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Postnatal care could be the key to improving the continuum of care in maternal and child health in Ratanakiri, Cambodia
The need for efforts to reduce the number of women who discontinue from the continuum of care, as well as who do not receive any care to avoid neonatal complications, is indicated and the need for a village-based health care system that can provide the basic continuum of Care in remote areas is suggested.
Mobile activity recognition for a whole day: recognizing real nursing activities with big dataset
A real nursing data set for mobile activity recognition that can be used for supervised machine learning, and big data combined the patient medical records and sensors attempted for 2 years is provided, and a method for recognizing activities for a whole day utilizing prior knowledge about the activity segments in a day is proposed.
Health Checkup and Telemedical Intervention Program for Preventive Medicine in Developing Countries: Verification Study
The results of this study demonstrate the benefits of an eHealth checkup and teleconsultation program as an effective health care system in developing countries and propose a cost-effective method using a machine learning technique (random forest method) to avoid costly measurements of blood sugar.
A Secure High-Speed Identification Scheme for RFID Using Bloom Filters
- Yasunobu Nohara, Sozo Inoue, H. Yasuura
- Computer ScienceThird International Conference on Availability…
- 4 March 2008
This paper proposes an efficient identification scheme using Bloom filters, which are space-efficient probabilistic data structures that provides a high-speed identification with a small amount of memory by storing pre-calculated outputs of the tags in Bloom filters.
Targeting Morbidity in Unreached Communities Using Portable Health Clinic System
- Ashir Ahmed, A. Rebeiro-Hargrave, Yasunobu Nohara, E. Kai, Zahidul Hossein Ripon, N. Nakashima
- MedicineIEICE Trans. Commun.
- 1 March 2014
The experiment results show a decrease in patients to identify as morbid among those who participated in telemedicine process, and the effectiveness of the portable health clinic system to target morbidity was tested.
Interpreting Medical Information Using Machine Learning and Individual Conditional Expectation
A method of interpreting medical information using machine learning technique is introduced and new explanation of partial dependence plot and individual conditional expectation plot from medical research field is given.
Stroke Prognostic Scores and Data-Driven Prediction of Clinical Outcomes After Acute Ischemic Stroke
- Koutarou Matsumoto, Yasunobu Nohara, H. Soejima, T. Yonehara, N. Nakashima, M. Kamouchi
- Medicine, PsychologyStroke
- 25 March 2020
Stroke prognostic scores perform well in predicting clinical outcomes after stroke and data-driven models may be an alternative tool for predicting poststroke clinical outcomes in a real-world setting.
Location Recognition in RFID Bookshelves
- Sozo Inoue, Yasunobu Nohara, Takemori Masaki, K. Sakuragawa
- BusinessIEICE Trans. Inf. Syst.
- 1 June 2011
This paper proposes a method to improve the location detection using naive Bayes classifer, and shows the experimental result, which is less dependent of a change of layouts and a difference of books by leave-1-layout/book-out cross validation.
Quantitative evaluation of unlinkable ID matching schemes
The K-steps ID matching scheme is proposed, which can reduce the number of the hash calculations on the server to O(log N), and a quantification of unlinkability using conditional entropy and mutual information is proposed.
Lessons Learned from Co-Design and Co-Production in a Portable Health Clinic Research Project in Jaipur District, India (2016–2018)
Co-design and co-production with non-academic stakeholders has been recognized as a key approach in transdisciplinary sustainability research. The majority of transdisciplinary studies have been…