16.ニューラルネットワークによる疫学データ解析と疫学指標への応用(ファジィニューラル(2),一般講演,医療とヒューマンフレンドリーコンピュータ科学の接点を求めて-21世紀マルチメディア医療をむかえて-)  [in Japanese] 16. Application of neural network model for epidemiological data analysis  [in Japanese]

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Author(s)

Abstract

This paper aims to clarify the usefulness and problems when the neural network applied to epidemiological analysis. The occurrence of hypertension in 10 years was predicted by the neural network and ordinary logistic regression. The neural network model showed sex, age, blood pressure and uric acid as the significant variables to determine the occurrence. On the other hand, the logistic regression showed sex, age, total cholesterol, triglyceride and fasten plasma glucose as the significant variables. The results of the neural network model indicated the data set of the learning samples should be modified to improve learning ability of the neural network.

Journal

  • Proceedings of the Annual Conference of Biomedical Fuzzy Systems Association

    Proceedings of the Annual Conference of Biomedical Fuzzy Systems Association 8(0), 47-48, 1995

    Biomedical Fuzzy Systems Association

Codes

  • NII Article ID (NAID)
    110008138915
  • Text Lang
    JPN
  • ISSN
    1345-1510
  • Data Source
    NII-ELS  J-STAGE 
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