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Satoru Kodama

Biographic Data

ID5502186
NAMESatoru Kodama
GIVEN NAMESSatoru
FAMILY NAMEKodama
SIGNATUREKODAMA S
AFFILIATIONSUniversity of Tsukuba
ORCID0000-0002-9521-7274
VERIFIEDYes
TOTAL WORKS4
TOTAL CITATIONS1
WORKS AS AUTHOR4
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2009
LATEST PUBLICATION YEAR2023
H-INDEX1
  • Machine learning approach to predict body weight in adults

    Open Access•Kazuya Fujihara, Ilídia da Ascenção Garrido Martins Juras et al.•ARTICLE•Frontiers in Public Health•2023

    The HMLT-based machine learning model could successfully predict weight change over 3 years. Our model could automatically identify groups whose lifestyle profoundly impacted weight loss and factors the influenced body weight change in individuals. Although this model must be validated in other populations, including other ethnic groups, before being widely implemented in global clinical settings, results suggested that this machine learning mode…

  • Impact on short-term glycaemic control of initiating diabetes care versus leaving diabetes untreated among individuals with newly screening-detected diabetes in Japan

    Yoriko Heianza, Akiko Suzuki et al.•ARTICLE•Journal of Epidemiology and…•2014•Cited by: 1•References: 25

    BACKGROUND: The impact of early initiation of diabetes care soon after the identification of hyperglycaemia rather than leaving diabetes untreated on changes in glycaemic control has not been fully clarified. We aimed to quantify the effect of initiating and continuing diabetes care compared with not starting management of diabetes on short-term changes in glycaemic control among the Japanese with newly screening-detected diabetes. METHODS: We re…

  • Quality of Internet information related to the Mediterranean diet

    Open Access•Reiko Hirasawa, Kazumi Saito et al.•ARTICLE•Public Health Nutrition•2012

    Objective The present study aimed to evaluate the quality of Internet information on the Mediterranean diet and to determine the relationship between the quality of information and the website source. Design Website sources were categorized as institutional, pharmaceutical, non-pharmaceutical commercial, charitable, support and alternative medicine. Content quality was evaluated using the DISCERN rating instrument, the Health On the Net Foundatio…

  • Cardiorespiratory Fitness as a Quantitative Predictor of All-Cause Mortality and Cardiovascular Events in Healthy Men and Women

    Satoru Kodama•ARTICLE•JAMA•2009

    CONTEXT: Epidemiological studies have indicated an inverse association between cardiorespiratory fitness (CRF) and coronary heart disease (CHD) or all-cause mortality in healthy participants. OBJECTIVE: To define quantitative relationships between CRF and CHD events, cardiovascular disease (CVD) events, or all-cause mortality in healthy men and women. DATA SOURCES AND STUDY SELECTION: A systematic literature search was conducted for observational…

  • Impact on short-term glycaemic control of initiating diabetes care versus leaving diabetes untreated among individuals with newly screening-detected diabetes in Japan

    Yoriko Heianza, Akiko Suzuki et al.•ARTICLE•Journal of Epidemiology and…•2014•Cited by: 1•References: 25

    BACKGROUND: The impact of early initiation of diabetes care soon after the identification of hyperglycaemia rather than leaving diabetes untreated on changes in glycaemic control has not been fully clarified. We aimed to quantify the effect of initiating and continuing diabetes care compared with not starting management of diabetes on short-term changes in glycaemic control among the Japanese with newly screening-detected diabetes. METHODS: We re…

  • Cardiorespiratory Fitness as a Quantitative Predictor of All-Cause Mortality and Cardiovascular Events in Healthy Men and Women

    Satoru Kodama•ARTICLE•JAMA•2009

    CONTEXT: Epidemiological studies have indicated an inverse association between cardiorespiratory fitness (CRF) and coronary heart disease (CHD) or all-cause mortality in healthy participants. OBJECTIVE: To define quantitative relationships between CRF and CHD events, cardiovascular disease (CVD) events, or all-cause mortality in healthy men and women. DATA SOURCES AND STUDY SELECTION: A systematic literature search was conducted for observational…

  • Quality of Internet information related to the Mediterranean diet

    Open Access•Reiko Hirasawa, Kazumi Saito et al.•ARTICLE•Public Health Nutrition•2012

    Objective The present study aimed to evaluate the quality of Internet information on the Mediterranean diet and to determine the relationship between the quality of information and the website source. Design Website sources were categorized as institutional, pharmaceutical, non-pharmaceutical commercial, charitable, support and alternative medicine. Content quality was evaluated using the DISCERN rating instrument, the Health On the Net Foundatio…

  • Impact on short-term glycaemic control of initiating diabetes care versus leaving diabetes untreated among individuals with newly screening-detected diabetes in Japan

    Yoriko Heianza, Akiko Suzuki et al.•ARTICLE•Journal of Epidemiology and…•2014•Cited by: 1•References: 25

    BACKGROUND: The impact of early initiation of diabetes care soon after the identification of hyperglycaemia rather than leaving diabetes untreated on changes in glycaemic control has not been fully clarified. We aimed to quantify the effect of initiating and continuing diabetes care compared with not starting management of diabetes on short-term changes in glycaemic control among the Japanese with newly screening-detected diabetes. METHODS: We re…

  • Machine learning approach to predict body weight in adults

    Open Access•Kazuya Fujihara, Ilídia da Ascenção Garrido Martins Juras et al.•ARTICLE•Frontiers in Public Health•2023

    The HMLT-based machine learning model could successfully predict weight change over 3 years. Our model could automatically identify groups whose lifestyle profoundly impacted weight loss and factors the influenced body weight change in individuals. Although this model must be validated in other populations, including other ethnic groups, before being widely implemented in global clinical settings, results suggested that this machine learning mode…

Medicine (3 works) · Internal Medicine (2 works) · Cardiorespiratory fitness (1 work) · Cardiovascular and exercise physiology (1 work) · Cardiovascular Effects of Exercise (1 work) · Case fatality rate (1 work) · Coastal and Marine Management (1 work) · Cohort study (1 work) · Computer Science (1 work) · Context (archaeology) (1 work)

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