{"height":"190","categories":["\u751f\u6210AI","\u7cbe\u795e\u533b\u5b66"],"blog_url":"https://ides.hatenablog.com/","title":"\u6a5f\u80fd\u7684\u7279\u5fb4\u3068\u6642\u9593\u7684\u7279\u5fb4\u3092\u7528\u3044\u305fEEG\u30d9\u30fc\u30b9\u306e\u7d71\u5408\u5931\u8abf\u75c7\u8a3a\u65ad\u306e\u305f\u3081\u306e\u5f37\u5316\u30cf\u30a4\u30d6\u30ea\u30c3\u30c9\u6df1\u5c64\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af","width":"100%","image_url":null,"description":"pmc.ncbi.nlm.nih.gov Soltani-Nejad, M., Salar-pour, F., Rakhshan, S. A., & Nezamabadi-pour, H. (2025). Enhanced hybrid deep neural network for EEG-based schizophrenia diagnosis using functional and temporal features. Scientific Reports, 15, 42592. https://doi.org/10.1038/s41598-025-26627-4 \u7d71\u5408\u5931\u8abf\u75c7\u306e\u8a3a\u65ad\u306f\u2026","provider_name":"Hatena Blog","blog_title":"\u4e95\u51fa\u8349\u5e73\u306e\u7814\u7a76\u30ce\u30fc\u30c8","published":"2026-02-08 09:34:20","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Fides.hatenablog.com%2Fentry%2F2026%2F02%2F08%2F093420\" title=\"\u6a5f\u80fd\u7684\u7279\u5fb4\u3068\u6642\u9593\u7684\u7279\u5fb4\u3092\u7528\u3044\u305fEEG\u30d9\u30fc\u30b9\u306e\u7d71\u5408\u5931\u8abf\u75c7\u8a3a\u65ad\u306e\u305f\u3081\u306e\u5f37\u5316\u30cf\u30a4\u30d6\u30ea\u30c3\u30c9\u6df1\u5c64\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af - \u4e95\u51fa\u8349\u5e73\u306e\u7814\u7a76\u30ce\u30fc\u30c8\" class=\"embed-card embed-blogcard\" scrolling=\"no\" frameborder=\"0\" style=\"display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;\"></iframe>","version":"1.0","provider_url":"https://hatena.blog","type":"rich","author_name":"iDES","author_url":"https://blog.hatena.ne.jp/iDES/","url":"https://ides.hatenablog.com/entry/2026/02/08/093420"}