Papers - Yahagi, Naohisa

Novel Approach for Detecting Respiratory Syncytial Virus in Pediatric Patients Using Machine Learning Models Based on Patient-Reported Symptoms: Model Development and Validation Study

Shota Kawamoto, Yoshihiko Morikawa, Naohisa Yahagi

JMIR FORMATIVE RESEARCH  2024.04

Research paper (scientific journal), Last author, Corresponding author, Accepted

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Background: Respiratory syncytial virus (RSV) affects children, causing serious infections, particularly in high-risk groups.
Given the seasonality of RSV and the importance of rapid isolation of infected individuals, there is an urgent need for more efficient diagnostic methods to expedite this process.
Objective: This study aimed to investigate the performance of a machine learning model that leverages the temporal diversity of symptom onset for detecting RSV infections and elucidate its discriminatory ability.
Methods: The study was conducted in pediatric and emergency outpatient settings in Japan. We developed a detection model that remotely confirms RSV infection based on patient-reported symptom information obtained using a structured electronic template incorporating the differential points of skilled pediatricians. An extreme gradient boosting–based machine learning model was developed using the data of 4174 patients aged ≤24 months who underwent RSV rapid antigen testing. These patients visited either the pediatric or emergency department of Yokohama City Municipal Hospital between January 1, 2009, and December 31, 2015. The primary outcome was the diagnostic accuracy of the machine learning model for RSV infection, as determined by rapid antigen testing, measured using the area under the receiver operating characteristic curve. The clinical efficacy was evaluated by calculating the discriminative performance based on the number of days elapsed since the onset of the first symptom and exclusion rates based on thresholds of reasonable sensitivity and specificity.
Results: Our model demonstrated an area under the receiver operating characteristic curve of 0.811 (95% CI 0.784-0.833) with good calibration and 0.746 (95% CI 0.694-0.794) for patients within 3 days of onset. It accurately captured the temporal evolution of symptoms; based on adjusted thresholds equivalent to those of a rapid antigen test, our model predicted that 6.9% (95% CI 5.4%-8.5%) of patients in the entire cohort would be positive and 68.7% (95% CI 65.4%-71.9%) would be negative. Our model could eliminate the need for additional testing in approximately three-quarters of all patients.
Conclusions: Our model may facilitate the immediate detection of RSV infection in outpatient settings and, potentially, in home environments. This approach could streamline the diagnostic process, reduce discomfort caused by invasive tests in children, and allow rapid implementation of appropriate treatments and isolation at home. The findings underscore the potential of machine learning in augmenting clinical decision-making in the early detection of RSV infection.

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Effectiveness of Clinical Management of COVID-19 Based on Structured Clinical Knowledge and Process Paths

Tsuru S, Tamamoto T, Nakao A, Machida Y, Tanizaki K, Yahagi N.

Studies in Health Technology and Informatics 310   359 - 363 2024.01

Research paper (scientific journal), Last author, Accepted

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The Impact of Cold Ambient Temperature in the Pattern of Influenza Virus Infection

Eri M, Shota K, Yoshihiko M, Naohisa Y

Open Forum Infectious Diseases (Oxford University Press)  10 ( 2 ) 1 - 6 2023.01

Research paper (scientific journal), Joint Work, Last author, Corresponding author, Accepted

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Abstract
Background: Prior literature suggests that cold temperature strongly influences the immune function of animals and human behaviors, which may allow for the transmission of respiratory viral infections. However, information on the impact of cold stimuli, especially the impact of temporal change in the ambient temperature on influenza virus transmission, is limited.
Methods: A susceptible-infected-recovered-susceptible model was applied to evaluate the effect of temperature change on influenza virus transmission.
Results: The mean temperature of the prior week was positively associated with the number of newly diagnosed cases (0.107 [95% Bayesian credible interval {BCI}, .106-.109]), whereas the mean difference in the temperature of the prior week was negatively associated (-0.835 [95% BCI, -.840 to -.830]). The product of the mean temperature and mean difference in the temperature of the previous week were also negatively associated with the number of newly diagnosed cases (-0.192 [95% BCI, -.197 to -.187]).
Conclusions: The mean temperature and the mean difference in temperature affected the number of newly diagnosed influenza cases differently. Our data suggest that high ambient temperature and a drop in the temperature and their interaction increase the risk of infection. Therefore, the highest risk of infection is attributable to a steep fall in temperature in a relatively warm environment.
Keywords: SIRS model; cold stimuli; influenza.

