國家衛生研究院 NHRI:Item 3990099045/3349
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    Please use this identifier to cite or link to this item: http://ir.nhri.org.tw/handle/3990099045/3349


    Title: Performance of a neuro-fuzzy model in predicting weight changes of chronic schizophrenic patients exposed to antipsychotics
    Authors: Lan, TH;Loh, EW;Wu, MS;Hu, TM;Chou, P;Lan, TY;Chiu, HJ
    Contributors: Division of Mental Health and Substance Abuse Research;Division of Gerontology Research
    Abstract: Artificial intelligence has become a possible solution to resolve the problem of loss of information when complexity of a disease increases. Obesity phenotypes are observable clinical features of drug-naive schizophrenic patients. In addition, atypical antipsychotic medications may cause these unwanted effects. Here we examined the performance of neuro-fuzzy modeling (NFM) in predicting weight changes in chronic schizophrenic patients exposed to antipsychotics. Two hundred and twenty inpatients meeting DSMIV diagnosis of schizophrenia, treated with antipsychotics, either typical or atypical, for more than 2 years, were recruited. All subjects were assessed in the same study period between mid-November 2003 and mid-April 2004. The baseline and first visit's physical data including weight, height and circumference were used in this study. Clinical information (Clinical Global Impression and Life Style Survey) and genotype data of five single nucleotide polymorphisms were also included as predictors. The subjects were randomly assigned into the first group (105 subjects) and second group (115 subjects), and NFM was performed by using the FuzzyTECH 5.54 software package, with a network-type structure constructed in the rule block. A complete learned model trained from merged data of the first and second groups demonstrates that, at a prediction error of 5, 93% subjects with weight gain were identified. Our study suggests that NFM is a feasible prediction tool for obesity in schizophrenic patients exposed to antipsychotics, with further improvements required. 穢 2008 Nature Publishing Group All rights reserved.
    Date: 2008-12
    Relation: Molecular Psychiatry. 2008 Dec;13(12):1129-1137.
    Link to: http://dx.doi.org/10.1038/sj.mp.4002128
    JIF/Ranking 2023: http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=NHRI&SrcApp=NHRI_IR&KeyISSN=1359-4184&DestApp=IC2JCR
    Cited Times(WOS): https://www.webofscience.com/wos/woscc/full-record/WOS:000260879000006
    Cited Times(Scopus): http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=56449127168
    Appears in Collections:[El-Wui Loh(2004-2012)] Periodical Articles

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