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Issue Date	Title / Author(s) / Citation	File
2016-03	Predicting multi-class responses to preoperative chemoradiotherapy in rectal cancer patients Gim, Jungsoo; Cho, Yong Beom; Hong, Hye Kyung; Kim, Hee Cheol; Yun, Seong Hyeon; Wu, Hong-Gyun; Jeong, Seung-Yong; Joung, Je-Gun; Park, Taesung; Park, Woong-Yang; Lee, Woo Yong Radiation Oncology, 11(1):50	view file DOI
2012-02	Predicting Perceptual Dynamics of Structure-from-Motion with Activity of Neural Population Jointly Selective for 3D Depth and Motion 오한나	link
2022-12	Predicting PM2.5 reduction behavior among college students: The role of beliefs and descriptive norms Park, Seona; Kim, Hyun Suk; Yun, Sun-Jin Sustainable Environment, Vol.8 No.1, pp.1-13	DOI
2022-05	Predicting prognosis and evaluating the benefits of adjuvant chemotherapy depending on the tumor location in intrahepatic cholangiocarcinoma: focusing on the involvement of below 2nd bile duct confluence Sohn, Hee Ju; Kim, Hongbeom; Kim, Jae Ri; Kang, Jae Sung; Han, Youngmin; Lee, Mirang; Kim, Hyeong Seok; Kwon, Wooil; Hong, Suk Kyun; Choi, YoungRok; Yi, Nam-Joon; Lee, Kwang-Woong; Suh, Kyung-Suk; Jang, Jin-Young 대한외과학회지, Vol.102 No.5, pp.248-256	DOI
2022-08	Predicting progression to dementia with "comprehensive visual rating scale" and machine learning algorithms Park, Chaeyoon; Jang, Jae-Won; Joo, Gihun; Kim, Yeshin; Kim, Seongheon; Byeon, Gihwan; Park, Sang Won; Kasani, Payam Hosseinzadeh; Yum, Sujin; Pyun, Jung-Min; Park, Young Ho; Lim, Jae-Sung; Youn, Young Chul; Choi, Hyun-Soo; Park, Chihyun; Im, Hyeonseung; Kim, SangYun Frontiers in Neurology, Vol.13, p. 906257	DOI
2017-08	Predicting Psychosis Onset in Clinical-High Risk Individuals Using Functional Network Connectivity Biomarkers 윤영우	view file
2018-08	Predicting Remission in Subjects at Clinical High Risk for Psychosis Using Mismatch Negativity 김민아	view file
2016-02	Predicting Response for Pharmacotherapy Using Neuroanatomical Single-Subject Pattern Recognition in Obsessive-Compulsive Disorder 윤제연	view file
2019-02	Predicting Sequence Specificities of Transcription Factors with Self-Attention Sequence Modeling 안용주	view file
2019-05	Predicting short-period spectral ordinates of hybrid ground shaking prediction tools: a comparative benchmark Gatti, Filippo; Lopez-Caballero, Fernando 13th International Conference on Applications of Statistics and Probability in Civil Engineering(ICASP13), Seoul, South Korea, May 26-30, 2019	view file DOI
2016-10	Predicting survival of patients with idiopathic pulmonary fibrosis using GAP score: a nationwide cohort study Lee, Sang Hoon; Kim, Song Yee; Kim, Dong Soon; Kim, Young Whan; Chung, Man Pyo; Uh, Soo Taek; Park, Choon Sik; Jeong, Sung Hwan; Park, Yong Bum; Lee, Hong Lyeol; Shin, Jong Wook; Lee, Eun Joo; Lee, Jin Hwa; Jegal, Yangin; Lee, Hyun Kyung; Kim, Yong Hyun; Song, Jin Woo; Park, Sung Woo; Park, Moo Suk Respiratory Research, 17(1):131	view file DOI
2021-01	Predicting susceptibility to landslides under climate change impacts in metropolitan areas of South Korea using machine learning Park, Sang-Jin; Lee, Dong-kun Geomatics, Natural Hazards and Risk, Vol.12 No.1, pp.2462-2476	DOI
2020-08	Predicting the chemical reactivity of organic materials using a machine-learning approach Lee, Byungju; Yoo, Jaekyun; Kang, Kisuk Chemical Science, Vol.11 No.30, pp.7813-7822	DOI
2019-05	Predicting the Condition Evolution of Controlled Infrastructure Components Modeled by Markov Processes Li, Shuo; Pozzi, Matteo 13th International Conference on Applications of Statistics and Probability in Civil Engineering(ICASP13), Seoul, South Korea, May 26-30, 2019	view file DOI
2010-01	Predicting the configuration of a C-shaped canal system from panoramic radiographs Jung, Hwan-Jun; Lee, Sam-Sun; Huh, Kyung-Hoe; Yi, Won-Jin; Heo, Min-Suk; Choi, Soon-Chul Oral Surg Oral Med Oral Pathol Oral Radiol Endod 2010;109:e37-e41
2019-02	Predicting the Electrical Conductivity of Root-Zone in Closed-Loop Soilless Cultures Using Recurrent Neural Networks 문태원	view file
2008-02	Predicting the emergence of tick-borne infections based on climatic changes in Korea Chae, Joon-seok; Adjemian, Jennifer Zipser; Kim, Heung-Chul; Ko, Sungjin; Klein, Terry A.; Foley, Janet Vector-Borne Zoonotic Dis 2008; 8:265-276	DOI
2023	Predicting the Impact on Speed Reduction in Adjacent Networks of a Link Using the Graph Attention Model 함승우	view file link
2021	Predicting the Intention to Participate in Physical Activity among Bangladeshi Civil Servants : Using Elicitation and Theory of Planned Behavior 모하마드	view file link
2021-07	Predicting the magnitude of residual spatial autocorrelation in geographical ecology Kim, Daehyun Ecography, Vol.44 No.7, pp.1121-1130	DOI

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