Literature DB >> 15357163

Application of data mining techniques to healthcare data.

Mary K Obenshain1.   

Abstract

A high-level introduction to data mining as it relates to surveillance of healthcare data is presented. Data mining is compared with traditional statistics, some advantages of automated data systems are identified, and some data mining strategies and algorithms are described. A concrete example illustrates steps involved in the data mining process, and three successful data mining applications in the healthcare arena are described.

Mesh:

Year:  2004        PMID: 15357163     DOI: 10.1086/502460

Source DB:  PubMed          Journal:  Infect Control Hosp Epidemiol        ISSN: 0899-823X            Impact factor:   3.254


  16 in total

1.  A decision support tool for health service re-design.

Authors:  Eren Demir; Salma Chahed; Thierry Chaussalet; Sam Toffa; Farid Fouladinajed
Journal:  J Med Syst       Date:  2010-05-25       Impact factor: 4.460

Review 2.  Arterial Stiffness and Coronary Ischemia: New Aspects and Paradigms.

Authors:  Alexandre Vallée; Alexandre Cinaud; Athanase Protogerou; Yi Zhang; Jirar Topouchian; Michel E Safar; Jacques Blacher
Journal:  Curr Hypertens Rep       Date:  2020-01-10       Impact factor: 5.369

3.  Forecasting the Amount of Blood Ordered in the Obstetrics and Gynaecology Ward with the Data Mining Approach.

Authors:  Tahmineh Aldaghi; Ghasemi H Morteza; Mehrdad Kargari
Journal:  Indian J Hematol Blood Transfus       Date:  2019-11-14       Impact factor: 0.900

Review 4.  Data mining in healthcare and biomedicine: a survey of the literature.

Authors:  Illhoi Yoo; Patricia Alafaireet; Miroslav Marinov; Keila Pena-Hernandez; Rajitha Gopidi; Jia-Fu Chang; Lei Hua
Journal:  J Med Syst       Date:  2011-05-03       Impact factor: 4.460

5.  A clinical decision tool for predicting patient care characteristics: patients returning within 72 hours in the emergency department.

Authors:  Eva K Lee; Fan Yuan; Daniel A Hirsh; Michael D Mallory; Harold K Simon
Journal:  AMIA Annu Symp Proc       Date:  2012-11-03

6.  Exploratory data mining analysis identifying subgroups of patients with depression who are at high risk for suicide.

Authors:  Mark A Ilgen; Karen Downing; Kara Zivin; Katherine J Hoggatt; H Myra Kim; Dara Ganoczy; Karen L Austin; John F McCarthy; Jignesh M Patel; Marcia Valenstein
Journal:  J Clin Psychiatry       Date:  2009-11       Impact factor: 4.384

7.  The use of regional platforms for managing electronic health records for the production of regional public health indicators in France.

Authors:  Marie-Hélène Metzger; Thierry Durand; Stéphane Lallich; Roger Salamon; Philippe Castets
Journal:  BMC Med Inform Decis Mak       Date:  2012-04-03       Impact factor: 2.796

8.  Quantitative population-health relationship (QPHR) for assessing metabolic syndrome.

Authors:  Apilak Worachartcheewan; Chanin Nantasenamat; Chartchalerm Isarankura-Na-Ayudhya; Virapong Prachayasittikul
Journal:  EXCLI J       Date:  2013-06-26       Impact factor: 4.068

9.  Improving Prediction Accuracy of "Central Line-Associated Blood Stream Infections" Using Data Mining Models.

Authors:  Amin Y Noaman; Farrukh Nadeem; Abdul Hamid M Ragab; Arwa Jamjoom; Nabeela Al-Abdullah; Mahreen Nasir; Anser G Ali
Journal:  Biomed Res Int       Date:  2017-09-20       Impact factor: 3.411

Review 10.  Data mining for the identification of metabolic syndrome status.

Authors:  Apilak Worachartcheewan; Nalini Schaduangrat; Virapong Prachayasittikul; Chanin Nantasenamat
Journal:  EXCLI J       Date:  2018-01-10       Impact factor: 4.068

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