Literature DB >> 16547830

Applications of artificial intelligence systems in the analysis of epidemiological data.

Andreas D Flouris1, Jack Duffy.   

Abstract

A brief review of the germane literature suggests that the use of artificial intelligence (AI) statistical algorithms in epidemiology has been limited. We discuss the advantages and disadvantages of using AI systems in large-scale sets of epidemiological data to extract inherent, formerly unidentified, and potentially valuable patterns that human-driven deductive models may miss.

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Year:  2006        PMID： 16547830     DOI： 10.1007/s10654-006-0005-y

Source DB:  PubMed          Journal:  Eur J Epidemiol        ISSN： 0393-2990            Impact factor:   8.082


  14 in total

1.  Classification methods for the identification of 'case' in epidemiological diagnosis of asthma.

Authors:  M Grassi; S Villani; A Marinoni
Journal:  Eur J Epidemiol       Date:  2001       Impact factor: 8.082

2.  Predicting breast cancer survivability: a comparison of three data mining methods.

Authors:  Dursun Delen; Glenn Walker; Amit Kadam
Journal:  Artif Intell Med       Date:  2005-06       Impact factor: 5.326

3.  Classification of drugs in absorption classes using the classification and regression trees (CART) methodology.

Authors:  E Deconinck; T Hancock; D Coomans; D L Massart; Y Vander Heyden
Journal:  J Pharm Biomed Anal       Date:  2005-09-01       Impact factor: 3.935

4.  Prediction of gastro-intestinal absorption using multivariate adaptive regression splines.

Authors:  E Deconinck; Q S Xu; R Put; D Coomans; D L Massart; Y Vander Heyden
Journal:  J Pharm Biomed Anal       Date:  2005-07-22       Impact factor: 3.935

5.  The effective use of a summary table and decision tree methodology to analyze very large healthcare datasets.

Authors:  David Sibbritt; Robert Gibberd
Journal:  Health Care Manag Sci       Date:  2004-08

6.  Fatigue in a community sample of twins.

Authors:  P F Sullivan; P Kovalenko; T P York; C A Prescott; K S Kendler
Journal:  Psychol Med       Date:  2003-02       Impact factor: 7.723

7.  Infection control and quality health care in the new millennium.

Authors:  Didier Pittet
Journal:  Am J Infect Control       Date:  2005-06       Impact factor: 2.918

8.  Novel statistical classification model of type 2 diabetes mellitus patients for tailor-made prevention using data mining algorithm.

Authors:  Koichi Miyaki; Izumi Takei; Kenji Watanabe; Hiroshi Nakashima; Kiyoaki Watanabe; Kazuyuki Omae
Journal:  J Epidemiol       Date:  2002-05       Impact factor: 3.211

Review 9.  Vitamins E and A in vascular diseases.

Authors:  U Butturini
Journal:  Acta Vitaminol Enzymol       Date:  1982

10.  Consensus clustering and functional interpretation of gene-expression data.

Authors:  Stephen Swift; Allan Tucker; Veronica Vinciotti; Nigel Martin; Christine Orengo; Xiaohui Liu; Paul Kellam
Journal:  Genome Biol       Date:  2004-11-01       Impact factor: 13.583
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  7 in total

1.  Reconstructing population exposures to environmental chemicals from biomarkers: challenges and opportunities.

Authors:  Panos G Georgopoulos; Alan F Sasso; Sastry S Isukapalli; Paul J Lioy; Daniel A Vallero; Miles Okino; Larry Reiter
Journal:  J Expo Sci Environ Epidemiol       Date:  2008-03-26       Impact factor: 5.563

2.  Comparison of algorithm-based estimates of occupational diesel exhaust exposure to those of multiple independent raters in a population-based case-control study.

Authors:  Melissa C Friesen; Anjoeka Pronk; David C Wheeler; Yu-Cheng Chen; Sarah J Locke; Dennis D Zaebst; Molly Schwenn; Alison Johnson; Richard Waddell; Dalsu Baris; Joanne S Colt; Debra T Silverman; Patricia A Stewart; Hormuzd A Katki
Journal:  Ann Occup Hyg       Date:  2012-11-25

3.  Applying Artificial Intelligence to Address the Knowledge Gaps in Cancer Care.

Authors:  George Simon; Courtney D DiNardo; Koichi Takahashi; Tina Cascone; Cynthia Powers; Rick Stevens; Joshua Allen; Mara B Antonoff; Daniel Gomez; Pat Keane; Fernando Suarez Saiz; Quynh Nguyen; Emily Roarty; Sherry Pierce; Jianjun Zhang; Emily Hardeman Barnhill; Kate Lakhani; Kenna Shaw; Brett Smith; Stephen Swisher; Rob High; P Andrew Futreal; John Heymach; Lynda Chin
Journal:  Oncologist       Date:  2018-11-16

4.  Testing bias in clinical databases: methodological considerations.

Authors:  Karin J Velthove; Hubert Gm Leufkens; Patrick C Souverein; René C Schweizer; Wouter W van Solinge
Journal:  Emerg Themes Epidemiol       Date:  2010-05-14

5.  Inside the black box: starting to uncover the underlying decision rules used in a one-by-one expert assessment of occupational exposure in case-control studies.

Authors:  David C Wheeler; Igor Burstyn; Roel Vermeulen; Kai Yu; Susan M Shortreed; Anjoeka Pronk; Patricia A Stewart; Joanne S Colt; Dalsu Baris; Margaret R Karagas; Molly Schwenn; Alison Johnson; Debra T Silverman; Melissa C Friesen
Journal:  Occup Environ Med       Date:  2012-11-15       Impact factor: 4.402

6.  Nonlinear association between serum testosterone levels and coronary artery disease in Iranian men.

Authors:  Nader Fallah; Kazem Mohammad; Keramat Nourijelyani; Mohammad Reza Eshraghian; Seyyed Ali Seyyedsalehi; Maria Raiessi; Maziar Rahmani; Hamid Reza Goodarzi; Soodabeh Darvish; Hojjat Zeraati; Gholamreza Davoodi; Saeed Sadeghian
Journal:  Eur J Epidemiol       Date:  2009-04-09       Impact factor: 8.082

7.  Neural networks for modeling gene-gene interactions in association studies.

Authors:  Frauke Günther; Nina Wawro; Karin Bammann
Journal:  BMC Genet       Date:  2009-12-23       Impact factor: 2.797
  7 in total

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