Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Hidehisa Soejima

Showing results (11-20 of 19) with videos related to

Pageof 2
Sort By:
You have reached the last page of results.This site can display upto 19 results.
Nihon Hinyokika Gakkai Zasshi. the Japanese Journal of Urology|August 12, 2009
[Multi-center study for standardisation of perioperative management of radical prostatectomy using clinical pathways]Yoshikatsu Nojiri, Kazuhiro Okumura, Tomoyasu Tsushima, et al.
Studies in Health Technology and Informatics|October 4, 2007
A Japanese model of disease managementNaoki Nakashima, Kunihisa Kobayashi, Toyoshi Inoguchi, et al.
Nihon Hinyokika Gakkai Zasshi. the Japanese Journal of Urology|June 15, 2007
[Questionnaire survey of peri-operative management of radical prostatectomy for the educational institutions of Japanese urological association]Kikuo Okamura, Hidehisa Soejima, Shiro Saito, et al.
Computer Methods and Programs in Biomedicine|December 27, 2021
Machine learning for classification of postoperative patient status using standardized medical dataTakanori Yamashita, Yoshifumi Wakata, Hideki Nakaguma, et al.
JMIR Medical Informatics|December 1, 2025
Identifying Key Variances in Clinical Pathways Associated With Prolonged Hospital Stays Using Machine Learning and ePath Real-World Data: Model Development and Validation StudySaori Tou, Koutarou Matsumoto, Asato Hashinokuchi, et al.
Therapeutic Apheresis and Dialysis : Official Peer-Reviewed Journal of the International Society for Apheresis, the Japanese Society for Apheresis, the Japanese Society for Dialysis Therapy|September 22, 2015
Cost-Effectiveness of Maintenance Hemodialysis in JapanTomoyuki Takura, Takeshi Nakanishi, Hideki Kawanishi, et al.
Learning Health Systems|April 18, 2025
Data-driven prediction of prolonged air leak after video-assisted thoracoscopic surgery for lung cancer: Development and validation of machine-learning-based models using real-world data through the ePath systemSaori Tou, Koutarou Matsumoto, Asato Hashinokuchi, et al.
Learning Health Systems|April 23, 2021
Impact of a learning health system on acute care and medical complications after intracerebral hemorrhageKoutarou Matsumoto, Yasunobu Nohara, Yoshifumi Wakata, et al.
Studies in Health Technology and Informatics|August 8, 2025
Evaluation of Federated Learning Using Standardized EHR Data in JapanKoutarou Matsumoto, Saori Tou, Yuta Nakamura, et al.
Pageof 2

Showing results (11-20 of 19) with videos related to

Sort By:
Pageof 2
You have reached the last page of results.This site can display upto 19 results.
Nihon Hinyokika Gakkai Zasshi. the Japanese Journal of Urology|August 12, 2009
[Multi-center study for standardisation of perioperative management of radical prostatectomy using clinical pathways]Yoshikatsu Nojiri, Kazuhiro Okumura, Tomoyasu Tsushima, et al.
Studies in Health Technology and Informatics|October 4, 2007
A Japanese model of disease managementNaoki Nakashima, Kunihisa Kobayashi, Toyoshi Inoguchi, et al.
Nihon Hinyokika Gakkai Zasshi. the Japanese Journal of Urology|June 15, 2007
[Questionnaire survey of peri-operative management of radical prostatectomy for the educational institutions of Japanese urological association]Kikuo Okamura, Hidehisa Soejima, Shiro Saito, et al.
Computer Methods and Programs in Biomedicine|December 27, 2021
Machine learning for classification of postoperative patient status using standardized medical dataTakanori Yamashita, Yoshifumi Wakata, Hideki Nakaguma, et al.
JMIR Medical Informatics|December 1, 2025
Identifying Key Variances in Clinical Pathways Associated With Prolonged Hospital Stays Using Machine Learning and ePath Real-World Data: Model Development and Validation StudySaori Tou, Koutarou Matsumoto, Asato Hashinokuchi, et al.
Therapeutic Apheresis and Dialysis : Official Peer-Reviewed Journal of the International Society for Apheresis, the Japanese Society for Apheresis, the Japanese Society for Dialysis Therapy|September 22, 2015
Cost-Effectiveness of Maintenance Hemodialysis in JapanTomoyuki Takura, Takeshi Nakanishi, Hideki Kawanishi, et al.
Learning Health Systems|April 18, 2025
Data-driven prediction of prolonged air leak after video-assisted thoracoscopic surgery for lung cancer: Development and validation of machine-learning-based models using real-world data through the ePath systemSaori Tou, Koutarou Matsumoto, Asato Hashinokuchi, et al.
Learning Health Systems|April 23, 2021
Impact of a learning health system on acute care and medical complications after intracerebral hemorrhageKoutarou Matsumoto, Yasunobu Nohara, Yoshifumi Wakata, et al.
Studies in Health Technology and Informatics|August 8, 2025
Evaluation of Federated Learning Using Standardized EHR Data in JapanKoutarou Matsumoto, Saori Tou, Yuta Nakamura, et al.
Pageof 2