PROBLEM TO BE SOLVED: To estimate the probability of whether or not a subject will transition to Alzheimer's disease after several years. SOLUTION: This is an Alzheimer's disease survival analyzer for performing a survival analysis process for predicting the transition probability of a subject to Alzheimer's disease, and the gray matter in the brain of the subject based on the gray matter volume map data acquisition means. Based on the gray matter volume map data acquisition unit 11 that acquires volume map data and the gray matter volume map data, each region shows the gray matter volume in each region when the subject's brain structure is divided into a plurality of predetermined regions. We learned in advance about the region-specific gray matter volume data generation unit 12 that generates gray matter volume data and the output of the transition probability of the subject to Alzheimer's disease using at least the gray matter volume data for each region of a plurality of regions as input parameters. Based on the trained model, it includes a transition probability output unit 13 that inputs at least gray matter volume data for each region of a plurality of regions of the subject and outputs the transition probability of the subject to Alzheimer's disease. [Selection diagram] Fig. 1【課題】対象者が数年後にアルツハイマー病に遷移するか否かの確率を推定する。【解決手段】対象者のアルツハイマー病への遷移確率を予測する生存分析処理を行うためのアルツハイマー病生存分析装置であって、灰白質容積マップデータ取得手段に基づいて対象者の脳内の灰白質容積マップデータを取得する灰白質容積マップデータ取得部１１と、灰白質容積マップデータに基づいて、対象者の脳構造を所定の複数領域に分割した場合の各領域における灰白質容積を示す領域別灰白質容積データを生成する領域別灰白質容積データ生成部１２と、複数領域の各領域別灰白質容積データを少なくとも入力パラメータとして対象者のアルツハイマー病への遷移確率を出力することについて予め学習した学習済モデルに基づいて、対象者の複数領域の各領域別灰白質容積データを少なくとも入力して当該対象者のアルツハイマー病への遷移確率を出力する遷移確率出力部１３とを備える。【選択図】図１
