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Using decision tree analysis to identify population groups at risk of subjective unmet need for assistance with activities of daily living.

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第一作者： Philipp,Jaehn

第一单位： Institute of Social Medicine and Epidemiology, Brandenburg Medical School, Brandenburg an der Havel, Germany.;Faculty of Health Sciences Brandenburg, Brandenburg Medical School, Potsdam, Germany.

作者： Philipp,Jaehn ^[1] ; Hella,Fügemann ^[2] ; Kathrin,Gödde ^[3] ; Christine,Holmberg ^[4]

作者单位： Institute of Social Medicine and Epidemiology, Brandenburg Medical School, Brandenburg an der Havel, Germany.;Faculty of Health Sciences Brandenburg, Brandenburg Medical School, Potsdam, Germany. ^[1] Institute of Social Medicine and Epidemiology, Brandenburg Medical School, Brandenburg an der Havel, Germany.;Institute of Public Health, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität Zu Berlin, Berlin, Germany. ^[2] Institute of Public Health, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität Zu Berlin, Berlin, Germany. ^[3] Institute of Social Medicine and Epidemiology, Brandenburg Medical School, Brandenburg an der Havel, Germany. christine.holmberg@mhb-fontane.de.;Faculty of Health Sciences Brandenburg, Brandenburg Medical School, Potsdam, Germany. christine.holmberg@mhb-fontane.de. ^[4]

关键词 Activities of daily living Conditional inference trees Resource allocation Social care Unmet need for assistance Vulnerable groups