Early Prediction of Acute Kidney Injury in Critical Care Setting Using Clinical Notes. - Yikuan Li; Liang Yao; Chengsheng Mao; Anand Srivastava; Xiaoqian Jiang; Yuan Luo 001 (BIBM, 2018)

Using Machine Learning to Integrate Socio-Behavioral Factors in Predicting Cardiovascular-Related Mortality Risk. - Hanyin Wang; Yikuan Li; Hongyan Ning; John Wilkins; Donald Lloyd-Jones; Yuan Luo 001 (MedInfo, 2019)

Learning Multimorbidity Patterns from Electronic Health Records Using Non-negative Matrix Factorisation. - Abdelaali Hassaïne; Dexter Canoy; José Roberto Ayala Solares; Yajie Zhu; Shishir Rao; Yikuan Li; Kazem Rahimi; Gholamreza Salimi Khorshidi (CoRR, 2019)

BEHRT: Transformer for Electronic Health Records. - Yikuan Li; Shishir Rao; José Roberto Ayala Solares; Abdelaali Hassaïne; Dexter Canoy; Yajie Zhu; Kazem Rahimi; Gholamreza Salimi Khorshidi (CoRR, 2019)

A Comparison of Pre-trained Vision-and-Language Models for Multimodal Representation Learning across Medical Images and Reports. - Yikuan Li; Hanyin Wang; Yuan Luo 001 (BIBM, 2020)

Prediction of breast cancer distant recurrence using natural language processing and knowledge-guided convolutional neural network. - Hanyin Wang; Yikuan Li; Seema A. Khan; Yuan Luo 001 (Artif. Intell. Medicine, 2020)

Deep Bayesian Gaussian Processes for Uncertainty Estimation in Electronic Health Records. - Yikuan Li; Shishir Rao; Abdelaali Hassaïne; Rema Ramakrishnan; Yajie Zhu; Dexter Canoy; Gholamreza Salimi Khorshidi; Thomas Lukasiewicz; Kazem Rahimi (CoRR, 2020)

Learning multimorbidity patterns from electronic health records using Non-negative Matrix Factorisation. - Abdelaali Hassaïne; Dexter Canoy; José Roberto Ayala Solares; Yajie Zhu; Shishir Rao; Yikuan Li; Mariagrazia Zottoli; Kazem Rahimi; Gholamreza Salimi Khorshidi (J. Biomed. Informatics, 2020)

Early Prediction of Mortality in Critical Care Setting in Sepsis Patients Using Structured Features and Unstructured Clinical Notes. - Jiyoung Shin; Yikuan Li; Yuan Luo 001 (BIBM, 2021)

Risk factor identification for incident heart failure using neural network distillation and variable selection. - Yikuan Li; Shishir Rao; Mohammad Mamouei; Gholamreza Salimi Khorshidi; Dexter Canoy; Abdelaali Hassaïne; Thomas Lukasiewicz (CoRR, 2021)

Transfer Learning in Electronic Health Records through Clinical Concept Embedding. - José Roberto Ayala Solares; Yajie Zhu; Abdelaali Hassaïne; Shishir Rao; Yikuan Li; Mohammad Mamouei; Dexter Canoy; Kazem Rahimi; Gholamreza Salimi Khorshidi (CoRR, 2021)

Disparities in Social Determinants among Performances of Mortality Prediction with Machine Learning for Sepsis Patients. - Hanyin Wang; Yikuan Li; Andrew Naidech; Yuan Luo 001 (CoRR, 2021)

Clinical-Longformer and Clinical-BigBird: Transformers for long clinical sequences. - Yikuan Li; Ramsey M. Wehbe; Faraz S. Ahmad; Hanyin Wang; Yuan Luo 001 (CoRR, 2022)

Multimodal Machine Learning in Precision Health. - Adrienne S. Kline; Hanyin Wang; Yikuan Li; Saya R. Dennis; Meghan Hutch; Zhenxing Xu; Fei Wang 001; Feixiong Cheng; Yuan Luo 001 (CoRR, 2022)

Clinical outcome prediction under hypothetical interventions - a representation learning framework for counterfactual reasoning. - Yikuan Li; Mohammad Mamouei; Shishir Rao; Abdelaali Hassaïne; Dexter Canoy; Thomas Lukasiewicz; Kazem Rahimi; Gholamreza Salimi Khorshidi (CoRR, 2022)

Deep Learning Reveals Patterns of Diverse and Changing Sentiments Towards COVID-19 Vaccines Based on 11 Million Tweets. - Hanyin Wang; Meghan R. Hutch; Yikuan Li; Adrienne S. Kline; Sebastian Otero; Leena B. Mithal; Emily S. Miller; Andrew Naidech; Yuan Luo 001 (CoRR, 2022)

