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Yejin Kim
Publications
- 2024
- [j33]Tianhao Li, Sandesh Shetty, Advaith Kamath, Ajay Jaiswal, Xiaoqian Jiang, Ying Ding, Yejin Kim:
CancerGPT for few shot drug pair synergy prediction using large pretrained language models. npj Digit. Medicine 7(1) (2024) - [i20]Disha Makhija, Joydeep Ghosh, Yejin Kim:
Federated Learning for Estimating Heterogeneous Treatment Effects. CoRR abs/2402.17705 (2024) - 2023
- [j29]Kritib Bhattarai, Sivaraman Rajaganapathy, Trisha Das, Yejin Kim, Yongbin Chen, Qiying Dai, Xiaoyang Li, Xiaoqian Jiang, Nansu Zong:
Using artificial intelligence to learn optimal regimen plan for Alzheimer's disease. J. Am. Medical Informatics Assoc. 30(10): 1645-1656 (2023) - [j28]Yaobin Ling, Pulakesh Upadhyaya, Luyao Chen, Xiaoqian Jiang, Yejin Kim:
Emulate randomized clinical trials using heterogeneous treatment effect estimation for personalized treatments: Methodology review and benchmark. J. Biomed. Informatics 137: 104256 (2023) - [c27]Pulakesh Upadhyaya, Yaobin Ling, Luyao Chen, Yejin Kim, Xiaoqian Jiang:
Inferring Personalized Treatment Effect of Antihypertensives on Alzheimer's Disease Using Deep Learning. ICHI 2023: 49-57 - [c26]Kritib Bhattarai, Sivaraman Rajaganapathy, Trisha Das, Yejin Kim, Yongbin Chen, Qiying Dai, Xiaoyang Li, Xiaoqian Jiang, Nansu Zong:
Learning Physician's Treatment for Alzheimer's Disease based on Electronic Health Records and Reinforcement Learning. ICHI 2023: 525-526 - [c25]Ko-Hong Lin, Jay-Jiguang Zhu, Judith A. Smith, Yejin Kim, Xiaoqian Jiang:
An End-to-end In-Silico and In-Vitro Drug Repurposing Pipeline for Glioblastoma. ICHI 2023: 738-745 - [i15]Tianhao Li, Sandesh Shetty, Advaith Kamath, Ajay Jaiswal, Xianqian Jiang, Ying Ding, Yejin Kim:
CancerGPT: Few-shot Drug Pair Synergy Prediction using Large Pre-trained Language Models. CoRR abs/2304.10946 (2023) - 2022
- [j24]Yan Ding, Xiaoqian Jiang, Yejin Kim:
Relational graph convolutional networks for predicting blood-brain barrier penetration of drug molecules. Bioinform. 38(10): 2826-2831 (2022) - 2021
- [j19]Yejin Kim, Shuyu Zheng, Jing Tang, W. Jim Zheng, Zhao Li, Xiaoqian Jiang:
Anticancer drug synergy prediction in understudied tissues using transfer learning. J. Am. Medical Informatics Assoc. 28(1): 42-51 (2021) - [j18]Tongtong Huang, Yan Chu, Shayan Shams, Yejin Kim, Ananth V. Annapragada, Devika Subramanian, Ioannis A. Kakadiaris, Assaf Gottlieb, Xiaoqian Jiang:
Population stratification enables modeling effects of reopening policies on mortality and hospitalization rates. J. Biomed. Informatics 119: 103818 (2021) - [c22]Kanglin Hsieh, Xiaoqian Jiang, Yejin Kim, Yu-Chun Hsu:
The Combination of Graph Neuron Network and Multi-Task Learning Model for Cancer Drug Combination Prediction. AMIA 2021 - [i9]Yan Ding, Xiaoqian Jiang, Yejin Kim:
