Research field (3)：
Healthcare management, medical sociology
, Hygiene and public health (laboratory)
, Chemical reaction and process system engineering
Research theme for competitive and other funds (8)：
2021 - 2024 無線メッシュネットワークによる服薬モニタリングシステムの開発
2017 - 2020 近距離通信ネットワークによる24時間体制の服薬サポートシステムの開発
2016 - 2019 Constructing and applying a prediction model of Cushing's syndrome and adrenal insufficiency making use of a set of routine tests data
2014 - 2017 New method for aiding detection of abnormal thyroid function in patients making use of set of routine tests – applying it in screening during general health check-ups or visiting hospitals
2014 - 2016 Distributed drug compliance monitoring system using wireless sensor network.
2011 - 2013 Development of the new method to assist diagnosing thyroid dysfunction adopting a combination of routine test data that was already measured during health-checkup, and its clinical application
ニューラルネットワークによる甲状腺疾患診断支援
Computer assisted diagnosis of thyroid diseases by neural networks.
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Papers (29)：
Sorama Aoki, Juichi Fujimori, Ryoko Mikami, Kenji Hoshi, Junko Kawakami, Kenichi Sato, Ichiro Nakashima. Assisting the diagnosis of multiple sclerosis using a set of regional brain volumes: A classification model for patients and healthy controls. Informatics in Medicine Unlocked. 2021. 26
Sorama Aoki, Sono Nishizaka, Kenichi Sato, Kenji Hoshi, Junko Kawakami, Kouki Mori, Yoshinori Nakagawa, Wataru Hida, Katsumi Yoshida. Predicting Thyrotoxicosis in Patients Making Use of a Set of Routine Tests: Introducing the Rate of Annual Time-Series Variations into Self-Organizing Map-Based Prediction Model Improves More Accuracy. Annals of Computer Science and Information Systems. 2015. 6
青木空眞, 川上準子, 星憲司, 佐藤憲一, 中川吉則, 森弘毅, 飛田渉, 吉田克己. Assisting the diagnosis of overt hypothyroidism making use of a set of routine tests: Artificial intelligence-based attempts to build a time-series prediction model using laboratory values at two-time points. 日本薬学会年会要旨集(Web). 2022. 142nd
