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Daisuke Ichikawa
Daisuke Ichikawa
University of Tokyo, Sustainable Medicine Inc.
Verified email at umin.ac.jp - Homepage
Title
Cited by
Cited by
Year
Tamper-resistant mobile health using blockchain technology
D Ichikawa, M Kashiyama, T Ueno
JMIR mHealth and uHealth 5 (7), e7938, 2017
2962017
How can machine-learning methods assist in virtual screening for hyperuricemia? A healthcare machine-learning approach
D Ichikawa, T Saito, W Ujita, H Oyama
Journal of biomedical informatics 64, 20-24, 2016
672016
XGBoost, a machine learning method, predicts neurological recovery in patients with cervical spinal cord injury
T Inoue, D Ichikawa, T Ueno, M Cheong, T Inoue, WD Whetstone, T Endo, ...
Neurotrauma reports 1 (1), 8-16, 2020
502020
Data validation and verification using blockchain in a clinical trial for breast cancer: regulatory sandbox
T Hirano, T Motohashi, K Okumura, K Takajo, T Kuroki, D Ichikawa, ...
Journal of medical Internet research 22 (6), e18938, 2020
442020
Secure and scalable mhealth data management using blockchain combined with client hashchain: system design and validation
T Motohashi, T Hirano, K Okumura, M Kashiyama, D Ichikawa, T Ueno
Journal of medical Internet research 21 (5), e13385, 2019
432019
Using machine-learning approaches to predict non-participation in a nationwide general health check-up scheme
A Shimoda, D Ichikawa, H Oyama
Computer methods and programs in biomedicine 163, 39-46, 2018
262018
Prediction models to identify individuals at risk of metabolic syndrome who are unlikely to participate in a health intervention program
A Shimoda, D Ichikawa, H Oyama
International journal of medical informatics 111, 90-99, 2018
252018
Tamper-resistant mobile health using blockchain technology. JMIR Mhealth Uhealth. 2017 Jul 26; 5 (7): e111. doi: 10.2196/mhealth. 7938
D Ichikawa, M Kashiyama, T Ueno
22
Tamper-resistant mobile health using blockchain technology. JMIR Mhealth Uhealth. 2017 Jul 26; 5 (7): e111. 10.2196/mhealth. 7938
D Ichikawa, M Kashiyama, T Ueno
16
Effect of smartphone-based cognitive behavioral therapy app on insomnia: a randomized, double-blind study
Y Watanabe, T Kuroki, D Ichikawa, M Ozone, N Uchimura, T Ueno
Sleep 46 (3), zsac270, 2023
132023
Impact of predicting health-guidance candidates using massive health check-up data: a data-driven analysis
D Ichikawa, T Saito, H Oyama
International Journal of Medical Informatics 106, 32-36, 2017
122017
Comorbid insomnia among breast cancer survivors and its prediction using machine learning: a nationwide study in Japan
T Ueno, D Ichikawa, Y Shimizu, T Narisawa, K Tsuji, E Ochi, N Sakurai, ...
Japanese Journal of Clinical Oncology 52 (1), 39-46, 2022
92022
Tamper-Resistant Mobile Health Using Blockchain Technology. JMIR MHealth and UHealth, 5 (7), e111
D Ichikawa, M Kashiyama, T Ueno
82017
XGBoost, a machine learning method, predicts neurological recovery in patients with cervical spinal cord injury. Neurotrauma Reports.(2020) 1 (1): 8-16
T Inoue, D Ichikawa, T Ueno, M Cheong, T Inoue, WD Whetstone
52020
Potential role of sorghum barrier crops as insectary plants: seasonal occurrence of aphidophagous predators in sorghum and eggplant fields.
D Ichikawa, H Iwai, K Ohno
42016
Evaluation of sorghum as an insectary plant: effects of sorghum phenology on the occurrence of aphids (Hemiptera: Aphididae).
D Ichikawa, H Iwai, Y Tanaka, K Ohno
32016
Immersive virtual classroom as an education tool for color barrier-free presentations: a pilot study
S Fukuyama, T Saito, D Ichikawa, A Kohyama, H Oyama
F1000Research 10, 985, 2022
12022
Metabolic syndrome: Association between prevalence and risk at worksites
M Kakinuma, H Ide, K Nakao, D Ichikawa, R Nagai, Y Furui
Archives of Environmental & Occupational Health 75 (4), 226-234, 2020
12020
Early identification of postpartum depression using machine learning
Y Nakamura, T Ueno, N Takahashi, D Ichikawa, A Yamauchi, N Ozaki
Psychiatry and Clinical Neurosciences 78 (6), 372, 2024
2024
Insomnia treatment assistance device, insomnia treatment assistance system, and insomnia treatment assistance program
T Ueno, D Ichikawa
US Patent App. 18/547,426, 2024
2024
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