Relational graph convolutional networks for predicting blood-brain barrier penetration of drug molecules. CoRR abs/2107.06773 (2021) - [i8]Yaobin Ling, Pulakesh Upadhyaya, Luyao Chen, Xiaoqian Jiang, Yejin Kim:
Heterogeneous Treatment Effect Estimation using machine learning for Healthcare application: tutorial and benchmark. CoRR abs/2109.12769 (2021) - [i7]Pulakesh Upadhyaya, Kai Zhang, Can Li, Xiaoqian Jiang, Yejin Kim:
Scalable Causal Structure Learning: New Opportunities in Biomedicine. CoRR abs/2110.07785 (2021) - 2020
- [j15]Jean Louis Raisaro, Francesco Marino, Juan Ramón Troncoso-Pastoriza, Raphaelle Beau-Lejdstrom, Riccardo Bellazzi, Robert Murphy, Elmer V. Bernstam, Henry Wang, Mauro Bucalo, Yong Chen, Assaf Gottlieb, Arif Ozgun Harmanci, Miran Kim, Yejin Kim, Jeffrey G. Klann, Catherine Klersy, Bradley A. Malin, Marie Méan, Fabian Prasser, Luigia Scudeller, Ali Torkamani, Julien Vaucher, Mamta Puppala, Stephen T. C. Wong, Milana Frenkel-Morgenstern, Hua Xu, Baba Maiyaki Musa, Abdulrazaq G. Habib, Trevor Cohen, Adam B. Wilcox, Hamisu M. Salihu, Heidi Sofia, Xiaoqian Jiang, Jean-Pierre Hubaux:
SCOR: A secure international informatics infrastructure to investigate COVID-19. J. Am. Medical Informatics Assoc. 27(11): 1721-1726 (2020) - [j14]Yejin Kim, Samden D. Lhatoo, Guo-Qiang Zhang, Luyao Chen, Xiaoqian Jiang:
Temporal phenotyping for transitional disease progress: An application to epilepsy and Alzheimer's disease. J. Biomed. Informatics 107: 103462 (2020) - [j13]Juan C. Mier, Yejin Kim, Xiaoqian Jiang, Guo-Qiang Zhang, Samden D. Lhatoo:
Categorisation of EEG suppression using enhanced feature extraction for SUDEP risk assessment. BMC Medical Informatics Decis. Mak. 20-S(12): 326 (2020) - [j12]Bishal Lamichhane, Yejin Kim, Santiago Segarra, Guoqiang Zhang, Samden D. Lhatoo, Jaison Hampson, Xiaoqian Jiang:
Automated detection of activity onset after postictal generalized EEG suppression. BMC Medical Informatics Decis. Mak. 20-S(12): 327 (2020) - [j11]Yejin Kim, Xiaoqian Jiang, Samden D. Lhatoo, Guoqiang Zhang, Shiqiang Tao, Licong Cui, Xiaojin Li, Robert D. Jolly, Luyao Chen, Michael Phan, Cung Ha, Marijane Detranaltes, Jiajie Zhang:
A community effort for automatic detection of postictal generalized EEG suppression in epilepsy. BMC Medical Informatics Decis. Mak. 20-S(12): 328 (2020) - [j10]Cong Zhu, Yejin Kim, Xiaoqian Jiang, Samden D. Lhatoo, Hampson Jaison, Guo-Qiang Zhang:
A lightweight convolutional neural network for assessing an EEG risk marker for sudden unexpected death in epilepsy. BMC Medical Informatics Decis. Mak. 20-S(12): 329 (2020) - [j9]Carroll Vance, Yejin Kim, Guo-Qiang Zhang, Samden D. Lhatoo, Shiqiang Tao, Licong Cui, Xiaojin Li, Xiaoqian Jiang:
Learning to detect the onset of slow activity after a generalized tonic-clonic seizure. BMC Medical Informatics Decis. Mak. 20-S(12): 330 (2020) - [i6]Kanglin Hsieh, Yinyin Wang, Luyao Chen, Zhongming Zhao, Sean I. Savitz, Xiaoqian Jiang, Jing Tang, Yejin Kim:
