Á¤º¸°úÇÐȸ³í¹®Áö (Journal of KIISE)
Current Result Document :
ÇѱÛÁ¦¸ñ(Korean Title) |
¸ÖƼ ¸ð´Þ µ¥ÀÌÅ͸¦ ÀÌ¿ëÇÑ Çѱ¹Çü ÁÖ¿ä ¿ì¿ï Àå¾Ö Áø´Ü ¹× Ä¡·á ¸ðµ¨ |
¿µ¹®Á¦¸ñ(English Title) |
Diagnostic and Therapeutic Model for Korean Major Depressive Disorder Using Multi-Modal Data |
ÀúÀÚ(Author) |
ÃÖ¿ëÈ
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Àü¹ÎÁö
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ÇѱԸ¸
¿øÀº¼ö
ÇÔº´ÁÖ
°Àç¿ì
Yonghwa Choi
Aram Kim
Minji Jeon
Sunkyu Kim
Kyu-Man Han
Eunsoo Won
Byung-Joo Ham
Jaewoo Kang
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¿ø¹®¼ö·Ïó(Citation) |
VOL 46 NO. 01 PP. 0071 ~ 0076 (2019. 01) |
Çѱ۳»¿ë (Korean Abstract) |
¿ì¿ïÁõÀº Çö´ë »çȸ¿¡¼ °¡Àå ÈçÇÑ Á¤½ÅÁúȯ Áß Çϳª·Î, ¹Ýº¹µÇ´Â Àç¹ß¿¡ µû¸¥ ¸¸¼ºÈ·Î ÀÎÇØ »çȸÀûÀÎ ºÎ´ãÀ» Áõ°¡½ÃŲ´Ù. ±×·¯³ª ´Ù¾çÇÑ ¿äÀεéÀÌ º¹ÇÕÀûÀ¸·Î °ü¿©ÇÏ´Â Áúº´À̱⠶§¹®¿¡ ¿©·¯ ¿äÀÎÀ» È¿À²ÀûÀ¸·Î °í·ÁÇÒ ¼ö ÀÖ´Â ±â°èÇнÀ ¸ðµ¨ÀÌ ÇÊ¿äÇÏ´Ù. º» ³í¹®¿¡¼´Â ±âº» Á¤º¸, MRI, À¯ÀüÀÚ, ÀÎÁö °Ë»ç ÀÇ 4°¡Áö ¸ÖƼ ¸ð´Þ µ¥ÀÌÅ͸¦ ÀÌ¿ëÇØ ¿ì¿ïÁõ ¿©ºÎ¸¦ Áø´ÜÇÏ°í Ç׿ì¿ïÁ¦ ¹ÝÀÀÀÇ Á¤µµ¸¦ ¿¹ÃøÇÒ ¼ö ÀÖ´Â ¸ð µ¨À» Á¦¾ÈÇÏ¿© ¿ì¿ïÁõ Áø´ÜÀÇ °æ¿ì AUROC Á¡¼ö 0.923, Ç׿ì¿ïÁ¦ ¹ÝÀÀ¼º ¿¹ÃøÀÇ °æ¿ì MSE 0.08ÀÇ Á¤È® µµ¸¦ ¾ò¾ú´Ù. ±×¸®°í Á¦¾ÈÇÑ ¸ðµ¨ÀÇ °á°ú¸¦ Á¤·®ÀûÀ¸·Î ºÐ¼®ÇÏ¿© ȯÀÚÀÇ µ¥ÀÌÅ͸¦ Ãß°¡ÇÒ¼ö·Ï Á¤È®ÇÑ Áø´Ü ¹× ¾à¹° ¹ÝÀÀ¼º ¿¹ÃøÀÌ °¡´ÉÇÔÀ» È®ÀÎÇÏ°í, Á¤¼ºÀûÀ¸·Î ºÐ¼®ÇÏ¿© ¿ì¿ïÁõ¿¡ °üÇØ ±âÁ¸¿¡ ¾Ë·ÁÁø ÁÖ¿ä ¿äÀÎ À» ã´Â °Í»Ó ¾Æ´Ï¶ó »õ·Î¿î °¡¼³À» Á¦½ÃÇÏ¿´´Ù.
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¿µ¹®³»¿ë (English Abstract) |
Depression is one of the most common mental illnesses in the modern society, and it increases the social burden due to repeated recurrences. However, since there are many pre-disposing factors that cause depression, there is need to develop a machine-learning model that examine these factors effectively. In this paper, we propose a model that can diagnose depression and predict the degree of antidepressant response using four multi modal data including basic information, MRI, genetics, and cognitive test. The model achieved 0.923 AUROC score for diagnosis and 0.08 MSE for prediction of antidepressant response. In addition, the results of the proposed model were quantitatively analyzed, and it confirmed that accurate diagnosis and drug response prediction are possible when the patient¡¯s data is added. Qualitative analysis was also conducted to provide new hypotheses as well as findings on the main factors causing depression.
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Å°¿öµå(Keyword) |
¿ì¿ïÁõ
Áø´Ü ¸ðµ¨
¾à¹° ¹ÝÀÀ¼º
±â°è ÇнÀ
depression
diagnostic model
drug response
machine learning
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