Takaki Naito

7PUBLICATIONS
19CO-AUTHORS
Reinforcement learningInformation systems development methodologies and practiceContext learningPatient safetyInjury prevention
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Publications (7)

|Jul 17, 2026
Author's Reply: A Machine Learning Model for Predicting Short-Term Outcomes After Rapid Response System Activation.

|Feb 10, 2026
Development and 2025 re-evaluation of a Japanese quality indicator set for adult intensive care: a modified RAND/UCLA Delphi study.

Junji Kumasawa, Hiroshi Okamoto, Takaki Naito

|Aug 13, 2025
A machine learning model for predicting short-term outcomes after rapid response system activation.

Takaki Naito, Micheal Li, Shigeki Fujitani

|Aug 25, 2021
Prevalence and predictors of direct discharge home following hospitalization of patients with serious adverse events managed by the rapid response system in Japan: a multicenter, retrospective, observational study.

Takashi Hongo, Hiromichi Naito, Toshifumi Fujiwara

|May 24, 2021
Validation of National Early Warning Score for predicting 30-day mortality after rapid response system activation in Japan.

Takaki Naito, Kuniyoshi Hayashi, Hsiang-Chin Hsu

|Feb 21, 2020
How to facilitate a rapid response system in Japan: a promotion course based on TeamSTEPPS.

Shinsuke Fujiwara, Kazuaki Atagi, Megumi Moriyasu

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Frequent Collaborators

5 joint publications

Shigeki Fujitani

3 joint publications

Taka-Aki Nakada

1 joint publications

Shinsuke Fujiwara

1 joint publications

Alan Kawarai Lefor