Literature DB >> 12234714

Uniqueness of medical data mining.

Krzysztof J Cios1, G William Moore.   

Abstract

This article addresses the special features of data mining with medical data. Researchers in other fields may not be aware of the particular constraints and difficulties of the privacy-sensitive, heterogeneous, but voluminous data of medicine. Ethical and legal aspects of medical data mining are discussed, including data ownership, fear of lawsuits, expected benefits, and special administrative issues. The mathematical understanding of estimation and hypothesis formation in medical data may be fundamentally different than those from other data collection activities. Medicine is primarily directed at patient-care activity, and only secondarily as a research resource; almost the only justification for collecting medical data is to benefit the individual patient. Finally, medical data have a special status based upon their applicability to all people; their urgency (including life-or-death); and a moral obligation to be used for beneficial purposes.

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Year:  2002        PMID: 12234714     DOI: 10.1016/s0933-3657(02)00049-0

Source DB:  PubMed          Journal:  Artif Intell Med        ISSN: 0933-3657            Impact factor:   5.326


  67 in total

1.  Data preparation framework for preprocessing clinical data in data mining.

Authors:  Jau-Huei Lin; Peter J Haug
Journal:  AMIA Annu Symp Proc       Date:  2006

2.  Sequence representation and prediction of protein secondary structure for structural motifs in twilight zone proteins.

Authors:  Lukasz Kurgan; Kanaka Durga Kedarisetti
Journal:  Protein J       Date:  2006-12       Impact factor: 2.371

3.  The Clinical Outcomes Assessment Toolkit: a framework to support automated clinical records-based outcomes assessment and performance measurement research.

Authors:  Leonard W D'Avolio; Alex A T Bui
Journal:  J Am Med Inform Assoc       Date:  2008-02-28       Impact factor: 4.497

4.  A constraint satisfaction approach to data-driven implementation of clinical practice guidelines.

Authors:  Craig Kuziemsky; Dympna O'Sullivan; Wojtek Michalowski; Szymon Wilk; Ken Farion
Journal:  AMIA Annu Symp Proc       Date:  2008-11-06

5.  Nursing routine data as a basis for association analysis in the domain of nursing knowledge.

Authors:  Björn Sellemann; Jürgen Stausberg; Ursula Hübner
Journal:  NI 2012 (2012)       Date:  2012-06-23

6.  The Dependence of Machine Learning on Electronic Medical Record Quality.

Authors:  Long V Ho; David Ledbetter; Melissa Aczon; Randall Wetzel
Journal:  AMIA Annu Symp Proc       Date:  2018-04-16

7.  Tracking medication information across medical records.

Authors:  Juan Eugenio Iglesias; Krupa Rocks; Neda Jahanshad; Enrique Frias-Martinez; Lewellyn P Andrada; Alex A T Bui
Journal:  AMIA Annu Symp Proc       Date:  2009-11-14

8.  Comparison of manual versus automated data collection method for an evidence-based nursing practice study.

Authors:  M D Byrne; T R Jordan; T Welle
Journal:  Appl Clin Inform       Date:  2013-02-13       Impact factor: 2.342

Review 9.  Strategies for medical data extraction and presentation part 2: creating a customizable context and user-specific patient reference database.

Authors:  Bruce Reiner
Journal:  J Digit Imaging       Date:  2015-06       Impact factor: 4.056

10.  XML-based approaches for the integration of heterogeneous bio-molecular data.

Authors:  Marco Mesiti; Ernesto Jiménez-Ruiz; Ismael Sanz; Rafael Berlanga-Llavori; Paolo Perlasca; Giorgio Valentini; David Manset
Journal:  BMC Bioinformatics       Date:  2009-10-15       Impact factor: 3.169

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