Automated System to Capture Patient Symptoms From Multitype Japanese Clinical Texts: Retrospective Study

Tomohiro Nishiyama   ^{1 *} , MEng ;   Ayane Yamaguchi   ^{2 *} , MD, PhD ;   Peitao Han   ¹ , BE ;   Lis Weiji Kanashiro Pereira   ³ , PhD ;   Yuka Otsuki   ¹ , BE ;   Gabriel Herman Bernardim Andrade   ¹ , PhD ;   Noriko Kudo   ¹ , PhD ;   Shuntaro Yada   ¹ , PhD ;   Shoko Wakamiya   ¹ , PhD ;   Eiji Aramaki   ¹ , PhD ;   Masahiro Takada   ^{2, 4} , MD, PhD ;   Masakazu Toi   ⁵ , MD, PhD

¹ Department of Information Science, Nara Institute of Science and Technology, Ikoma, Japan

² Graduate School of Medicine, Kyoto University, Kyoto, Japan

³ Center for Information and Neural Networks, Advanced ICT Research Institute, Osaka, Japan

⁴ Department of Breast Surgery, Kansai Medical University, Hirakata, Japan

⁵ Tokyo Metropolitan Cancer and Infectious Disease Center, Komagome Hospital, Tokyo, Japan

*these authors contributed equally