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Hiromichi Matsuoka

Biographic Data

ID7973665
NAMEHiromichi Matsuoka
GIVEN NAMESHiromichi
FAMILY NAMEMatsuoka
SIGNATUREMATSUOKA H
AFFILIATIONSKindai University
ORCID0000-0002-7276-1971
VERIFIEDYes
TOTAL WORKS5
TOTAL CITATIONS0
AUTHOR COUNT5
EDITOR COUNT0
FIRST PUBLICATION YEAR2016
LATEST PUBLICATION YEAR2023
H-INDEX0
  • Data-driven categorization of postoperative delirium symptoms using unsupervised machine learning

    Open Access•Panyawut Sri-iesaranusorn, Ryoichi Sadahiro et al.•ARTICLE•Frontiers in Psychiatry•2023

    We found that patients who have undergone invasive cancer resection can be delineated using unsupervised machine learning into three delirium clusters, two subsyndromal delirium clusters, and an insomnia cluster. Validation of clusters and research into the pathophysiology underlying each cluster will help to elucidate the mechanisms of postoperative delirium after invasive cancer surgery

  • The Immediate Effect of Trigger Point Injection With Local Anesthetic Affects the Subsequent Course of Pain in Myofascial Pain Syndrome in Patients With Incurable Cancer by Setting Expectations as a M…

    Open Access•Hideaki Hasuo, Hiromichi Matsuoka et al.•ARTICLE•Frontiers in Psychiatry•2021

    A trigger point injection (TPI) with local anesthetic in myofascial pain syndrome (MPS) often has the immediate effect of a decrease in pain. It is unknown whether the immediate effect of a decrease in pain affects the subsequent course of pain. It is also unknown whether expectations of a decrease in pain mediate such effects. We aimed to clarify how the effect of a decrease in pain immediately after TPI with local anesthetic affected the subseq…

  • Avoiding diagnostic errors in psychosomatic medicine

    Open Access•Asuka Koyama, Pélagie M Beeson et al.•ARTICLE•BioPsychoSocial Medicine•2018

    This study showed that multiple factors related to misdiagnoses were combined and had a mutual influence. However, they can be summarized into two important clinical observations, diagnostic system-related problems and provider issues. Provider issues contain mainly cognitive biases such as Anchoring, Availability, Confirmation bias, Delayed diagnosis, and Representativeness. In order to avoid diagnostic errors, both a diagnostic system approach …

  • The physical and psychological problems of immigrants to Japan who require psychosomatic care

    Open Access•Asuka Koyama, Hirokuni Okumi et al.•ARTICLE•BioPsychoSocial Medicine•2016

    BACKGROUND: As the number of immigrants to Japan increases, the health problems of foreign nationals also have an increasing impact on Japanese medical institutions. The aim of this study was to clarify the Japan-specific health problems related to both the physical and psychological symptoms of foreign nationals from the viewpoint of psychosomatic medicine. The second aim was to clarify the measures that should be taken in Japan and similar coun…

  • Gender differences in cancer-related distress in Japan

    Open Access•Asuka Koyama, Hiromichi Matsuoka et al.•ARTICLE•BioPsychoSocial Medicine•2016

    BACKGROUND: Cancer care is currently the most important medical issue in Japan. Total pain of cancer patients consists of a combination of four factors: physical, psychological, social distress, and spiritual pain. Previous studies showed female cancer patients ask for more psychological support and seem to suffer different types of distress compared with male patients, for example, appearance-related symptoms. However, other factors of cancer di…

No prominent works on this page.

  • The physical and psychological problems of immigrants to Japan who require psychosomatic care

    Open Access•Asuka Koyama, Hirokuni Okumi et al.•ARTICLE•BioPsychoSocial Medicine•2016

    BACKGROUND: As the number of immigrants to Japan increases, the health problems of foreign nationals also have an increasing impact on Japanese medical institutions. The aim of this study was to clarify the Japan-specific health problems related to both the physical and psychological symptoms of foreign nationals from the viewpoint of psychosomatic medicine. The second aim was to clarify the measures that should be taken in Japan and similar coun…

  • Gender differences in cancer-related distress in Japan

    Open Access•Asuka Koyama, Hiromichi Matsuoka et al.•ARTICLE•BioPsychoSocial Medicine•2016

    BACKGROUND: Cancer care is currently the most important medical issue in Japan. Total pain of cancer patients consists of a combination of four factors: physical, psychological, social distress, and spiritual pain. Previous studies showed female cancer patients ask for more psychological support and seem to suffer different types of distress compared with male patients, for example, appearance-related symptoms. However, other factors of cancer di…

  • Avoiding diagnostic errors in psychosomatic medicine

    Open Access•Asuka Koyama, Pélagie M Beeson et al.•ARTICLE•BioPsychoSocial Medicine•2018

    This study showed that multiple factors related to misdiagnoses were combined and had a mutual influence. However, they can be summarized into two important clinical observations, diagnostic system-related problems and provider issues. Provider issues contain mainly cognitive biases such as Anchoring, Availability, Confirmation bias, Delayed diagnosis, and Representativeness. In order to avoid diagnostic errors, both a diagnostic system approach …

  • The Immediate Effect of Trigger Point Injection With Local Anesthetic Affects the Subsequent Course of Pain in Myofascial Pain Syndrome in Patients With Incurable Cancer by Setting Expectations as a M…

    Open Access•Hideaki Hasuo, Hiromichi Matsuoka et al.•ARTICLE•Frontiers in Psychiatry•2021

    A trigger point injection (TPI) with local anesthetic in myofascial pain syndrome (MPS) often has the immediate effect of a decrease in pain. It is unknown whether the immediate effect of a decrease in pain affects the subsequent course of pain. It is also unknown whether expectations of a decrease in pain mediate such effects. We aimed to clarify how the effect of a decrease in pain immediately after TPI with local anesthetic affected the subseq…

  • Data-driven categorization of postoperative delirium symptoms using unsupervised machine learning

    Open Access•Panyawut Sri-iesaranusorn, Ryoichi Sadahiro et al.•ARTICLE•Frontiers in Psychiatry•2023

    We found that patients who have undergone invasive cancer resection can be delineated using unsupervised machine learning into three delirium clusters, two subsyndromal delirium clusters, and an insomnia cluster. Validation of clusters and research into the pathophysiology underlying each cluster will help to elucidate the mechanisms of postoperative delirium after invasive cancer surgery

Medicine (4 works) · Psychiatry (3 works) · Cancer (2 works) · Cancer pain (2 works) · Clinical Psychology (2 works) · Internal Medicine (2 works) · Psychology (2 works) · Acupuncture Treatment Research Studies (1 works) · Anesthesia (1 works) · Anesthesia and Neurotoxicity Research (1 works)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae