[3P] 63 Depressive and Bipolar disorders

[3P-262] Heart rate information-based machine learning and deep learning prediction of emotions, sleep-awake conditions among pregnant women and Identification of susceptible genetic loci of postpartum depression

Presentation at Industrial-Academic Collaboration

*Xue Li^1,2, Chiaki Ono^1,2,3, Noriko Warita^1,2,3, Zhiqian Yu^1,2,3, Natsuko Kobayashi^1,2, Saya Kikuchi^1,2, Akira Narita^1,3, Fuji Nagami^1,3, Soichi Ogishima^1,3, Junichi Sugawara^1,3, Masatoshi Saito^1,3, Nobuo Fuse^1,3, Kengo Kinoshita^1,3, Noriyasu Homma¹, Masayuki Yamamoto^1,3, Nobuo Yaegashi^1,2,3, Norio Ozaki⁴, Gen Tamiya^1,3, Shinichi Kuriyama^1,3, Hiroaki Tomita^1,2,3 (1. Tohoku University School of Medicine, 2. Tohoku University Hospital, 3. Tohoku University Tohoku Medical Megabank Organization, 4. Nagoya University Graduate School of Medicine)

Keywords:Postpartum depression, deep learning, emotions and sleep-wake conditions, genome-wide association study