Wei-Hsuan Lo-Ciganic

According to our database, Wei-Hsuan Lo-Ciganic authored at least 9 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Using human factors methods to mitigate bias in artificial intelligence-based clinical decision support.

Laura G. Militello, Julie Diiulio, Debbie L. Wilson, Khoa A. Nguyen, Christopher A. Harle, Walid Gellad, Wei-Hsuan Lo-Ciganic

J. Am. Medical Informatics Assoc., 2025

Development and Validation of Machine-Learning Algorithms to Predict the Onset of Depression Using Electronic Health Record Data: A Prognostic Modeling Study.

Frances R. Chen, James L. Huang, Debbie L. Wilson, Wei-Hsuan Jenny Lo-Ciganic

Proceedings of the MEDINFO 2025 - Healthcare Smart × Medicine Deep, 2025

2024

Deep learning for identifying personal and family history of suicidal thoughts and behaviors from EHRs.

Prakash Adekkanattu, Al'ona Furmanchuk, Yonghui Wu, Aman Pathak, Braja Gopal Patra, Sarah Bost, Destinee Morrow, Grace Hsin-Min Wang, Yuyang Yang, Noah James Forrest, Yuan Luo, Theresa L. Walunas, Wei-Hsuan Lo-Ciganic, Walid Gelad, Jiang Bian, Yuhua Bao, Mark G. Weiner, David W. Oslin, Jyotishman Pathak

npj Digit. Medicine, 2024

Identifying social determinants of health from clinical narratives: A study of performance, documentation ratio, and potential bias.

Zehao Yu, Cheng Peng, Xi Yang, Chong Dang, Prakash Adekkanattu, Braja Gopal Patra, Yifan Peng, Jyotishman Pathak, Debbie L. Wilson, Ching-Yuan Chang, Wei-Hsuan Lo-Ciganic, Thomas J. George, William R. Hogan, Yi Guo, Jiang Bian, Yonghui Wu

J. Biomed. Informatics, 2024

Improving Generalizability of Extracting Social Determinants of Health Using Large Language Models through Prompt-tuning.

Cheng Peng, Zehao Yu, Kaleb E. Smith, Wei-Hsuan Lo-Ciganic, Jiang Bian, Yonghui Wu

CoRR, 2024

An explainable machine learning framework for predicting the risk of buprenorphine treatment discontinuation for opioid use disorder among commercially insured individuals.

Jabed Al Faysal, Md. Noor-E.-Alam, Gary J. Young, Wei-Hsuan Lo-Ciganic, Amie J. Goodin, James L. Huang, Debbie L. Wilson, Tae Woo Park, Md Mahmudul Hasan

Comput. Biol. Medicine, 2024

2022

SODA: A Natural Language Processing Package to Extract Social Determinants of Health for Cancer Studies.

Zehao Yu, Xi Yang, Chong Dang, Prakash Adekkanattu, Braja Gopal Patra, Yifan Peng, Jyotishman Pathak, Debbie L. Wilson, Ching-Yuan Chang, Wei-Hsuan Lo-Ciganic, Thomas J. George, William R. Hogan, Yi Guo, Jiang Bian, Yonghui Wu

CoRR, 2022

2020

Identifying Clinical Risk Factors for Opioid Use Disorder using a Distributed Algorithm to Combine Real-World Data from a Large Clinical Data Research Network.

Jiayi Tong, Zhaoyi Chen, Rui Duan, Wei-Hsuan Lo-Ciganic, Tianchen Lyu, Cui Tao, Peter A. Merkel, Henry R. Kranzler, Jiang Bian, Yong Chen

Proceedings of the AMIA 2020, 2020

2019

A Prior Knowledge Based Neural Attention Model for Opioid Topic Identification.

Riheng Yao, Qiudan Li, Wei-Hsuan Lo-Ciganic, Daniel Dajun Zeng

Proceedings of the 2019 IEEE International Conference on Intelligence and Security Informatics, 2019