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2020 – today
- 2024
[j13]Zhe-Ming Kuo
, Kuan-Fu Chen, Yi-Ju Tseng:
MoCab: A framework for the deployment of machine learning models across health information systems. Comput. Methods Programs Biomed. 255: 108336 (2024)- [j12]Yuan-Hsin Lin, Li-Hsien Sun, Yi-Ju Tseng, Takeshi Emura:
The Pareto type I joint frailty-copula model for clustered bivariate survival data. Commun. Stat. Simul. Comput. 53(4): 2006-2030 (2024) - 2023
- [j11]Yi-Ju Tseng, Karen L. Olson, Danielle Bloch, Kenneth D. Mandl:
Engaging a national-scale cohort of smart thermometer users in participatory surveillance. npj Digit. Medicine 6 (2023) - [j10]Yi-Ju Tseng, Chun Ju Chen, Chia Wei Chang:
lab: an R package for generating analysis-ready data from laboratory records. PeerJ Comput. Sci. 9: e1528 (2023) - [c9]Kuan-Hui Liu, Cheng-Yu Chiang, Hsin-Yao Wang, Yi-Ju Tseng:
Temporal Phenotype Matrix Engineering for Electronic Health Records - Enhancing Coronary Artery Disease Prediction. BHI 2023: 1-4 - [c8]Zhe-Ming Kuo, Yi-Ju Tseng:
MoCab: A Model Management System Based on FHIR for Clinical Decision Support. MedInfo 2023: 1384-1385 - [i1]Li-Chin Chen, Kuo-Hsuan Hung, Yi-Ju Tseng, Hsin-Yao Wang, Tse-Min Lu, Wei-Chieh Huang, Yu Tsao:
Self-supervised based general laboratory progress pretrained model for cardiovascular event detection. CoRR abs/2303.06980 (2023) - 2022
- [j9]Griffin M. Weber, Chuan Hong, Zongqi Xia, Nicolas Paris, Miguel Pedrera-Jiménez, Ashley C. Pfaff, Emily R. Pfaff, Danielle Pillion, Sara Pizzimenti, Hans-Ulrich Prokosch, Robson A. Prudente, Andrea Prunotto, Víctor Quirós-González, Maryna Raskin, Siegbert Rieg, Gustavo Roig-Domínguez, Pablo Rojo, Paula Rubio-Mayo, Paolo Sacchi, Carlos Sáez, Elisa Salamanca, Malarkodi Jebathilagam Samayamuthu, L. Nelson Sanchez-Pinto, Arnaud Sandrin, Nandhini Santhanam, Janaina C. C. Santos, Fernando J. Sanz Vidorreta, Maria Savino, Jürgen Schüttler, Luigia Scudeller, Neil J. Sebire, Pablo Serrano-Balazote, Patricia Serre, Arnaud Serret-Larmande, Mohsin Shah, Zahra Shakeri Hossein Abad, Domenick Silvio, Piotr Sliz, Jiyeon Son, Charles Sonday, Andrew M. South, Francesca Sperotto, Zachary H. Strasser, Bryce W. Q. Tan, Suzana E. Tanni, Deanne M. Taylor, Ana I. Terriza-Torres, Patric Tippmann, Emma M. S. Toh, Yi-Ju Tseng, Andrew K. Vallejos, Gaël Varoquaux, Margaret E. Vella, Guillaume Verdy, Jill-Jênn Vie, Michele Vitacca, Kavishwar B. Wagholikar, Lemuel R. Waitman, Demian Wassermann, Martin Wolkewitz, Scott Wong, Xin Xiong, Ye Ye, Nadir Yehya, William Yuan, Alberto Zambelli, Harrison G. Zhang, Daniela Zöller, Valentina Zuccaro, Chiara Zucco:
International comparisons of laboratory values from the 4CE collaborative to predict COVID-19 mortality. npj Digit. Medicine 5 (2022) - [c7]Jui-Fu Hong, Yi-Ju Tseng:
Performance vs. Privacy: Evaluating the Performance of Predicting Second Primary Cancer in Lung Cancer Survivors with Privacy-preserving Approaches. BHI 2022: 1-4 - 2021
- [j8]Theodore C. Feldman, Jules L. Dienstag, Kenneth D. Mandl, Yi-Ju Tseng:
Machine-learning-based predictions of direct-acting antiviral therapy duration for patients with hepatitis C. Int. J. Medical Informatics 154: 104562 (2021) - [j7]Yi-Ju Tseng, Hsiang-Ju Chiu, Chun Ju Chen:
