Yikuan Li

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 37

Top Topics

Gaussian Process

Outcome Prediction

Mild Cognitive Impairment

Electronic Health Records

Top Venues

IEEE J. Biomed. Health Informatics

J. Am. Medical Informatics Assoc.

Publications

Chenxiao Wang, Baichun Hu, Yi Yang, Yihan Wang, Juyue Qin, Xiaolian Wen, Yikuan Li, Hui Li, Yutong Wang, Jian Wang, Yang Liu
Structural simulation and selective inhibitor discovery study for histone demethylases KDM4E/6B from a computational perspective. Comput. Biol. Chem. 110 (2024)
Shishir Rao, Mohammad Mamouei, Gholamreza Salimi-Khorshidi, Yikuan Li, Rema Ramakrishnan, Abdelaali Hassaïne, Dexter Canoy, Kazem Rahimi
Targeted-BEHRT: Deep Learning for Observational Causal Inference on Longitudinal Electronic Health Records. IEEE Trans. Neural Networks Learn. Syst. 35 (4) (2024)
Yikuan Li, Ramsey M. Wehbe, Faraz S. Ahmad, Hanyin Wang, Yuan Luo
A comparative study of pretrained language models for long clinical text. J. Am. Medical Informatics Assoc. 30 (2) (2023)
Hanyin Wang, Yikuan Li, Meghan R. Hutch, Adrienne S. Kline, Sebastian Otero, Leena B. Mithal, Emily S. Miller, Andrew Naidech, Yuan Luo
Patterns of diverse and changing sentiments towards COVID-19 vaccines: a sentiment analysis study integrating 11 million tweets and surveillance data across over 180 countries. J. Am. Medical Informatics Assoc. 30 (5) (2023)
Yikuan Li, Ramsey M. Wehbe, Faraz S. Ahmad, Hanyin Wang, Yuan Luo
A Comparative Study of Pretrained Language Models for Long Clinical Text. CoRR (2023)
Yikuan Li, Mohammad Mamouei, Gholamreza Salimi-Khorshidi, Shishir Rao, Abdelaali Hassaïne, Dexter Canoy, Thomas Lukasiewicz, Kazem Rahimi
Hi-BEHRT: Hierarchical Transformer-Based Model for Accurate Prediction of Clinical Events Using Multimodal Longitudinal Electronic Health Records. IEEE J. Biomed. Health Informatics 27 (2) (2023)
Zheng Yu, Yikuan Li, Joseph Kim, Kaixuan Huang, Yuan Luo, Mengdi Wang
Deep Reinforcement Learning for Cost-Effective Medical Diagnosis. ICLR (2023)
Chengsheng Mao, Jie Xu, Luke V. Rasmussen, Yikuan Li, Prakash Adekkanattu, Jennifer A. Pacheco, Borna Bonakdarpour, Robert Vassar, Li Shen, Guoqian Jiang, Fei Wang, Jyotishman Pathak, Yuan Luo
AD-BERT: Using pre-trained language model to predict the progression from mild cognitive impairment to Alzheimer's disease. J. Biomed. Informatics 144 (2023)
Yikuan Li, Hanyin Wang, Halid Ziya Yerebakan, Yoshihisa Shinagawa, Yuan Luo
Enhancing Health Data Interoperability with Large Language Models: A FHIR Study. CoRR (2023)
Zheng Yu, Yikuan Li, Joseph Kim, Kaixuan Huang, Yuan Luo, Mengdi Wang
Deep Reinforcement Learning for Cost-Effective Medical Diagnosis. CoRR (2023)
Yikuan Li, Chengsheng Mao, Kaixuan Huang, Hanyin Wang, Zheng Yu, Mengdi Wang, Yuan Luo
Deep Reinforcement Learning for Efficient and Fair Allocation of Health Care Resources. CoRR (2023)
Hanyin Wang, Meghan R. Hutch, Yikuan Li, Adrienne S. Kline, Sebastian Otero, Leena B. Mithal, Emily S. Miller, Andrew Naidech, Yuan Luo
Deep Learning Reveals Patterns of Diverse and Changing Sentiments Towards COVID-19 Vaccines Based on 11 Million Tweets. CoRR (2022)
Yikuan Li, Mohammad Mamouei, Shishir Rao, Abdelaali Hassaïne, Dexter Canoy, Thomas Lukasiewicz, Kazem Rahimi, Gholamreza Salimi Khorshidi
Clinical outcome prediction under hypothetical interventions - a representation learning framework for counterfactual reasoning. CoRR (2022)
Yikuan Li, Ramsey M. Wehbe, Faraz S. Ahmad, Hanyin Wang, Yuan Luo
Clinical-Longformer and Clinical-BigBird: Transformers for long clinical sequences. CoRR (2022)
Shishir Rao, Mohammad Mamouei, Gholamreza Salimi Khorshidi, Yikuan Li, Rema Ramakrishnan, Abdelaali Hassaïne, Dexter Canoy, Kazem Rahimi
Targeted-BEHRT: Deep learning for observational causal inference on longitudinal electronic health records. CoRR (2022)
Adrienne S. Kline, Hanyin Wang, Yikuan Li, Saya R. Dennis, Meghan Hutch, Zhenxing Xu, Fei Wang, Feixiong Cheng, Yuan Luo
Multimodal Machine Learning in Precision Health. CoRR (2022)
Shishir Rao, Yikuan Li, Rema Ramakrishnan, Abdelaali Hassaïne, Dexter Canoy, John G. F. Cleland, Thomas Lukasiewicz, Gholamreza Salimi Khorshidi, Kazem Rahimi
An Explainable Transformer-Based Deep Learning Model for the Prediction of Incident Heart Failure. IEEE J. Biomed. Health Informatics 26 (7) (2022)