AD-BERT: Using Pre-trained contextualized embeddings to Predict the Progression from Mild Cognitive Impairment to Alzheimer's Disease. - Chengsheng Mao; Jie Xu 012; Luke V. Rasmussen; Yikuan Li; Prakash Adekkanattu; Jennifer A. Pacheco; Borna Bonakdarpour; Robert Vassar; Guoqian Jiang; Fei Wang 001; Jyotishman Pathak; Yuan Luo 001 (CoRR, 2022)

Comparison between machine learning methods for mortality prediction for sepsis patients with different social determinants. - Hanyin Wang; Yikuan Li; Andrew Naidech; Yuan Luo 001 (BMC Medical Informatics Decis. Mak., 2022)

Multimodal machine learning in precision health: A scoping review. - Adrienne S. Kline; Hanyin Wang; Yikuan Li; Saya R. Dennis; Meghan Hutch; Zhenxing Xu; Fei Wang 001; Feixiong Cheng; Yuan Luo 001 (npj Digit. Medicine, 2022)

An Explainable Transformer-Based Deep Learning Model for the Prediction of Incident Heart Failure. - Shishir Rao; Yikuan Li; Rema Ramakrishnan; Abdelaali Hassaïne; Dexter Canoy; John G. F. Cleland; Thomas Lukasiewicz; Gholamreza Salimi Khorshidi; Kazem Rahimi (IEEE J. Biomed. Health Informatics, 2022)

Deep Reinforcement Learning for Cost-Effective Medical Diagnosis. - Zheng Yu; Yikuan Li; Joseph C. Kim; Kaixuan Huang; Yuan Luo 001; Mengdi Wang (ICLR, 2023)

Deep Reinforcement Learning for Efficient and Fair Allocation of Health Care Resources. - Yikuan Li; Chengsheng Mao; Kaixuan Huang; Hanyin Wang; Zheng Yu; Mengdi Wang; Yuan Luo 001 (CoRR, 2023)

Enhancing Health Data Interoperability with Large Language Models: A FHIR Study. - Yikuan Li; Hanyin Wang; Halid Ziya Yerebakan; Yoshihisa Shinagawa; Yuan Luo 001 (CoRR, 2023)

A comparative study of pretrained language models for long clinical text. - Yikuan Li; Ramsey M. Wehbe; Faraz S. Ahmad; Hanyin Wang; Yuan Luo 001 (J. Am. Medical Informatics Assoc., 2023)

Hi-BEHRT: Hierarchical Transformer-Based Model for Accurate Prediction of Clinical Events Using Multimodal Longitudinal Electronic Health Records. - Yikuan Li; Mohammad Mamouei; Gholamreza Salimi-Khorshidi; Shishir Rao; Abdelaali Hassaïne; Dexter Canoy; Thomas Lukasiewicz; Kazem Rahimi (IEEE J. Biomed. Health Informatics, 2023)

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. - Hanyin Wang; Yikuan Li; Meghan R. Hutch; Adrienne S. Kline; Sebastian Otero; Leena B. Mithal; Emily S. Miller; Andrew Naidech; Yuan Luo 001 (J. Am. Medical Informatics Assoc., 2023)

AD-BERT: Using pre-trained language model to predict the progression from mild cognitive impairment to Alzheimer's disease. - Chengsheng Mao; Jie Xu 012; Luke V. Rasmussen; Yikuan Li; Prakash Adekkanattu; Jennifer A. Pacheco; Borna Bonakdarpour; Robert Vassar; Li Shen; Guoqian Jiang; Fei Wang 001; Jyotishman Pathak; et al. (J. Biomed. Informatics, 2023)

Structural simulation and selective inhibitor discovery study for histone demethylases KDM4E/6B from a computational perspective. - Chenxiao Wang; Baichun Hu; Yi Yang; Yihan Wang; Juyue Qin; Xiaolian Wen; Yikuan Li; Hui Li; Yutong Wang; Jian Wang 019; Yang Liu (Comput. Biol. Chem., 2024)

Targeted-BEHRT: Deep Learning for Observational Causal Inference on Longitudinal Electronic Health Records. - Shishir Rao; Mohammad Mamouei; Gholamreza Salimi-Khorshidi; Yikuan Li; Rema Ramakrishnan; Abdelaali Hassaïne; Dexter Canoy; Kazem Rahimi (IEEE Trans. Neural Networks Learn. Syst., 2024)

Collaborative Resource for Intensive care Translational science, Informatics, Comprehensive Analytics, and Learning (CRITICAL). - Yuan Luo 001; Luke V. Rasmussen; Andrew Williams 005; Jared Houghtaling; Andrew P. Michelson; Philip R. O. Payne; James J. Cimino; John D. Osborne; Prasanth Nannapaneni; Yikuan Li; Saki Amagai; Meghan Hutch; et al. (Zenodo, 2024)

Leveraging large language models for academic conference organization. - Yuan Luo 001; Yikuan Li; Omolola Ogunyemi; Eileen Koski; Blanca E. Himes (npj Digit. Medicine, 2025)