Drug Repurposing for COVID-19 using Graph Neural Network with Genetic, Mechanistic, and Epidemiological Validation. CoRR abs/2009.10931 (2020) - 2019
- [c18]Yejin Kim, Xiaoqian Jiang, Luyao Chen, Xiaojin Li, Licong Cui:
Discriminative Sleep Patterns of Alzheimer's Disease via Tensor Factorization. AMIA 2019 - [c17]Yejin Kim, Kwangseob Kim, Chanyoung Park, Hwanjo Yu:
Sequential and Diverse Recommendation with Long Tail. IJCAI 2019: 2740-2746 - [c16]Sun Jung Lee, Sung Hye Yu, Yejin Kim, Jun Hyuk Hong, Choung-Soo Kim, Seong Il Seo, Chang Wook Jeong, Seok-Soo Byun, Byung Ha Chung, Ji Youl Lee, In Young Choi:
Development of Integrated Data and Prediction System Platform for the Localized Prostate Cancer. MedInfo 2019: 1506-1507 - [i4]Yejin Kim, Xiaoqian Jiang, Luyao Chen, Xiaojin Li, Licong Cui:
Discriminative Sleep Patterns of Alzheimer's Disease via Tensor Factorization. CoRR abs/1905.05827 (2019) - [i3]Xiaoqian Jiang, Samden D. Lhatoo, Guo-Qiang Zhang, Luyao Chen, Yejin Kim:
Combining Representation Learning with Tensor Factorization for Risk Factor Analysis - an application to Epilepsy and Alzheimer's disease. CoRR abs/1905.05830 (2019) - [i2]Rui Zhang, Luca Giancardo, Danilo A. Peña, Yejin Kim, Hanghang Tong, Xiaoqian Jiang:
From Brain Imaging to Graph Analysis: a study on ADNI's patient cohort. CoRR abs/1905.05861 (2019) - 2018
- [c15]Kyeong Seon Kim, Dohyun Kwon, Yejin Kim, Junhui Kim, Joongheon Kim:
Self-Adaptive Machine Learning Operating Systems for Security Applications. ICASSP 2018: 6946-6950 - [c13]Sunjun Hwang, Kyeong Seon Kim, Yejin Kim, Junhui Kim, Miji Park, SooHyun Park, Joongheon Kim:
High-dimensional statistical supervised learning for extracting information in steganography. ICOIN 2018: 897-898 - 2017
- [c11]Jingyun Choi, Yejin Kim, Hun-Sung Kim, In Young Choi, Hwanjo Yu:
Tensor-Factorization-Based Phenotyping using Group Information: Case Study on the Efficacy of Statins. BCB 2017: 516-525 - [c10]Yejin Kim, Jingyun Choi, Yosep Chong, Xiaoqian Jiang, Hwanjo Yu:
DiagTree: Diagnostic Tree for Differential Diagnosis. CIKM 2017: 1179-1188 - [c9]Yejin Kim, Jimeng Sun, Hwanjo Yu, Xiaoqian Jiang:
Federated Tensor Factorization for Computational Phenotyping. KDD 2017: 887-895 - [i1]Yejin Kim, Jimeng Sun, Hwanjo Yu, Xiaoqian Jiang:
Federated Tensor Factorization for Computational Phenotyping. CoRR abs/1704.03141 (2017) - 2016
- [j4]Yejin Kim, Yong Hyun Park, Ji Youl Lee, In Young Choi, Hwanjo Yu:
Discovery of prostate specific antigen pattern to predict castration resistant prostate cancer of androgen deprivation therapy. BMC Medical Informatics Decis. Mak. 16(S-1): 63 (2016) - 2015
- [c8]Yejin Kim, Yong Hyun Park, Ji Youl Lee, In Young Choi, Donghyun Kim, Hwanjo Yu:
Discovery of Prostate Specific Antigen Pattern to Predict Castration Resistant Prostate Cancer of Androgen Deprivation Therapy. DTMBIO@CIKM 2015: 13
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