Deanna Jm Isaman; Jacob Barhak
Journal:  Inf Fusion       Date:  2010-09-06       Impact factor: 12.975

4.  Cost-Effectiveness of a Diabetes Self-Management Education and Support Intervention Led by Community Health Workers and Peer Leaders: Projections From the Racial and Ethnic Approaches to Community Health Detroit Trial.

Authors:  Wen Ye; Shihchen Kuo; Edith C Kieffer; Gretchen Piatt; Brandy Sinco; Gloria Palmisano; Michael S Spencer; William H Herman
Journal:  Diabetes Care       Date:  2021-05-06       Impact factor: 19.112

5.  Importance of Geospatial Heterogeneity in Chronic Disease Burden for Policy Planning in an Urban Setting Using a Case Study of Singapore.

Authors:  Ken Wei Tan; Joel R Koo; Jue Tao Lim; Alex R Cook; Borame L Dickens
Journal:  Int J Environ Res Public Health       Date:  2021-04-21       Impact factor: 3.390

6.  Clinical trial simulation methods for estimating the impact of DPP-4 inhibitors on cardiovascular disease.

Authors:  Charles Andy Schuetz; Siew Hwa Ong; Matthias Blüher
Journal:  Clinicoecon Outcomes Res       Date:  2015-06-05

7.  Systems Epidemiology: What's in a Name?

Authors:  O Dammann; P Gray; P Gressens; O Wolkenhauer; A Leviton
Journal:  Online J Public Health Inform       Date:  2014-12-15

8.  Novel Risk Engine for Diabetes Progression and Mortality in USA: Building, Relating, Assessing, and Validating Outcomes (BRAVO).

Authors:  Hui Shao; Vivian Fonseca; Charles Stoecker; Shuqian Liu; Lizheng Shi
Journal:  Pharmacoeconomics       Date:  2018-09       Impact factor: 4.558

9.  The Brighton declaration: the value of non-communicable disease modelling in population health sciences.

Authors:  Laura Webber; Oliver T Mytton; Adam D M Briggs; James Woodcock; Peter Scarborough; Klim McPherson; Simon Capewell
Journal:  Eur J Epidemiol       Date:  2014-12-13       Impact factor: 8.082

  9 in total

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