Yejin Kim

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 18

Top Topics

Machine Learning

Artificial Intelligence

Mild Cognitive Impairment

Cross Sectional

Top Venues

JMIR medical informatics

NPJ digital medicine

JMIR formative research

PLOS digital health

This page only lists publications with an associated author ORCID identifier.

Publications

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 digital medicine 7 (1) (2024)
Qidi Xu, Yejin Kim, Karen Chung, Paul E Schulz, Assaf Gottlieb
Prediction of Mild Cognitive Impairment Status: Pilot Study of Machine Learning Models Based on Longitudinal Data From Fitness Trackers. JMIR formative research 8 (2024)
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 digital medicine 7 (1) (2024)
Yaobin Ling, Muhammad Bilal Tariq, Kaichen Tang, Jaroslaw Aronowski, Yang Fann, Sean I Savitz, Xiaoqian Jiang, Yejin Kim
An interpretable framework to identify responsive subgroups from clinical trials regarding treatment effects: Application to treatment of intracerebral hemorrhage. PLOS digital health 3 (5) (2024)
Yaobin Ling, Muhammad Bilal Tariq, Kaichen Tang, Jaroslaw Aronowski, Yang Fann, Sean I Savitz, Xiaoqian Jiang, Yejin Kim
An interpretable framework to identify responsive subgroups from clinical trials regarding treatment effects: Application to treatment of intracerebral hemorrhage. PLOS digital health 3 (5) (2024)
Qidi Xu, Yejin Kim, Karen Chung, Paul E Schulz, Assaf Gottlieb
Prediction of Mild Cognitive Impairment Status: Pilot Study of Machine Learning Models Based on Longitudinal Data From Fitness Trackers. JMIR formative research 8 (2024)
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 digital medicine 7 (1) (2024)
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 digital medicine 7 (1) (2024)
Qidi Xu, Yejin Kim, Karen Chung, Paul E Schulz, Assaf Gottlieb
Prediction of Mild Cognitive Impairment Status: Pilot Study of Machine Learning Models Based on Longitudinal Data From Fitness Trackers. JMIR formative research 8 (2024)
Qidi Xu, Yejin Kim, Karen Chung, Paul E Schulz, Assaf Gottlieb
Prediction of Mild Cognitive Impairment Status: Pilot Study of Machine Learning Models Based on Longitudinal Data From Fitness Trackers. JMIR formative research 8 (2024)
Pulakesh Upadhyaya, Kai Zhang, Can Li, Xiaoqian Jiang, Yejin Kim
Scalable Causal Structure Learning: Scoping Review of Traditional and Deep Learning Algorithms and New Opportunities in Biomedicine. JMIR medical informatics 11 (2023)
Pulakesh Upadhyaya, Kai Zhang, Can Li, Xiaoqian Jiang, Yejin Kim
Scalable Causal Structure Learning: Scoping Review of Traditional and Deep Learning Algorithms and New Opportunities in Biomedicine. JMIR medical informatics 11 (2023)
Pulakesh Upadhyaya, Kai Zhang, Can Li, Xiaoqian Jiang, Yejin Kim
Scalable Causal Structure Learning: Scoping Review of Traditional and Deep Learning Algorithms and New Opportunities in Biomedicine. JMIR medical informatics 11 (2023)
Pulakesh Upadhyaya, Kai Zhang, Can Li, Xiaoqian Jiang, Yejin Kim
Scalable Causal Structure Learning: Scoping Review of Traditional and Deep Learning Algorithms and New Opportunities in Biomedicine. JMIR medical informatics 11 (2023)
Kritib Bhattarai, Sivaraman Rajaganapathy, Trisha Das, Yejin Kim, Yongbin Chen, null null, null null, Qiying Dai, Xiaoyang Li, Xiaoqian Jiang, Nansu Zong
Using artificial intelligence to learn optimal regimen plan for Alzheimer's disease. Journal of the American Medical Informatics Association : JAMIA (2023)
Yejin Kim, Kai Zhang, Sean I Savitz, Luyao Chen, Paul E Schulz, Xiaoqian Jiang
Counterfactual analysis of differential comorbidity risk factors in Alzheimer's disease and related dementias. PLOS digital health 1 (3) (2022)
Yejin Kim, Kai Zhang, Sean I Savitz, Luyao Chen, Paul E Schulz, Xiaoqian Jiang
Counterfactual analysis of differential comorbidity risk factors in Alzheimer's disease and related dementias. PLOS digital health 1 (3) (2022)
Yan Ding, Xiaoqian Jiang, Yejin Kim
Relational graph convolutional networks for predicting blood-brain barrier penetration of drug molecules. Bioinformatics (Oxford, England) 38 (10) (2022)