Data mining in psychiatric research.
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.
Department of Industrial and Systems Engineering, Center for Applied Optimization, University of Florida, Gainesville, FL, USA.
Diego
D
Tovar
Eduardo
E
Cornejo
Petros
P
Xanthopoulos
Mario R
MR
Guarracino
Panos M
PM
Pardalos
D057225:Data Mining / Q000379:methods*; D019992:Databases as Topic; D006801:Humans; D001523:Mental Disorders / Q000145:classification* / Q000175:diagnosis*; D011570:Psychiatry / Q000379:methods*; D013223:Statistics as Topic / Q000379:methods*