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2020 – today
- 2023
[j6]Meina Zhang, Linzee Zhu, Shih-Yin Lin
, Keela Herr, Chih-Lin Chi, Ibrahim Demir, Karen Dunn Lopez, Nai-Ching Chi:
Using artificial intelligence to improve pain assessment and pain management: a scoping review. J. Am. Medical Informatics Assoc. 30(3): 570-587 (2023)- 2022
- [j5]Chih-Lin Chi, Jin Wang, Pui Ying Yew, Tatiana Lenskaia, Matt Loth, Prajwal Mani Pradhan, Yue Liang, Prashanth Kurella, Rishabh Mehta, Jennifer G. Robinson, Peter J. Tonellato, Terrence J. Adam:
Producing personalized statin treatment plans to optimize clinical outcomes using big data and machine learning. J. Biomed. Informatics 128: 104029 (2022)
2010 – 2019
- 2018
- [c11]Grace Gao, David S. Pieczkiewicz, Madeleine J. Kerr, Ruth Lindquist, Chih-Lin Chi, Sasank Maganti, Robin Austin, Mary Jo Kreitzer, Katherine A. Todd, Karen A. Monsen:
Exploring Older Adults' Strengths, Problems, and Wellbeing Using De-identified Electronic Health Record Data. AMIA 2018 - [c10]Chih-Lin Chi, Xinpeng Shen, Kourosh Ravvaz, John Weissert, Peter J. Tonellato:
Personalize Warfarin Trearment by Optimizing Protocol Assignment. ICHI 2018: 388-389 - [c9]Chih-Lin Chi, Lu He, Kourosh Ravvaz, John Weissert, Peter J. Tonellato:
Using simulation and optimization approach to improve outcome through warfarin precision treatment. PSB 2018: 412-423 - 2017
- [j4]Chih-Lin Chi, Wenjun Zeng, Wonsuk Oh, Soo Borson, Tatiana Lenskaia, Xinpeng Shen, Peter J. Tonellato:
Personalized long-term prediction of cognitive function: Using sequential assessments to improve model performance. J. Biomed. Informatics 76: 78-86 (2017) - [c8]Grace Gao, Madeleine J. Kerr, Ruth Lindquist, Chih-Lin Chi, Karen A. Monsen:
An Exploratory Study of Older Adults' Strengths, Needs, and Outcomes Using Electronic Health Record Data in a Senior Living Community. AMIA 2017 - [c7]Wenjun Zeng, Si-Chi Chin, Brenda Zeimet, Rui Kuang, Chih-Lin Chi:
Dropout Prediction in Home Care Training. EDM 2017 - 2016
- [c6]Chih-Lin Chi, Wonsuk Oh, Soo Borson:
Explore Feasibility of Personalized Algorithms to Predict Long-Term Cognitive Changes and Optimize Dementia Outcomes. CRI 2016 - [c5]Chih-Lin Chi, Kourosh Ravvaz, John Weissert, Peter J. Tonellato:
Optimal decision support rules improve personalize warfarin treatment outcomes. EMBC 2016: 2594-2597 - 2015
- [c4]Chih-Lin Chi, Wonsuk Oh, Soo Borson:
Feasibility Study of a Machine Learning Approach to Predict Dementia Progression. ICHI 2015: 450 - 2014
- [c3]Chih-Lin Chi, Peter J. Tonellato:
Discover Improved-Outcome Evidence for Personalized Treatment from Electronic Health Records (EHR). AMIA 2014 - 2012
- [j3]Chih-Lin Chi, W. Nick Street, Jennifer G. Robinson, Matthew A. Crawford:
Individualized patient-centered lifestyle recommendations: An expert system for communicating patient specific cardiovascular risk information and prioritizing lifestyle options. J. Biomed. Informatics 45(6): 1164-1174 (2012) - 2010
- [j2]Chih-Lin Chi, W. Nick Street, David A. Katz:
A decision support system for cost-effective diagnosis. Artif. Intell. Medicine 50(3): 149-161 (2010) - [c2]Chih-Lin Chi, Peter J. Kos, Vincent A. Fusaro, Rimma Pivovarov, Prasad Patil, Peter J. Tonellato:
Mining personalized medicine algorithms with surrogate algorithm tags. IHI 2010: 474-478
2000 – 2009
- 2008
- [j1]Chih-Lin Chi, W. Nick Street, Marcia M. Ward:
Building a hospital referral expert system with a Prediction and Optimization-Based Decision Support System algorithm. J. Biomed. Informatics 41(2): 371-386 (2008) - 2007
- [c1]Chih-Lin Chi, W. Nick Street, William H. Wolberg:
Application of Artificial Neural Network-Based Survival Analysis on Two Breast Cancer Datasets. AMIA 2007
Coauthor Index
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