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Momoko Kitazawa

Showing results (11-20 of 37) with videos related to

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Plos One|September 11, 2020
Using speech recognition technology to investigate the association between timing-related speech features and depression severityMao Yamamoto, Akihiro Takamiya, Kyosuke Sawada, et al.
Comprehensive Psychiatry|March 8, 2020
Evaluating the severity of depressive symptoms using upper body motion captured by RGB-depth sensors and machine learning in a clinical interview setting: A preliminary studyToshiro Horigome, Brian Sumali, Momoko Kitazawa, et al.
Psychiatry and Clinical Neurosciences|December 29, 2022
Language patterns in Japanese patients with Alzheimer disease: A machine learning approachYuki Momota, Kuo-Ching Liang, Toshiro Horigome, et al.
Health and Quality of Life Outcomes|October 13, 2019
Survey of the effects of internet usage on the happiness of Japanese university studentsMomoko Kitazawa, Michitaka Yoshimura, Hidefumi Hitokoto, et al.
Scientific Reports|August 3, 2022
Identifying neurocognitive disorder using vector representation of free conversationToshiro Horigome, Kimihiro Hino, Hiroyoshi Toyoshiba, et al.
Metabolism Open|December 11, 2023
Associations between glycemic variability, sleep quality, and daily steps in subjects without diabetes using wearable devicesJun Inaishi, Kazuhiro Kashiwagi, Shotaro Kinoshita, et al.
Journal of Occupational and Environmental Medicine|April 29, 2026
An Objective Index of Office Workers' Well-Being Based on HRV-Derived Tone and Entropy: A 4-Week Observational StudyAsuka Koshi, Kiko Shiga, Tatsuki Sugio, et al.
Plos One|October 4, 2023
Assessment of glycemic variability and lifestyle behaviors in healthy nondiabetic individuals according to the categories of body mass indexKazuhiro Kashiwagi, Jun Inaishi, Shotaro Kinoshita, et al.
Heliyon|February 15, 2020
Evaluating depression with multimodal wristband-type wearable device: screening and assessing patient severity utilizing machine-learningYuuki Tazawa, Kuo-Ching Liang, Michitaka Yoshimura, et al.
Digestion|June 20, 2017
Bifidobacterium-Rich Fecal Donor May Be a Positive Predictor for Successful Fecal Microbiota Transplantation in Patients with Irritable Bowel SyndromeShinta Mizuno, Tatsuhiro Masaoka, Makoto Naganuma, et al.
Pageof 4

Showing results (11-20 of 37) with videos related to

Sort By:
Pageof 4
Plos One|September 11, 2020
Using speech recognition technology to investigate the association between timing-related speech features and depression severityMao Yamamoto, Akihiro Takamiya, Kyosuke Sawada, et al.
Comprehensive Psychiatry|March 8, 2020
Evaluating the severity of depressive symptoms using upper body motion captured by RGB-depth sensors and machine learning in a clinical interview setting: A preliminary studyToshiro Horigome, Brian Sumali, Momoko Kitazawa, et al.
Psychiatry and Clinical Neurosciences|December 29, 2022
Language patterns in Japanese patients with Alzheimer disease: A machine learning approachYuki Momota, Kuo-Ching Liang, Toshiro Horigome, et al.
Health and Quality of Life Outcomes|October 13, 2019
Survey of the effects of internet usage on the happiness of Japanese university studentsMomoko Kitazawa, Michitaka Yoshimura, Hidefumi Hitokoto, et al.
Scientific Reports|August 3, 2022
Identifying neurocognitive disorder using vector representation of free conversationToshiro Horigome, Kimihiro Hino, Hiroyoshi Toyoshiba, et al.
Metabolism Open|December 11, 2023
Associations between glycemic variability, sleep quality, and daily steps in subjects without diabetes using wearable devicesJun Inaishi, Kazuhiro Kashiwagi, Shotaro Kinoshita, et al.
Journal of Occupational and Environmental Medicine|April 29, 2026
An Objective Index of Office Workers' Well-Being Based on HRV-Derived Tone and Entropy: A 4-Week Observational StudyAsuka Koshi, Kiko Shiga, Tatsuki Sugio, et al.
Plos One|October 4, 2023
Assessment of glycemic variability and lifestyle behaviors in healthy nondiabetic individuals according to the categories of body mass indexKazuhiro Kashiwagi, Jun Inaishi, Shotaro Kinoshita, et al.
Heliyon|February 15, 2020
Evaluating depression with multimodal wristband-type wearable device: screening and assessing patient severity utilizing machine-learningYuuki Tazawa, Kuo-Ching Liang, Michitaka Yoshimura, et al.
Digestion|June 20, 2017
Bifidobacterium-Rich Fecal Donor May Be a Positive Predictor for Successful Fecal Microbiota Transplantation in Patients with Irritable Bowel SyndromeShinta Mizuno, Tatsuhiro Masaoka, Makoto Naganuma, et al.
Pageof 4