Veri Madenciliği: Tıp ve Sağlık Hizmetlerinde Kullanımı ve Uygulamaları

Buyuk miktarda veri icerisinden, gizli kalmis, degerli, kullanilabilir bilgileri aciga cikarmak ve stratejik karar destek saglamak amaciyla kullanilan Veri Madenciligi; buyuk miktarda veriyle ilgili sorun alanlarina yanit bulmasi yaninda saglik verilerinin kullaniminda yeni bir perspektif yaratmis ve kullanim yayginligi hizla artmaya devam eden bir yontem haline gelmistir. Bu makalenin amaci, saglikta Veri Madenciliginin kullanimi konusunda bir altyapi olusturmak ve saglik profesyonellerine saglik sektorunde Veri Madenciligi'nin kullanimi ile ilgili ornekler sunarak karar verme surecleri acisindan yeni bir bakis acisi kazandirmaktir. Bu amacla makalede Veri Tabanlarinda Bilgi Kesfi, Veri Ambari, Veri Madenciligi, Is Zekasi ve Veri Madenciligi Yontemleri konularinda kavramsal cerceve verilerek; ulkemizdeki saglik sektorunde oncelikli konu ve sorun alanlari ile ilgili Veri Madenciligi uygulamalarina ornekler sunulmaktadir.

[1]  Isabel M. Ramos,et al.  Applying Data Mining to Software Development Projects: A Case Study , 2004, ICEIS.

[2]  Padhraic Smyth,et al.  From Data Mining to Knowledge Discovery in Databases , 1996, AI Mag..

[3]  Robert Tibshirani,et al.  The Elements of Statistical Learning: Data Mining, Inference, and Prediction, 2nd Edition , 2001, Springer Series in Statistics.

[4]  Ali Serhan Koyuncugil,et al.  Financial profiling of public hospitals: an application by data mining. , 2009, The International journal of health planning and management.

[5]  San-Yih Hwang,et al.  A process-mining framework for the detection of healthcare fraud and abuse , 2006, Expert Syst. Appl..

[6]  Mary K Obenshain Application of Data Mining Techniques to Healthcare Data , 2004, Infection Control & Hospital Epidemiology.

[7]  Boris Kovalerchuk,et al.  Data mining in finance: advances in relational and hybrid methods , 2000 .

[8]  A Min Tjoa,et al.  The Relevance of Data Warehousing and Data Mining in the Field of Evidence-based Medicine to Support Healthcare Decision Making , 2007 .

[9]  Ali Serhan Koyuncugil,et al.  Donor Research and Matching System Based on Data Mining in Organ Transplantation , 2010, Journal of Medical Systems.

[10]  Larissa Terpeluk Moss,et al.  Business Intelligence Roadmap: The Complete Project Lifecycle for Decision-Support Applications , 2003 .

[11]  William Frawley,et al.  Knowledge Discovery in Databases , 1991 .

[12]  L Sokol,et al.  Using data mining to find fraud in HCFA health care claims. , 2001, Topics in health information management.

[13]  C. Subbe,et al.  Validation of a modified Early Warning Score in medical admissions. , 2001, QJM : monthly journal of the Association of Physicians.

[14]  David F. Lobach,et al.  Medical data mining: knowledge discovery in a clinical data warehouse , 1997, AMIA.

[15]  James H Harrison,et al.  The development of health care data warehouses to support data mining. , 2008, Clinics in laboratory medicine.

[16]  Ali Serhan Koyuncugil Early Warning System for SMEs as a Financial Risk Detector , 2009 .

[17]  Robert A. Weinstein,et al.  Application of Information Technology: Development of a Clinical Data Warehouse for Hospital Infection Control , 2003, J. Am. Medical Informatics Assoc..

[18]  Ali Serhan Koyuncugil,et al.  Detecting Road Maps for Capacity Utilization Decisions by Clustering Analysis and CHAID Decision Tress , 2010, Journal of Medical Systems.

[19]  Richard J. Roiger,et al.  Data Mining: A Tutorial Based Primer , 2002 .

[20]  Seung Hee Ho,et al.  Analysis of healthcare quality indicator using data mining and decision support system , 2003, Expert Syst. Appl..

[21]  Alex Berson,et al.  Building Data Mining Applications for CRM , 1999 .

[22]  Zhengxin Chen,et al.  Data Mining and Uncertain Reasoning: An Integrated Approach , 2001 .

[23]  Warren T. Jones,et al.  Research Paper: Association Rules and Data Mining in Hospital Infection Control and Public Health Surveillance , 1998, J. Am. Medical Informatics Assoc..