Towards Developing Intelligent Autonomous Systems in Psychiatry: Its Present State and Future Possibilities

Healthcare Informatics (HI) remains a pivotal factor to successful implementation of technology in medicine. Knowledge Engineering (KE) is the key towards developing Intelligent Decision Support Systems (IDSS) and it is an important area under the HI. KE techniques extract hidden knowledge from a set of raw data and the knowledge thus extracted, constitutes the knowledge base of an IDSS. Applications of KE techniques in medicine are gaining popularities for extracting the hidden patterns in biological and clinical data that are often subjective in nature. The key impetus is to diagnose diseases, decide on treatment plans, and predict prognosis. Mental illness being one highly complex in nature is often either under-diagnosed or over-diagnosed by the psychiatrists due to involved subjectivities with the signs, symptoms, course of morbidity, and treatment-responses. Given the fact, the key impetus for adopting KE techniques in mental illnesses is to analyze the clinical data for extracting information and process it into knowledge after scientific realization by the domain experts. Knowledge, thus extracted, could be useful to develop various IDSS to automate the diagnostic process and predicting prognosis for assisting the clinicians by virtue of its speed and precision. This chapter is a meta-analysis of current researches on the applications of various KE techniques and IDSS in psychiatry. The contribution of this chapter not only lies on the in-depth and critical review of the present state of research, but also the vision that is needed to successfully design, develop and practically implement autonomous intelligent systems in day-to-day psychiatry practice.

[1]  Dilip Kumar Pratihar,et al.  Developing fuzzy classifiers to predict the chance of occurrence of adult psychoses , 2008, Knowl. Based Syst..

[2]  S. Chattopadhyay.  A Study on Suicidal Risk Analysis , 2007, 2007 9th International Conference on e-Health Networking, Application and Services.

[3]  M Blank,et al.  Issues to consider before investing in bedside terminal systems. , 1991, Hospital technology series.

[4]  J. Overall,et al.  The Brief Psychiatric Rating Scale , 1962 .

[5]  Harold I. Kaplan,et al.  Kaplan and Sadock's Synopsis of Psychiatry: Behavioral Sciences Clinical Psychiatry , 1994 .

[6]  Ricardo Santiago-Mozos,et al.  Variables associated with familial suicide attempts in a sample of suicide attempters , 2007, Progress in Neuro-Psychopharmacology and Biological Psychiatry.

[7]  Catherine Baxter,et al.  Assessing and improving EHR data quality. , 2007, Journal of AHIMA.

[8]  Ricardo Santiago-Mozos,et al.  Using data mining to explore complex clinical decisions: A study of hospitalization after a suicide attempt. , 2006, The Journal of clinical psychiatry.

[9]  S. Chattopadhyay,et al.  Suicidal Risk Evaluation Using a Similarity-Based Classifier , 2008, ADMA.

[10]  Taiki Takahashi,et al.  A mathematical framework for probabilistic choice based on information theory and psychophysics. , 2006, Medical hypotheses.

[11]  Pat Levitt,et al.  Molecular Evidence for Increased Expression of Genes Related to Immune and Chaperone Function in the Prefrontal Cortex in Schizophrenia , 2007, Biological Psychiatry.

[12]  Paul Yarowsky,et al.  Data mining in a behavioral test detects early symptoms in a model of amyotrophic lateral sclerosis. , 2008, Behavioral neuroscience.

[13]  M. Sugeno,et al.  Derivation of Fuzzy Control Rules from Human Operator's Control Actions , 1983 .

[14]  M M Ohayon,et al.  Improving decisionmaking processes with the fuzzy logic approach in the epidemiology of sleep disorders. , 1999, Journal of psychosomatic research.

[15]  S K Johri,et al.  Set-covering diagnostic expert system for psychiatric disorders: the third world context. , 1991, Computer methods and programs in biomedicine.

[16]  Dilip Kumar Pratihar,et al.  Fuzzy-Logic-Based Screening and Prediction of Adult Psychoses: A Novel Approach , 2009, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.

[17]  James C. Bezdek,et al.  Pattern Recognition with Fuzzy Objective Function Algorithms , 1981, Advanced Applications in Pattern Recognition.

[18]  F J McMahon,et al.  Convergent functional genomics of genome‐wide association data for bipolar disorder: Comprehensive identification of candidate genes, pathways and mechanisms , 2009, American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics.

[19]  S. Debowski.  Knowledge Management , 2005 .

[20]  E Hinden,et al.  DIAGNOSIS OF CŒLIAC DISEASE , 1975, The Lancet.

[21]  A. Beck,et al.  Prediction of Suicide , 1975 .

[22]  Celso Arango,et al.  Obstetric complications as a risk factor for first psychotic episodes in childhood and adolescence , 2009, European Child & Adolescent Psychiatry.

