Zobrazeno 1 - 10
of 40
pro vyhledávání: '"Ryosuke Matsuo"'
Autor:
Hieu Hanh Le, Tatsuhiro Yamada, Yuichi Honda, Takatoshi Sakamoto, Ryosuke Matsuo, Tomoyoshi Yamazaki, Kenji Araki, Haruo Yokota
Publikováno v:
ACM Transactions on Computing for Healthcare. 4:1-28
Electronic medical record systems have been adopted by many large hospitals worldwide, enabling the recorded data to be analyzed by various computer-based techniques to gain a better understanding of hospital-based disease treatments. Among such tech
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031124259
Autor:
Ryosuke Matsuo, Shinya Yasuda, Taichi Kumagai, Natsuhiko Sato, Hiroshi Yoshida, Takehisa Yairi
Publikováno v:
Advanced Robotics. 36:404-421
Publikováno v:
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences. :1546-1554
Autor:
Ryosuke Matsuo, Shin-ichi Minato
Publikováno v:
2022 Design, Automation & Test in Europe Conference & Exhibition (DATE).
Publikováno v:
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences. :1751-1759
Autor:
Shin-ichi Minato, Ryosuke Matsuo
Publikováno v:
ISVLSI
Optical logic circuits based on integrated nanophotonics have attracted significant interest due to their ultra-high-speed operation. Several researchers have studied a synthesis method based on the Binary Decision Diagram (BDD), as BDD-based optical
Autor:
Ryosuke Matsuo, Tu Bao Ho
Publikováno v:
Expert Systems with Applications. 114:543-551
Term weighting is an essential step to process textual data and generate input data (vector) for machine learning algorithms. In order to appropriately represent documents into computable forms for a certain task (such as text classification, cluster
Publikováno v:
Journal of medical systems. 45(6)
In Japan, since the Next Generation Medical Infrastructure Act regarding anonymized medical data contributing to R&D came into force in 2018, it is expected to exploit medical data for R&D. The Millennial Medical Record Project has been collected a l
Autor:
Hisayoshi Koga, Taisuke Ogawa, Suguru Nozue, Ryosuke Matsuo, Yoshiyuki Hasegawa, Muneo Kushima, Kenji Araki, Emi Okazaki
Publikováno v:
ISMVL
This research aims to utilize and promote the research and development in the medical field by establishing extraction techniques for patient information such as genetic test results, cancer stage classification, and side effects, which are strongly