テキストマイニングを用いた生活行為向上マネジメント事例における生活歴の分類の試み—予備的研究

Classification of life histories in case series on Management Tool for Daily Life Performance using text mining: A pilot study

要旨：本研究の目的は，生活歴の評価手法の確立に向けた予備的研究として，生活行為向上マネジメント（以下，MTDLP）事例を対象にテキストマイニングを用いて生活歴を分類することである．方法は，MTDLP事例報告登録データベースで公開されている直近100事例を対象に生活歴のテキストデータを抽出し，テキストマイニングを用いて共起ネットワークを作成し，カテゴリーをICFコードに分類した．事例の生活歴は活動と参加7項目および3つのライフイベントに分類された．今後は，ライフステージごとの社会参加に焦点を当てた生活歴の評価手法を作成する予定である．

　The establishment of methods for assessing personal factors, including life histories, is an urgent issue in the practice of patient/person-centered occupational therapy. The purpose of this study was to classify the life histories in case series on Management Tool for Daily Life Performance (MTDLP) using text mining. We extracted textual data of life histories for 100 MTDLP cases and created co-occurrence networks using text mining. Additionally, we classified categories of life history text data into ICF codes. The most frequent words in the text data for life history were 'husband' 85 times, 'work' 76 times, and 'housework' 61 times, in that order. We analyzed the categories of the co-occurrence network, which were categorized into three life event items ('high school graduation', 'marriage and childbearing', and 'retirement') and seven activity and participation items ('d475: Driving', 'd5: Self-care', 'd6: Domestic life', 'd760: Family relationships', 'd850: Remunerative employment', 'd910: Community life' and 'd920: Recreation and leisure'). We found that occupational therapists describe life histories focusing on social participation at each life stage.