[23]  Nilmini Wickramasinghe,et al.  A Framework For Assessing E-Health Preparedness , 2005, AMCIS.

[24]  F. Supek,et al.  Posttraumatic stress disorder: diagnostic data analysis by data mining methodology. , 2007, Croatian medical journal.

[25]  Jiawei Han,et al.  Data Mining: Concepts and Techniques , 2000 .

[26]  Dean Schuyler,et al.  Development of suicidal intent scales. , 1974 .

[27]  M A Overby.  Psyxpert: an expert system prototype for aiding psychiatrists in the diagnosis of psychotic disorders. , 1987, Computers in biology and medicine.

[28]  Y Wang,et al.  Artificial Neural Network to Assist Psychiatric Diagnosis , 1996, British Journal of Psychiatry.

[29]  Johannes Kornhuber,et al.  Alcoholism and homicide with respect to the classification systems of Lesch and Cloninger. , 2006, Alcohol and alcoholism.

[30]  M F Jefferson,et al.  Evolution of Artificial Neural Network Architecture: Prediction of Depression after Mania , 1998, Methods of Information in Medicine.

[31]  Chris Chapman,et al.  A genetic algorithm system to find symbolic rules for diagnosis of depression , 1999, Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406).

[32]  M. Hamilton.  A RATING SCALE FOR DEPRESSION , 1960, Journal of neurology, neurosurgery, and psychiatry.

[33]  M Kovács,et al.  "Auctoritas" psychiatric expert system shell. , 1995, Medinfo. MEDINFO.

[34]  R. Plackett,et al.  THE DESIGN OF OPTIMUM MULTIFACTORIAL EXPERIMENTS , 1946 .

[35]  Lotfi A. Zadeh,et al.  Fuzzy Sets , 1996, Inf. Control..

[36]  Walter Lowell,et al.  Research Paper: Predicting Length of Stay for Psychiatric Diagnosis-related Groups Using Neural Networks , 1994, J. Am. Medical Informatics Assoc..

[37]  Matthew H Samore,et al.  Developing Indicators of Inpatient Adverse Drug Events Through Nonlinear Analysis Using Administrative Data , 2007, Medical care.

[38]  Kazuo Yana,et al.  A neural net screening of psychiatric patients , 1994, Proceedings of 16th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[39]  M Buscema,et al.  Application of artificial neural networks to eating disorders. , 1998, Substance use & misuse.

[40]  B. Palaniappan,et al.  An investigation of neuro-fuzzy systems in psychosomatic disorders , 2005, Expert Syst. Appl..

[41]  D W Pierce,et al.  Suicidal Intent in Self-Injury , 1977, British Journal of Psychiatry.

[42]  Lars Bergman,et al.  Decision support in psychiatry – a comparison between the diagnostic outcomes using a computerized decision support system versus manual diagnosis , 2008, BMC Medical Informatics Decis. Mak..

[43]  S. Kay,et al.  The positive and negative syndrome scale (PANSS) for schizophrenia. , 1987, Schizophrenia bulletin.

[44]  John Carroll.  Doctors say getting wired too costly, time-consuming. , 2008, Managed care.

[45]  J. Wing,et al.  Industrial rehabilitation of male chronic schizophrenic patients. , 1959, Lancet.

[46]  Nilmini Wickramasinghe,et al.  Facilitating superior chronic disease management through a knowledge-based systems development model , 2008, Int. J. Electron. Heal..

[47]  Manoranjan Dash,et al.  Entropy-based fuzzy clustering and fuzzy modeling , 2000, Fuzzy Sets Syst..

[48]  Johanna Castrén,et al.  Users and non-users of web-based health advice service among Finnish university students – chronic conditions and self-reported health status (a cross-sectional study) , 2008, BMC Medical Informatics Decis. Mak..

[49]  S. Chattopadhyay,et al.  A framework for assessing ICT preparedness for e-health implementations , 2008, HealthCom 2008 - 10th International Conference on e-health Networking, Applications and Services.

[50]  Dilip Kumar Pratihar,et al.  Some studies on fuzzy clustering of psychosis data , 2007, Int. J. Bus. Intell. Data Min..

[51]  D. Servan-Schreiber,et al.  Knowledge engineering: a daily activity on a hospital ward. , 1983, Computers and biomedical research, an international journal.

[52]  Richard C. McEachin,et al.  Modeling gene-by-environment interaction in comorbid depression with alcohol use disorders via an integrated bioinformatics approach , 2008, BioData Mining.

[53]  E. Shortliffe.  Computer-based medical consultations: mycin (elsevier north holland , 1976 .

[54]  Robert L. Spitzer,et al.  DIAGNO II: Further Developments in a Computer Program for Psychiatric Diagnosis , 1969 .