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Naoki Nakashima

Showing results (11-20 of 149) with videos related to

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Research in Health Services & Regions|August 23, 2024
Regional difference in multi-psychotropic drug prescription in Japan and its associated factors: an ecological study using national health insurance claims dataTasuku Okui, Naoki Nakashima
Journal of Gynecology Obstetrics and Human Reproduction|August 15, 2024
Sociodemographic characteristics of non-institutional births and the association with neonatal and infant mortality in JapanTasuku Okui, Naoki Nakashima
BMC Public Health|May 28, 2024
Effects of the COVID-19 pandemic on the rates of adverse birth outcomes and fetal mortality in Japan: an analysis of national data from 2010 to 2022Tasuku Okui, Naoki Nakashima
Maternal Health, Neonatology and Perinatology|October 6, 2022
Analysis of association between low birth weight and socioeconomic deprivation level in Japan: an ecological study using nationwide municipal dataTasuku Okui, Naoki Nakashima
Children (Basel, Switzerland)|March 25, 2022
Differences in Rates of Low Birth Weight among Prefectures in Japan: An Ecological Study Using Government Statistics DataTasuku Okui, Naoki Nakashima
Journal of Preventive Medicine and Public Health = Yebang Uihakhoe Chi|August 8, 2022
Analysis of Differences in Preterm Birth Rates According to Household Occupation in Japan From 2007 to 2019Tasuku Okui, Naoki Nakashima
International Archives of Occupational and Environmental Health|April 11, 2024
Effects of ambient air pollution on the risk of small- and large-for-gestational-age births: an analysis using national birth data in JapanTasuku Okui, Naoki Nakashima
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 17, 2018
Interpretable Machine Learning Techniques for Causal Inference Using Balancing Scores as Meta-featuresYasunobu Nohara, Koji Iihara, Naoki Nakashima
Studies in Health Technology and Informatics|January 4, 2018
Extracting Predictive Indicator for Prognosis of Cerebral Infarction Using Machine Learning TechniquesYasunobu Nohara, Koutarou Matsumoto, Naoki Nakashima
Studies in Health Technology and Informatics|August 12, 2015
Interpreting Medical Information Using Machine Learning and Individual Conditional ExpectationYasunobu Nohara, Yoshifumi Wakata, Naoki Nakashima
Pageof 15

Showing results (11-20 of 149) with videos related to

Sort By:
Pageof 15
Research in Health Services & Regions|August 23, 2024
Regional difference in multi-psychotropic drug prescription in Japan and its associated factors: an ecological study using national health insurance claims dataTasuku Okui, Naoki Nakashima
Journal of Gynecology Obstetrics and Human Reproduction|August 15, 2024
Sociodemographic characteristics of non-institutional births and the association with neonatal and infant mortality in JapanTasuku Okui, Naoki Nakashima
BMC Public Health|May 28, 2024
Effects of the COVID-19 pandemic on the rates of adverse birth outcomes and fetal mortality in Japan: an analysis of national data from 2010 to 2022Tasuku Okui, Naoki Nakashima
Maternal Health, Neonatology and Perinatology|October 6, 2022
Analysis of association between low birth weight and socioeconomic deprivation level in Japan: an ecological study using nationwide municipal dataTasuku Okui, Naoki Nakashima
Children (Basel, Switzerland)|March 25, 2022
Differences in Rates of Low Birth Weight among Prefectures in Japan: An Ecological Study Using Government Statistics DataTasuku Okui, Naoki Nakashima
Journal of Preventive Medicine and Public Health = Yebang Uihakhoe Chi|August 8, 2022
Analysis of Differences in Preterm Birth Rates According to Household Occupation in Japan From 2007 to 2019Tasuku Okui, Naoki Nakashima
International Archives of Occupational and Environmental Health|April 11, 2024
Effects of ambient air pollution on the risk of small- and large-for-gestational-age births: an analysis using national birth data in JapanTasuku Okui, Naoki Nakashima
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 17, 2018
Interpretable Machine Learning Techniques for Causal Inference Using Balancing Scores as Meta-featuresYasunobu Nohara, Koji Iihara, Naoki Nakashima
Studies in Health Technology and Informatics|January 4, 2018
Extracting Predictive Indicator for Prognosis of Cerebral Infarction Using Machine Learning TechniquesYasunobu Nohara, Koutarou Matsumoto, Naoki Nakashima
Studies in Health Technology and Informatics|August 12, 2015
Interpreting Medical Information Using Machine Learning and Individual Conditional ExpectationYasunobu Nohara, Yoshifumi Wakata, Naoki Nakashima
Pageof 15