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Patient Data Sharing and Reduction of Overtime Work of Nurses by Innovation of Nursing Records Using Structured Clinical Knowledge

Satoko Tsuru, Tetsuro Tamamoto, Akihiro Nakao, Kouichi Tanizaki, Naohisa Yahagi

Studies in Health Technology and Informatics 294   525 - 529 2022.05

Research paper (scientific journal), Joint Work, Last author, Accepted

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脳血管疾患後のリハビリテーションにおける標準的なリハビリ計画作成手法の開発

加藤省吾，水流聡子，井手睦，進藤晃, 矢作尚久, 山田秀

日本臨床知識学会誌 2   44 - 45 2021

Research paper (scientific journal), Joint Work, Accepted

A Prototype Method for Selecting Interventions for Enhancing Medication Adherence in Medicine Taking Processes.

Hirokazu S, Norikazu H, Eri A,Masahiko H and Naohisa Y

Journal of Chemical Engineering of Japan 54 ( 4-7 ) 152 - 161 2021

Research paper (scientific journal), Joint Work, Last author, Accepted

CONTINUOUS STANDARDIZATION OF REHABILITATION AFTER CEREBROVASCULAR DISEASES

Shogo Kato, Satoko Tsuru, Makoto Ide, Akira Shindo, Naohisa Yahagi, Shu Yamada

Proc. of the 64th EOQ Congress, CD-ROM 64   10 2021.06

Research paper (international conference proceedings), Joint Work, Accepted

Assessment criteria of palliative care development in hospitals to promote spreading of highly qualified palliative care

Arisa Kaneko, Tatsunori Hara, Satoko Tsuru, Kouichi Tanizaki, Naohisa Yahagi, Masashi Kato, Fumihiko Wakao, Toshiaki Shinomiya, Tetsuro Tamamoto

Asian Network for Quality Congress, Scientific paper  ( 18 )  2020

Research paper (international conference proceedings), Joint Work, Accepted

Nursing Record Innovations Aimed at Harmonizing Structured Clinical Knowledge among Doctors and Nurses“Digital Personalized Health and Medicine

Satoko Tsuru, Tetsuro Tamamotob, Hitoshi Furuya, Akihiro Nakao, Mari Fukuyama, Kouichi Tanizaki, Naohisa Yahagi

Studies in Health Technology and Informatics 270   638 - 642 2020

Research paper (scientific journal), Joint Work, Last author, Corresponding author, Accepted

A Method to Visualize the Thought Processes of Doctors Formulating the Strategy to Prescribe the Proper Medicine for Patients

Momoko Nishioka, Satoko Tsuru, Takashi Motegi, Tatsunori Hara, Akihiro Nakao, Naohisa Yahagi

Asian Network for Quality Congress, Scientific paper  ( 17 )  2019

Research paper (international conference proceedings), Joint Work, Last author, Corresponding author, Accepted

Reduction of Overwork Time of Nurses by Innovation of Nursing Records using Structured Clinical Knowledge

Satoko TSURU, Akihiro Nakao, Naohisa Yahagi, Kouichi Tanizaki, Kumiko Sudo, Shizuka Morimatsu, Tomomi Takaki, Nobuko Takakusaki, Tomoko Higashi, Keiko Nakashige, Miyuki

International Medical Informatics Association (IMIA) and IOS Press 264   1061 - 1064 2019

Research paper (international conference proceedings), Joint Work, Accepted

Design of a complication management process for inpatients with dementia

Ayami Ozaki , Satoko Tsuru, Yutaka Machida, Hara Tatsunori, Nakao Akihiro, Naohisa Yahagi

Asian Network for Quality Congress, Scientific paper  ( 17 )  2019

Research paper (international conference proceedings), Joint Work, Last author, Corresponding author, Accepted