dxpr: an R package for generating analysis-ready data from electronic health records - diagnoses and procedures. PeerJ Comput. Sci. 7: e520 (2021) - [c6]Yi-Cheng Wang, Pei-Chun Hsueh, Chih-Ching Wu, Yi-Ju Tseng:
Machine Learning Based Risk Prediction Models for Oral Squamous Cell Carcinoma Using Salivary Biomarkers. MIE 2021: 498-499
2010 – 2019
- 2019
- [j6]Yi-Ju Tseng, Chuan-En Huang, Chiao-Ni Wen, Po-Yin Lai, Min-Hsien Wu, Yu-Chen Sun, Hsin-Yao Wang, Jang-Jih Lu:
Predicting breast cancer metastasis by using serum biomarkers and clinicopathological data with machine learning technologies. Int. J. Medical Informatics 128: 79-86 (2019) - 2018
- [j5]Wan-Yin Lin, Chun-Hsien Chen, Yi-Ju Tseng, Yu-Ting Tsai, Ching-Yu Chang, Hsin-Yao Wang, Chih-Kuang Chen:
Predicting post-stroke activities of daily living through a machine learning-based approach on initiating rehabilitation. Int. J. Medical Informatics 111: 159-164 (2018) - 2016
- [c5]Yi-Ju Tseng, Alfred DeMaria, Donald A. Goldmann, Kenneth D. Mandl:
Diagnostic Journeys of Patients Evaluated for Lyme Disease and Given Extended Antibiotic Therapy. AMIA 2016 - 2015
- [j4]Xiao-Ou Ping, Yi-Ju Tseng, Yan-Po Lin, Hsiang-Ju Chiu, Feipei Lai, Ja-Der Liang, Guan-Tarn Huang, Pei-Ming Yang:
A multiple measurements case-based reasoning method for predicting recurrent status of liver cancer patients. Comput. Ind. 69: 12-21 (2015) - [j3]Yi-Ju Tseng, Xiao-Ou Ping, Ja-Der Liang, Pei-Ming Yang, Guan-Tarn Huang, Feipei Lai:
Multiple-Time-Series Clinical Data Processing for Classification With Merging Algorithm and Statistical Measures. IEEE J. Biomed. Health Informatics 19(3): 1036-1043 (2015) - 2014
- [j2]Ja-Der Liang, Xiao-Ou Ping, Yi-Ju Tseng, Guan-Tarn Huang, Feipei Lai, Pei-Ming Yang:
Recurrence predictive models for patients with hepatocellular carcinoma after radiofrequency ablation using support vector machines with feature selection methods. Comput. Methods Programs Biomed. 117(3): 425-434 (2014) - [c4]Wei-Ti Su, Xiao-Ou Ping, Yi-Ju Tseng, Feipei Lai:
Multiple Time Series Data Processing for Classification with Period Merging Algorithm. EUSPN/ICTH 2014: 301-308 - [c3]Xiao-Ou Ping, Yi-Ju Tseng, Ja-Der Liang, Guan-Tarn Huang, Pei-Ming Yang, Feipei Lai:
Missing Value Imputation on Multiple Measurements for Prediction of Liver Cancer Recurrence: A Comparative Study. ICS 2014: 1930-1939 - 2013
- [c2]Yi-Ju Tseng, Jung-Hsuan Wu, Hui-Chi Lin, Hsiang-Ju Chiu, Bo-Chiang Huang, Rung-Ji Shang, Ming-Yuan Chen, Wei-Hsin Chen, Huai-Te Chen, Feipei Lai, Yee-Chun Chen:
Rule-Based Healthcare-Associated Bloodstream Infection Classification and Surveillance System. EFMI-STC 2013: 145-149 - 2012
- [j1]Zhen Yu Wu, Yi-Ju Tseng, Yu-Fang Chung, Yee-Chun Chen, Feipei Lai:
A Reliable User Authentication and Key Agreement Scheme for Web-Based Hospital-Acquired Infection Surveillance Information System. J. Medical Syst. 36(4): 2547-2555 (2012) - [c1]Wei-Hsin Chen, Han-Ping Chen, Yi-Ju Tseng, Kai-Ping Hsu, Sheau-Ling Hsieh, Yin-Hsiu Chien, Wuh-Liang Hwu, Feipei Lai:
Newborn Screening for Phenylketonuria: Machine Learning vs Clinicians. ASONAM 2012: 798-803
Coauthor Index
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last updated on 2024-10-07 22:21 CEST by the dblp team
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