Data Mining in Psychiatric Research

  • Diego Tovar
  • Eduardo Cornejo
  • Petros Xanthopoulos
  • Mario R. Guarracino
  • Panos M. Pardalos
Part of the Methods in Molecular Biology book series (MIMB, volume 829)


Mathematical sciences and computational methods have found new applications in fields like medicine over the last few decades. Modern data acquisition and data analysis protocols have been of great assistance to medical researchers and clinical scientists. Especially in psychiatry, technology and science have made new computational methods available to assist the development of predictive modeling and to identify diseases more accurately. Data mining (or knowledge discovery) aims to extract information from large datasets and solve challenging tasks, like patient assessment, early mental disease diagnosis, and drug efficacy assessment. Accurate and fast data analysis methods are very important, especially when dealing with severe psychiatric diseases like schizophrenia. In this paper, we focus on computational methods related to data analysis and more specifically to data mining. Then, we discuss some related research in the field of psychiatry.

Key words

Data mining Machine learning Psychiatry Drug efficacy Schizophrenia 


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Copyright information

© Springer Science+Business Media, LLC 2012

Authors and Affiliations

  • Diego Tovar
    • 1
  • Eduardo Cornejo
    • 1
  • Petros Xanthopoulos
    • 1
  • Mario R. Guarracino
    • 2
  • Panos M. Pardalos
    • 1
    • 3
  1. 1.Department of Industrial and Systems Engineering, Center for Applied OptimizationUniversity of FloridaGainesvilleUSA
  2. 2.High Performance Computing and Networking InstituteNational Research CouncilNaplesItaly
  3. 3.J. Crayton Pruitt Family Department of Biomedical EngineeringUniversity of FloridaGainesvilleUSA

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