Digitalization Aiming at Solving Problems with Overtime Work in Health Care: Significance of Reduction of Overwork Time of Nurses by Innovation of Nursing Records

Satoko TSURU, Naohisa Yahagi, Akihiro NAKAO, Koichi TANIZAKI

Asian Network for Quality Congress, Scientific paper  ( 16 )  2018

Research paper (international conference proceedings), Joint Work, Accepted

小児医療情報収集基盤を用いた臨床研究の可能性：チアマゾール処方患者に対する観察研究

加藤省吾, 森川和彦, 中野孝介, 小笠原尚久, 三井誠二, 栗山猛, 矢作尚久

日本小児臨床薬理学会誌  ( 31 ) 22 - 26 2018

Research paper (scientific journal), Joint Work, Last author, Corresponding author, Accepted

Development of a regional health and medical care system for child of elementary schools based on collaboration of four organizations

Satoko Tsuru, Maki Kariyazaki, Naohisa Yahagi, Takanori Motoki, Masako Fujiwara, Hitoshi Mio

Asian Network for Quality Congress, Scientific paper CD-ROM  ( 13 )  2017

Research paper (international conference proceedings), Joint Work, Accepted

JACHRI会員施設における臨床研究の支援・教育体制および連携ニーズの調査

矢作 尚久,石黒精, 呉繁夫, 賀藤均, 森臨太郎

日本小児科学会雑誌 120 ( 2 ) 219 2016.02

Research paper (scientific journal), Joint Work, Accepted

Needs Assessment for Collaborative Network in Pediatric Clinical Research and Education.

Ishiguro A, Yahagi N, Sasaki H, Kato H, Mori R

Pediatrics International 59 ( 1 ) 74 - 79 2016

Research paper (scientific journal), Joint Work, Accepted

Development of a Management System for Rehabilitation Intervention Processes in Hospitals

Shogo Kato, Matoko Ide, Satoko Tsuru, Yoshinori Iizuka, Naohisa Yahagi

Proc. of the 60th EOQ Congress  ( 60 )  2016

Research paper (international conference proceedings), Joint Work, Last author, Corresponding author, Accepted

Cleidocranial dysplasia plus vascular anomalies with 6p21.2 microdeletion spanning RUNX2 and VEGF

Kosuke Izumi, Naohisa Yahagi, Yasushi Fujii, Masataka Higuchi, Rika Kosaki, Yoko Naito, Gen Nishimura, Noboru Hosokai, Takao Takahashi, Kenjiro Kosaki

The American Journal of Medical Genetics 140 ( 4 ) 398 - 401 2006.02

Research paper (scientific journal), Joint Work, Accepted

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Effects of methylenetetrahydrofolate reductase and reduced folate carrier 1 polymorphisms on high-dose methotrexate-induced toxicities in children with acute lymphoblastic leukemia or lymphoma

Noriko Shimasaki, Tetsuya Mori, Hazuki Samejima, Reiko Sato, Hiroyuki Shimada, Naohisa Yahagi, Chiharu Torii, Hiroki Yoshihara, Yusuke Tanigawara, Takao Takahashi, Kenjiro Kosaki

Journal of Pediatric Hematology/Oncology 28 ( 2 ) 64 - 68 2006.02

Research paper (scientific journal), Accepted

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Position-specific expression of Hox genes along the gastrointestinal tract

Naohisa Yahagi, Rika Kosaki, Taichi Ito, Takayuki Mitsuhashi, Hiroyuki Shimada, Masaru Tomita, Takao Takahashi, Kenjiro Kosaki

Congenital anomalies 44 ( 1 ) 18 - 26 2004.03

Research paper (scientific journal), Joint Work, Lead author, Accepted,  ISSN  0914-3505

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Ampdirectを用いた全血の直接PCR法とHLAクラスII遺伝子DNAタイピング

杉浦恵子，篠塚達雄，武井節子，高田哲也，矢作尚久，富田明代，村井達哉，柳田純一

法医の実際と研 40   13 - 17 1997.12

Research paper (scientific journal), Joint Work, Accepted