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Shinichiroh Yokota

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Japan Journal of Nursing Science : JJNS|April 5, 2016
Construction and evaluation of FiND, a fall risk prediction model of inpatients from nursing dataShinichiroh Yokota, Kazuhiko Ohe
Studies in Health Technology and Informatics|June 3, 2018
Can Staff Distinguish Falls: Experimental Hypothesis Verification Using Japanese Incident Reports and Natural Language ProcessingShinichiroh Yokota, Emiko Shinohara, Kazuhiko Ohe
Computers, Informatics, Nursing : CIN|August 5, 2022
Research Types and New Trends on the Omaha System Published From 2012 to 2019: A Scoping ReviewAi Tomotaki, Taiki Iwamoto, Shinichiroh Yokota
Computers, Informatics, Nursing : CIN|August 12, 2017
Establishing a Classification System for High Fall-Risk Among Inpatients Using Support Vector MachinesShinichiroh Yokota, Miyoko Endo, Kazuhiko Ohe
International Journal of Medical Informatics|December 3, 2024
Development of a code system for allergens and its integration into the HL7 FHIR AllergyIntolerance resourceYoshimasa Kawazoe, Satomi Nagashima, Shinichiroh Yokota, et al.
Journal of Nursing Care Quality|December 23, 2017
Evaluating the Effectiveness of a Fall Risk Screening Tool Implemented in an Electronic Medical Record SystemShinichiroh Yokota, Ai Tomotaki, Ohmi Mohri, et al.
Studies in Health Technology and Informatics|June 23, 2016
Evaluation of a Fall Risk Prediction Tool Using Large-Scale DataShinichiroh Yokota, Ai Tomotaki, Ohmi Mohri, et al.
Clinical Chemistry and Laboratory Medicine|February 8, 2020
Highly accurate and explainable detection of specimen mix-up using a machine learning modelTomohiro Mitani, Shunsuke Doi, Shinichiroh Yokota, et al.
Research in Nursing & Health|June 2, 2024
Nursing researchers' concern about research activities during the COVID-19 pandemic: A secondary analysis of longitudinal survey data in JapanMiwa Mitoma, Makiko Tanaka, Yoko Shimpuku, et al.
Computers, Informatics, Nursing : CIN|May 15, 2021
Automatic Classification of Electronic Nursing Narrative Records Based on Japanese Standard Terminology for NursingMiwa Aoki, Shinichiroh Yokota, Rina Kagawa, et al.
Pageof 2

Showing results (1-10 of 19) with videos related to

Sort By:
Pageof 2
Japan Journal of Nursing Science : JJNS|April 5, 2016
Construction and evaluation of FiND, a fall risk prediction model of inpatients from nursing dataShinichiroh Yokota, Kazuhiko Ohe
Studies in Health Technology and Informatics|June 3, 2018
Can Staff Distinguish Falls: Experimental Hypothesis Verification Using Japanese Incident Reports and Natural Language ProcessingShinichiroh Yokota, Emiko Shinohara, Kazuhiko Ohe
Computers, Informatics, Nursing : CIN|August 5, 2022
Research Types and New Trends on the Omaha System Published From 2012 to 2019: A Scoping ReviewAi Tomotaki, Taiki Iwamoto, Shinichiroh Yokota
Computers, Informatics, Nursing : CIN|August 12, 2017
Establishing a Classification System for High Fall-Risk Among Inpatients Using Support Vector MachinesShinichiroh Yokota, Miyoko Endo, Kazuhiko Ohe
International Journal of Medical Informatics|December 3, 2024
Development of a code system for allergens and its integration into the HL7 FHIR AllergyIntolerance resourceYoshimasa Kawazoe, Satomi Nagashima, Shinichiroh Yokota, et al.
Journal of Nursing Care Quality|December 23, 2017
Evaluating the Effectiveness of a Fall Risk Screening Tool Implemented in an Electronic Medical Record SystemShinichiroh Yokota, Ai Tomotaki, Ohmi Mohri, et al.
Studies in Health Technology and Informatics|June 23, 2016
Evaluation of a Fall Risk Prediction Tool Using Large-Scale DataShinichiroh Yokota, Ai Tomotaki, Ohmi Mohri, et al.
Clinical Chemistry and Laboratory Medicine|February 8, 2020
Highly accurate and explainable detection of specimen mix-up using a machine learning modelTomohiro Mitani, Shunsuke Doi, Shinichiroh Yokota, et al.
Research in Nursing & Health|June 2, 2024
Nursing researchers' concern about research activities during the COVID-19 pandemic: A secondary analysis of longitudinal survey data in JapanMiwa Mitoma, Makiko Tanaka, Yoko Shimpuku, et al.
Computers, Informatics, Nursing : CIN|May 15, 2021
Automatic Classification of Electronic Nursing Narrative Records Based on Japanese Standard Terminology for NursingMiwa Aoki, Shinichiroh Yokota, Rina Kagawa, et al.
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