Chengsheng Mao, Jie Xu, Luke V. Rasmussen, Yikuan Li, Prakash Adekkanattu, Jennifer A. Pacheco, Borna Bonakdarpour, Robert Vassar, Guoqian Jiang, Fei Wang, Jyotishman Pathak, Yuan Luo
AD-BERT: Using Pre-trained contextualized embeddings to Predict the Progression from Mild Cognitive Impairment to Alzheimer's Disease. CoRR (2022)
Adrienne S. Kline, Hanyin Wang, Yikuan Li, Saya R. Dennis, Meghan Hutch, Zhenxing Xu, Fei Wang, Feixiong Cheng, Yuan Luo
Multimodal machine learning in precision health: A scoping review. npj Digit. Medicine 5 (2022)
Hanyin Wang, Yikuan Li, Andrew Naidech, Yuan Luo
Comparison between machine learning methods for mortality prediction for sepsis patients with different social determinants. BMC Medical Informatics Decis. Mak. 22 (1) (2022)
Jiyoung Shin, Yikuan Li, Yuan Luo
Early Prediction of Mortality in Critical Care Setting in Sepsis Patients Using Structured Features and Unstructured Clinical Notes. CoRR (2021)
Yikuan Li, Shishir Rao, Mohammad Mamouei, Gholamreza Salimi Khorshidi, Dexter Canoy, Abdelaali Hassaïne, Thomas Lukasiewicz
Risk factor identification for incident heart failure using neural network distillation and variable selection. CoRR (2021)
Hanyin Wang, Yikuan Li, Andrew Naidech, Yuan Luo
Disparities in Social Determinants among Performances of Mortality Prediction with Machine Learning for Sepsis Patients. CoRR (2021)
Yikuan Li, Mohammad Mamouei, Gholamreza Salimi Khorshidi, Shishir Rao, Abdelaali Hassaïne, Dexter Canoy, Thomas Lukasiewicz, Kazem Rahimi
Hi-BEHRT: Hierarchical Transformer-based model for accurate prediction of clinical events using multimodal longitudinal electronic health records. CoRR (2021)
Jiyoung Shin, Yikuan Li, Yuan Luo
Early Prediction of Mortality in Critical Care Setting in Sepsis Patients Using Structured Features and Unstructured Clinical Notes. BIBM (2021)
José Roberto Ayala Solares, Yajie Zhu, Abdelaali Hassaïne, Shishir Rao, Yikuan Li, Mohammad Mamouei, Dexter Canoy, Kazem Rahimi, Gholamreza Salimi Khorshidi
Transfer Learning in Electronic Health Records through Clinical Concept Embedding. CoRR (2021)
Shishir Rao, Yikuan Li, Rema Ramakrishnan, Abdelaali Hassaïne, Dexter Canoy, John Cleland, Thomas Lukasiewicz, Gholamreza Salimi Khorshidi, Kazem Rahimi
An explainable Transformer-based deep learning model for the prediction of incident heart failure. CoRR (2021)
Yikuan Li, Hanyin Wang, Yuan Luo
A Comparison of Pre-trained Vision-and-Language Models for Multimodal Representation Learning across Medical Images and Reports. BIBM (2020)
Abdelaali Hassaïne, Dexter Canoy, José Roberto Ayala Solares, Yajie Zhu, Shishir Rao, Yikuan Li, Mariagrazia Zottoli, Kazem Rahimi, Gholamreza Salimi Khorshidi
Learning multimorbidity patterns from electronic health records using Non-negative Matrix Factorisation. J. Biomed. Informatics 112 (2020)
Yikuan Li, Shishir Rao, Abdelaali Hassaïne, Rema Ramakrishnan, Yajie Zhu, Dexter Canoy, Gholamreza Salimi Khorshidi, Thomas Lukasiewicz, Kazem Rahimi
Deep Bayesian Gaussian Processes for Uncertainty Estimation in Electronic Health Records. CoRR (2020)
Hanyin Wang, Yikuan Li, Seema A. Khan, Yuan Luo
Prediction of breast cancer distant recurrence using natural language processing and knowledge-guided convolutional neural network. Artif. Intell. Medicine 110 (2020)
Yikuan Li, Hanyin Wang, Yuan Luo
A Comparison of Pre-trained Vision-and-Language Models for Multimodal Representation Learning across Medical Images and Reports. CoRR (2020)
Abdelaali Hassaïne, Dexter Canoy, José Roberto Ayala Solares, Yajie Zhu, Shishir Rao, Yikuan Li, Kazem Rahimi, Gholamreza Salimi Khorshidi
Learning Multimorbidity Patterns from Electronic Health Records Using Non-negative Matrix Factorisation. CoRR (2019)
Hanyin Wang, Yikuan Li, Hongyan Ning, John Wilkins, Donald Lloyd-Jones, Yuan Luo
Using Machine Learning to Integrate Socio-Behavioral Factors in Predicting Cardiovascular-Related Mortality Risk. MedInfo (2019)
Yikuan Li, Shishir Rao, José Roberto Ayala Solares, Abdelaali Hassaïne, Dexter Canoy, Yajie Zhu, Kazem Rahimi, Gholamreza Salimi Khorshidi
BEHRT: Transformer for Electronic Health Records. CoRR (2019)
Yikuan Li, Liang Yao, Chengsheng Mao, Anand Srivastava, Xiaoqian Jiang, Yuan Luo
Early Prediction of Acute Kidney Injury in Critical Care Setting Using Clinical Notes. BIBM (2018)
Yikuan Li, Liang Yao, Chengsheng Mao, Anand Srivastava, Xiaoqian Jiang, Yuan Luo
Early Prediction of Acute Kidney Injury in Critical Care Setting Using Clinical Notes. CoRR (2018)