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Showing results 1 to 13 of 13

Issue Date	Title / Author(s) / Citation	File	Altmetrics
2016-02	Discovery of Peripheral Biomarkers for Major Depressive Disorder Using Proteomics and Heart Rate Variability Analysis 김은영	view file
2017-02	Causality patterns and machine learning for the extraction of problem-action relations in discharge summaries Seol, Jae-Wook; Yi, Wangjin; Choi, Jinwook; Lee, Kyung Soon International Journal of Medical Informatics, Vol.98, pp.1-12	view file DOI
2019-11	Prediction of cognitive impairment via deep learning trained with multi-center neuropsychological test data Kang, Min Ju; Kim, Sang Yun; Na, Duk L.; Kim, Byeong C.; Yang, Dong Won; Kim, Eun-Joo; Na, Hae Ri; Han, Hyun Jeong; Lee, Jae-Hong; Kim, Jong Hun; Park, Kee Hyung; Park, Kyung Won; Han, Seol-Heui; Kim, Seong Yoon; Yoon, Soo Jin; Yoon, Bora; Seo, Sang Won; Moon, So Young; Yang, YoungSoon; Shim, Yong S.; Baek, Min Jae; Jeong, Jee Hyang; Choi, Seong Hye; Youn, Young Chul BMC Medical Informatics and Decision Making, 19(1):231	view file link
2020	Prediction of sleep side effects following methylphenidate treatment in ADHD youth Yoo, Jae Hyun; Sharma, Vinod; Kim, Jae-Won; McMakin, Dana L.; Hong, Soon-Beom; Zalesky, Andrew; Kim, Bung-Nyun; Ryan, Neal D. NeuroImage: Clinical, Vol.26, p. 102030	DOI
2020-02	Machine learning algorithm to predict mortality in patients undergoing continuous renal replacement therapy Kang, Min Woo; Kim, Jayoun; Kim, Dong Ki; Oh, Kook-Hwan; Joo, Kwon Wook; Kim, Yon Su; Han, Seung Seok Critical Care, Vol.24 No.1, p. 42	DOI
2021-04	Use of the Clock Drawing Test and the Rey–Osterrieth Complex Figure Test-copy with convolutional neural networks to predict cognitive impairment Youn, Young Chul; Pyun, Jung-Min; Ryu, Nayoung; Baek, Min Jung; Jang, Jae-Won; Park, Young Ho; Ahn, Suk-Won; Shin, Hae-Won; Park, Kwang-Yeol; Kim, Sang Yun Alzheimer's Research & Therapy. 2021 Apr 20;13(1):85	view file DOI
2022-05	A novel approach to predicting the synergy of anti-cancer drug combinations using document-based feature extraction Shim, Yongsun; Lee, Munhwan; Kim, Pil-Jong; Kim, Hong-Gee BMC Bioinformatics. Vol 23(1):163	view file DOI
2022-06	A machine-learning model to predict postoperative delirium following knee arthroplasty using electronic health records Jong Wook Jung; Sunghyun Hwang; Sunho Ko; Changwung Jo; Hye Youn Park; Hyuk‑Soo Han; Myung Chul Lee; Jee Eun Park; Du Hyun Ro BMC Psychiatry, 22(1):436	view file DOI
2022-11	Prediction of amyloid PET positivity via machine learning algorithms trained with EDTA-based blood amyloid-β oligomerization data Youn, Young Chul; Kim, Hye Ryoun; Shin, Hae-Won; Jeong, Hae-Bong; Han, Sang-Won; Pyun, Jung-Min; Ryoo, Nayoung; Park, Young Ho; Kim, SangYun BMC Medical Informatics and Decision Making, 22(1):286	view file link
2023-03	Pharmacogenomic profiling reveals molecular features of chemotherapy resistance in IDH wild-type primary glioblastoma Nam, Yoonhee; Koo, Harim; Yang, Yingxi; Shin, Sang; Zhu, Zhihan; Kim, Donggeon; Cho, Hee Jin; Mu, Quanhua; Choi, Seung Won; Sa, Jason K.; Seo, Yun Jee; Kim, Yejin; Lee, Kyoungmin; Oh, Jeong-Woo; Kwon, Yong-Jun; Park, Woong-Yang; Kong, Doo-Sik; Seol, Ho Jun; Lee, Jung-Il; Park, Chul-Kee; Lee, Hye Won; Yoon, Yeup; Wang, Jiguang Genome Medicine, 15(1):16	view file DOI
2023-05	Machine learning-based prediction model for postoperative delirium in non-cardiac surgery Lee, Dong Yun.; Oh, Ah Ran.; Park, Jungchan; Lee, Seung-Hwa; Choi, Byungjin; Yang, Kwangmo; Kim, Ha Yeon.; Park, Rae Woong. BMC Psychiatry, Vol. 23(1):317	view file DOI
2024-01	miR-129-5p as a biomarker for pathology and cognitive decline in Alzheimers disease Han, Sang-Won; Pyun, Jung-Min; Bice, Paula J.; Bennett, David A.; Saykin, Andrew J.; Kim, Sang Yun; Park, Young Ho; Nho, Kwangsik Alzheimer's Research & Therapy, Vol.16, No.5	view file DOI
2024-02	Individualized estimation of arterial carbon dioxide partial pressure using machine learning in children receiving mechanical ventilation Han, Hye-Ji; Lee, Bongjin; Park, June Dong BMC Pediatrics, Vol.24 no.149	view file DOI

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