Foreseeing Promising Bio-medical Findings for Effective Applications of Data Mining

The increasing availability of automated data collection tools, database technologies and Information and Communication Technologies in biomedicine and health care have led to huge amounts of biomedical and health-care data accumulated in several repositories. Unfortunately, the process of analysis of such data represents a complex task also because data volumes grow exponentially so manual analysis and interpretation become impractical. Fortunately, knowledge discovery in databases (KDD) and data mining (DM) are powerful tools available to medical and research people for help them in explore data and discover useful knowledge. To assess the spread of DM and KDD in biomedicine and health care, we designed and performed a search database of biomedical and health-care scientific literature, for the year interval 1997-2004, and analyzed the obtained results. There has been an increase of application of DM methods in literature of bio-medical informatics research most of which in bioinformatics and genomic area.

[1]  Padhraic Smyth,et al.  From Data Mining to Knowledge Discovery: An Overview , 1996, Advances in Knowledge Discovery and Data Mining.

[2]  Sholom M. Weiss,et al.  Predictive data mining - a practical guide , 1997 .

[3]  Gregory Piatetsky-Shapiro,et al.  The KDD process for extracting useful knowledge from volumes of data , 1996, CACM.

[4]  Petra Perner,et al.  Data Mining - Concepts and Techniques , 2002, Künstliche Intell..

[5]  Lehana Thabane,et al.  Application of data mining techniques in pharmacovigilance. , 2003, British journal of clinical pharmacology.

[6]  Krzysztof J. Cios,et al.  Uniqueness of medical data mining , 2002, Artif. Intell. Medicine.

[7]  Sun-Mi Lee,et al.  Bayesian networks for knowledge discovery in large datasets: basics for nurse researchers , 2003, J. Biomed. Informatics.

[8]  Peter J.F. Lucas Bayesian analysis, pattern analysis, and data mining in health care , 2004, Current opinion in critical care.

[9]  Huiqing Liu,et al.  Data Mining Tools for Biological Sequences , 2003, J. Bioinform. Comput. Biol..