| Tamper-resistant mobile health using blockchain technology D Ichikawa, M Kashiyama, T Ueno JMIR mHealth and uHealth 5 (7), e7938, 2017 | 310 | 2017 |
| 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 | 70 | 2016 |
| 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 | 55 | 2020 |
| 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 | 49 | 2020 |
| 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 | 45 | 2019 |
| 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 | 27 | 2018 |
| 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 | 27 | 2018 |
| 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 | |
| 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 | 16 | 2023 |
| 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 | |
| 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 | 13 | 2022 |
| 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 | 12 | 2017 |
| Tamper-Resistant Mobile Health Using Blockchain Technology. JMIR MHealth and UHealth, 5 (7), e111 D Ichikawa, M Kashiyama, T Ueno | 9 | 2017 |
| 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 | 5 | 2020 |
| 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 | 4 | 2016 |
| Spontaneous ignition temperature for the compacted mixture of Ni–Al system: Experiment, theory, and comparisons A Makino, D Ichikawa, A Matsumoto, T Kanda, T Watanabe Proceedings of the Combustion Institute 34 (2), 2197-2204, 2013 | 4 | 2013 |
| 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 | 3 | 2016 |
| 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 | 1 | 2022 |
| Security system and node device used in same T Ueno, D Ichikawa, M Mashiyama US Patent App. 16/604,697, 2020 | 1 | 2020 |
| 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 | 1 | 2020 |
