| Presentation | 2015-05-20 Compilation of a computer-aided diagnosis method using spatial and temporal characteristics of NIRS data in major depressive disorder and bipolar disorder Yukihisa Matsuda, Ken-ichiro Watanabe, Hiroaki Kihara, Yasuhiro Kawasaki, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Objectives: In this study, we examined new computer-aided diagnosis method with support vector machine (SVM) for classification of MDD and BD. Methods: Twenty-two patients with MDD and 11 patients with BD participated in verbal fluency task (VFT). The 52-channel NIRS machine (ETG-4000) measures relative changes of [oxy-Hb] at frontal and temporal robes while VFT. Concordance rates between clinical diagnosis and automatic diagnosis by SVM were calculated. Results: Seven diagnostic models indicated over 90% of concordance rates. Conclusions: New automatic diagnosis algorithms were obtained by SVM. The application of SVM to massive NIRS data contributed to product optimized diagnostic tools. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | major depressive disorder / bipolar disorder / near-infrared spectroscopy test / machine learning |
| Paper # | HCS2015-40,HIP2015-40 |
| Date of Issue | 2015-05-12 (HCS, HIP) |
| Conference Information | |
| Committee | HCS / HIP / HI-SIGCE |
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| Conference Date | 2015/5/19(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Okinawa Industry Support Center |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Communication Enhancing, Human Communications, and Human Information Processing |
| Chair | Kinya Fujita(Tokyo Univ. of Agric. and Tech.) / Hideyuki Ando(Osaka Univ.) |
| Vice Chair | Kyoko Ito(Osaka Univ.) / Masafumi Matsuda(NTT) / Masahiro Ishii(Sapporo City Univ.) / Miyuki Kamachi(Kogakuin Univ.) |
| Secretary | Kyoko Ito(Univ. of Tsukuba) / Masafumi Matsuda(Kanazawa Inst. of Tech.) / Masahiro Ishii(NICT) / Miyuki Kamachi(KDDI R&D Labs.) / (Nagoya Univ.) |
| Assistant | Yuugo Hayashi(Ritsumeikan Univ.) / Masashi Komori(Osaka Electro-Comm. Univ.) / Takahiro Tanaka(Nagoya Univ.) / Haruka Yoshida(NEC) / Sinobu Kuroki(NTT) / Mutsumi Suganuma(Waseda Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Human Communication Science / Technical Committee on Human Information Processing / Special Interest Group on Communication Enhancement |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Compilation of a computer-aided diagnosis method using spatial and temporal characteristics of NIRS data in major depressive disorder and bipolar disorder |
| Sub Title (in English) | |
| Keyword(1) | major depressive disorder |
| Keyword(2) | bipolar disorder |
| Keyword(3) | near-infrared spectroscopy test |
| Keyword(4) | machine learning |
| 1st Author's Name | Yukihisa Matsuda |
| 1st Author's Affiliation | Kanazawa Medical University(Kanazawa Med Univ.) |
| 2nd Author's Name | Ken-ichiro Watanabe |
| 2nd Author's Affiliation | Kanazawa Medical University(Kanazawa Med Univ.) |
| 3rd Author's Name | Hiroaki Kihara |
| 3rd Author's Affiliation | Kanazawa Medical University(Kanazawa Med Univ.) |
| 4th Author's Name | Yasuhiro Kawasaki |
| 4th Author's Affiliation | Kanazawa Medical University(Kanazawa Med Univ.) |
| Date | 2015-05-20 |
| Paper # | HCS2015-40,HIP2015-40 |
| Volume (vol) | vol.115 |
| Number (no) | HCS-35,HIP-36 |
| Page | pp.pp.259-262(HCS), pp.259-262(HIP), |
| #Pages | 4 |
| Date of Issue | 2015-05-12 (HCS, HIP) |