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

Yasuo Yamao

Showing results (1-10 of 17) with videos related to

Pageof 2
Sort By:
STAR Protocols|May 6, 2023
Protocol to acquire time series data on adverse reactions following vaccination using a smartphone or web-based platformYasuo Yamao, Takehiko Oami, Eiryo Kawakami, et al.
Scientific Reports|January 11, 2024
Machine-learning model for predicting oliguria in critically ill patientsYasuo Yamao, Takehiko Oami, Jun Yamabe, et al.
Scientific Reports|July 28, 2022
Prediction algorithm for ICU mortality and length of stay using machine learningShinya Iwase, Taka-Aki Nakada, Tadanaga Shimada, et al.
Critical Care (London, England)|September 17, 2021
Trends in the incidence and outcome of sepsis using data from a Japanese nationwide medical claims database-the Japan Sepsis Alliance (JaSA) study groupTaro Imaeda, Taka-Aki Nakada, Nozomi Takahashi, et al.
BMC Infectious Diseases|May 23, 2024
Incidence and mortality of community-acquired and nosocomial infections in Japan: a nationwide medical claims database studyNozomi Takahashi, Taro Imaeda, Takehiko Oami, et al.
Scientific Reports|June 5, 2023
Prehospital stroke-scale machine-learning model predicts the need for surgical interventionYoichi Yoshida, Yosuke Hayashi, Tadanaga Shimada, et al.
Journal of Intensive Care|October 30, 2022
Short- versus long-course antibiotic therapy for sepsis: a post hoc analysis of the nationwide cohort studyNozomi Takahashi, Taro Imaeda, Taka-Aki Nakada, et al.
Scientific Reports|June 19, 2023
Machine learning algorithms for predicting days of high incidence for out-of-hospital cardiac arrestKaoru Shimada-Sammori, Tadanaga Shimada, Rie E Miura, et al.
Scientific Reports|August 26, 2022
Prehospital diagnostic algorithm for acute coronary syndrome using machine learning: a prospective observational studyMasahiko Takeda, Takehiko Oami, Yosuke Hayashi, et al.
Scientific Reports|October 16, 2021
A prehospital diagnostic algorithm for strokes using machine learning: a prospective observational studyYosuke Hayashi, Tadanaga Shimada, Noriyuki Hattori, et al.
Pageof 2

Showing results (1-10 of 17) with videos related to

Sort By:
Pageof 2
STAR Protocols|May 6, 2023
Protocol to acquire time series data on adverse reactions following vaccination using a smartphone or web-based platformYasuo Yamao, Takehiko Oami, Eiryo Kawakami, et al.
Scientific Reports|January 11, 2024
Machine-learning model for predicting oliguria in critically ill patientsYasuo Yamao, Takehiko Oami, Jun Yamabe, et al.
Scientific Reports|July 28, 2022
Prediction algorithm for ICU mortality and length of stay using machine learningShinya Iwase, Taka-Aki Nakada, Tadanaga Shimada, et al.
Critical Care (London, England)|September 17, 2021
Trends in the incidence and outcome of sepsis using data from a Japanese nationwide medical claims database-the Japan Sepsis Alliance (JaSA) study groupTaro Imaeda, Taka-Aki Nakada, Nozomi Takahashi, et al.
BMC Infectious Diseases|May 23, 2024
Incidence and mortality of community-acquired and nosocomial infections in Japan: a nationwide medical claims database studyNozomi Takahashi, Taro Imaeda, Takehiko Oami, et al.
Scientific Reports|June 5, 2023
Prehospital stroke-scale machine-learning model predicts the need for surgical interventionYoichi Yoshida, Yosuke Hayashi, Tadanaga Shimada, et al.
Journal of Intensive Care|October 30, 2022
Short- versus long-course antibiotic therapy for sepsis: a post hoc analysis of the nationwide cohort studyNozomi Takahashi, Taro Imaeda, Taka-Aki Nakada, et al.
Scientific Reports|June 19, 2023
Machine learning algorithms for predicting days of high incidence for out-of-hospital cardiac arrestKaoru Shimada-Sammori, Tadanaga Shimada, Rie E Miura, et al.
Scientific Reports|August 26, 2022
Prehospital diagnostic algorithm for acute coronary syndrome using machine learning: a prospective observational studyMasahiko Takeda, Takehiko Oami, Yosuke Hayashi, et al.
Scientific Reports|October 16, 2021
A prehospital diagnostic algorithm for strokes using machine learning: a prospective observational studyYosuke Hayashi, Tadanaga Shimada, Noriyuki Hattori, et al.
Pageof 2