Rchr
J-GLOBAL ID:200901011269399155   Update date: May. 13, 2020

Kawakami Junko

カワカミ ジュンコ | Kawakami Junko
Affiliation and department:
Job title: Research assistant
Research field  (4): Pharmaceuticals - chemistry and drug development ,  Educational technology ,  Neuroscience - general ,  Neuroscience - general
Research keywords  (3): Computer Literacy ,  Neural Network ,  Structure Activity Relationship
Research theme for competitive and other funds  (4):
  • 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
  • 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
  • Neural Network Approach to Quantitative Structure-Activity Relationships in Pharmacology
Papers (12):
  • Aoki Sorama, Nishizaka Sono, Sato Kenichi, Hoshi Kenji, Kawakami Junko, Mori Kouki, Nakagawa Yoshinori, Hida Wataru, Yoshida Katsumi. 基本検査項目を組み合わせた新しい低価格の甲状腺機能異常症検出法 検査値の平均時系列変動率の活用による診断精度向上(New Low-cost Method for Detecting Abnormal Thyroid Function in Patients Making Use of a Set of Routine-tests: Adding their Average Rates of Annual Time-series Variations). Ningen Dock International. 2016. 4. 1. 32-38
  • Sorama Aoki, Sono Nishizaka, Kenichi Sato, Kenji Hoshi, Junko Kawakami, Kouki Mori, Yoshinori Nakagawa, Wataru Hida, Katsumi Yoshida. Predicting Thyrotoxicosis in Patients Using a Set of Routine Tests: Adding their Rate of Annual Time-Series Variations to Self-Organizing Map-Based Predictive Model Improves Diagnostic Accuracy. Annals of Computer Science and Information Systems. 2015. 6. 3-9
  • Aoki Sorama, Sato Kenichi, Hoshi Kenji, Kawakami Junko, Mori Kouki, Nakagawa Yoshinori, Hida Wataru, Yoshida Katsumi. 一連の定期検査を利用している患者における甲状腺機能異常検出のための新しい低コストの方法 さらに多くの人間ドック受診者を検査し適切な閾値を研究するために(New Low-cost Method for Detecting Abnormal Thyroid Function in Patients Making Use of a Set of Routine Tests-Testing Many More Ningen Dock Examinees and Studying Appropriate Threshold Levels). Ningen Dock International. 2014. 2. 1. 19-26
  • Junko Kawakami. [Visualization and analysis of drug information on adverse reactions using data mining method, and its clinical application]. Yakugaku zasshi : Journal of the Pharmaceutical Society of Japan. 2014. 134. 1. 105-18
  • Tomoyuki Hamamoto, Ayaka Serizawa, Kaori Ohtsuki, Junko Kawakami, Kenichi Sato. [Visualization and analysis of adverse reactions of molecularly targeted anticancer agents using the self-organizing map (SOM)]. Yakugaku zasshi : Journal of the Pharmaceutical Society of Japan. 2014. 134. 10. 1069-80
more...
Association Membership(s) (3):
Japan Association for Medical Informatics ,  Japanese Society of Drug Safety ,  Japanese Society of Pharmaceutical Health Care and Sciences
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