Yejin Kim
Orcid: 0000-0001-7815-6310Affiliations:
- University of Texas Health Science Center at Houston, Houston, TX, USA
According to our database1,
Yejin Kim
authored at least 32 papers
between 2015 and 2025.
Collaborative distances:
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Online presence:
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on orcid.org
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on github.com
On csauthors.net:
Bibliography
2025
KEDRec-LM: A Knowledge-distilled Explainable Drug Recommendation Large Language Model.
CoRR, February, 2025
2024
CancerGPT for few shot drug pair synergy prediction using large pretrained language models.
npj Digit. Medicine, 2024
J. Biomed. Informatics, 2024
MALLM-GAN: Multi-Agent Large Language Model as Generative Adversarial Network for Synthesizing Tabular Data.
CoRR, 2024
2023
J. Am. Medical Informatics Assoc., September, 2023
Emulate randomized clinical trials using heterogeneous treatment effect estimation for personalized treatments: Methodology review and benchmark.
J. Biomed. Informatics, January, 2023
CancerGPT: Few-shot Drug Pair Synergy Prediction using Large Pre-trained Language Models.
CoRR, 2023
Inferring Personalized Treatment Effect of Antihypertensives on Alzheimer's Disease Using Deep Learning.
Proceedings of the 11th IEEE International Conference on Healthcare Informatics, 2023
Proceedings of the 11th IEEE International Conference on Healthcare Informatics, 2023
Learning Physician's Treatment for Alzheimer's Disease based on Electronic Health Records and Reinforcement Learning.
Proceedings of the 11th IEEE International Conference on Healthcare Informatics, 2023
2022
Relational graph convolutional networks for predicting blood-brain barrier penetration of drug molecules.
Bioinform., 2022
2021
Population stratification enables modeling effects of reopening policies on mortality and hospitalization rates.
J. Biomed. Informatics, 2021
J. Am. Medical Informatics Assoc., 2021
2020
A lightweight convolutional neural network for assessing an EEG risk marker for sudden unexpected death in epilepsy.
BMC Medical Informatics Decis. Mak., 2020
Learning to detect the onset of slow activity after a generalized tonic-clonic seizure.
BMC Medical Informatics Decis. Mak., 2020
Categorisation of EEG suppression using enhanced feature extraction for SUDEP risk assessment.
BMC Medical Informatics Decis. Mak., 2020
BMC Medical Informatics Decis. Mak., 2020
A community effort for automatic detection of postictal generalized EEG suppression in epilepsy.
BMC Medical Informatics Decis. Mak., 2020
Temporal phenotyping for transitional disease progress: An application to epilepsy and Alzheimer's disease.
J. Biomed. Informatics, 2020
J. Am. Medical Informatics Assoc., 2020
Drug Repurposing for COVID-19 using Graph Neural Network with Genetic, Mechanistic, and Epidemiological Validation.
CoRR, 2020
2019
Combining Representation Learning with Tensor Factorization for Risk Factor Analysis - an application to Epilepsy and Alzheimer's disease.
CoRR, 2019
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Proceedings of the AMIA 2019, 2019
2017
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017
Tensor-Factorization-Based Phenotyping using Group Information: Case Study on the Efficacy of Statins.
Proceedings of the 8th ACM International Conference on Bioinformatics, 2017
2016
Discovery of prostate specific antigen pattern to predict castration resistant prostate cancer of androgen deprivation therapy.
BMC Medical Informatics Decis. Mak., 2016
2015
Discovery of Prostate Specific Antigen Pattern to Predict Castration Resistant Prostate Cancer of Androgen Deprivation Therapy.
Proceedings of the ACM Ninth International Workshop on Data and Text Mining in Biomedical Informatics, 2015