Yi-Ju Tseng

31 papers A 2B 1C 1Misc 1Journal 19Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
LF2L: Loss Fusion Horizontal Federated Learning Across Heterogeneous Feature Spaces Using External Datasets Effectively: A Case Study in Second Primary Cancer Prediction.
CoRR
Chia-Fu Lin, Yi-Ju Tseng
2026 J jnl
NPCNet: Navigator-Driven Pseudo Text for Deep Clustering of Early Sepsis Phenotyping.
CoRR
Pi-Ju Tsai, Charkkri Limbud, Kuan-Fu Chen, Yi-Ju Tseng
2025 — conf
Evaluation of Federated Learning Using Standardized EHR Data in Japan.
MedInfo
Koutarou Matsumoto, Saori Tou, Yuta Nakamura, Asato Hashinokuchi, Fumihiko Kinoshita, Hideki Nakaguma, Yukio Kozuma, Rui Sugeta, Yi-Ju Tseng, Yasunobu Nohara, Takanori Yamashita, Yoshifumi Wakata, Tomoyoshi Takenaka, Kazunori Iwatani, Hidehisa Soejima, Naoki Nakashima, Masahiro Kamouchi
2025 J jnl
KAT-GNN: A Knowledge-Augmented Temporal Graph Neural Network for Risk Prediction in Electronic Health Records.
CoRR
Kun-Wei Lin, Yu-Chen Kuo, Hsin-Yao Wang, Yi-Ju Tseng
2025 J jnl
MedM2T: A MultiModal Framework for Time-Aware Modeling with Electronic Health Record and Electrocardiogram Data.
CoRR
Yu-Chen Kuo, Yi-Ju Tseng
2025 C conf
Prompt Learner for Industrial Anomaly Detection: Towards Generalizable Multimodal Defect.
ICMLA
Yen-Han Chiang, Pablo Mollá, Yi-Lun Pan, Yi-Ju Tseng, Vincent S. Tseng
2025 J jnl
SG-XDEAT: Sparsity-Guided Cross-Dimensional and Cross-Encoding Attention with Target-Aware Conditioning in Tabular Learning.
CoRR
Chih-Chuan Cheng, Yi-Ju Tseng
2024 A conf
Graph-Based Temporal Attention for Coronary Artery Disease Prediction Using Electronic Health Records.
ICS
Kun-Wei Lin, Kuan-Hui Liu, Hsin-Yao Wang, Yi-Ju Tseng
2024 J jnl
Identifying heterogeneous subgroups of systemic autoimmune diseases by applying a joint dimension reduction and clustering approach to immunomarkers.
BioData Min.
Chia-Wei Chang, Hsin-Yao Wang, Wan-Ying Lin, Yu-Chiang Wang, Wei-Lin Lo, Ting-Wei Lin, Jia-Ruei Yu, Yi-Ju Tseng
2024 J jnl
MoCab: A framework for the deployment of machine learning models across health information systems.
Comput. Methods Programs Biomed.
Zhe-Ming Kuo, Kuan-Fu Chen, Yi-Ju Tseng
2024 J jnl
The Pareto type I joint frailty-copula model for clustered bivariate survival data.
Commun. Stat. Simul. Comput.
Yuan-Hsin Lin, Li-Hsien Sun, Yi-Ju Tseng, Takeshi Emura
2023 J jnl
Engaging a national-scale cohort of smart thermometer users in participatory surveillance.
npj Digit. Medicine
Yi-Ju Tseng, Karen L. Olson, Danielle Bloch, Kenneth D. Mandl
2023 — conf
MoCab: A Model Management System Based on FHIR for Clinical Decision Support.
MedInfo
Zhe-Ming Kuo, Yi-Ju Tseng
2023 J jnl
Self-supervised based general laboratory progress pretrained model for cardiovascular event detection.
CoRR
Li-Chin Chen, Kuo-Hsuan Hung, Yi-Ju Tseng, Hsin-Yao Wang, Tse-Min Lu, Wei-Chieh Huang, Yu Tsao
2023 — conf
Temporal Phenotype Matrix Engineering for Electronic Health Records - Enhancing Coronary Artery Disease Prediction.
BHI
Kuan-Hui Liu, Cheng-Yu Chiang, Hsin-Yao Wang, Yi-Ju Tseng
2023 J jnl
lab: an R package for generating analysis-ready data from laboratory records.
PeerJ Comput. Sci.
Yi-Ju Tseng, Chun Ju Chen, Chia Wei Chang
2022 J jnl
International comparisons of laboratory values from the 4CE collaborative to predict COVID-19 mortality.
npj Digit. Medicine
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
2022 — conf
Performance vs. Privacy: Evaluating the Performance of Predicting Second Primary Cancer in Lung Cancer Survivors with Privacy-preserving Approaches.
BHI
Jui-Fu Hong, Yi-Ju Tseng
2021 — conf
Machine Learning Based Risk Prediction Models for Oral Squamous Cell Carcinoma Using Salivary Biomarkers.
MIE
Yi-Cheng Wang, Pei-Chun Hsueh, Chih-Ching Wu, Yi-Ju Tseng
2021 J jnl
Machine-learning-based predictions of direct-acting antiviral therapy duration for patients with hepatitis C.
Int. J. Medical Informatics
Theodore C. Feldman, Jules L. Dienstag, Kenneth D. Mandl, Yi-Ju Tseng
2019 J jnl
Predicting breast cancer metastasis by using serum biomarkers and clinicopathological data with machine learning technologies.
Int. J. Medical Informatics
Yi-Ju Tseng, Chuan-En Huang, Chiao-Ni Wen, Po-Yin Lai, Min-Hsien Wu, Yu-Chen Sun, Hsin-Yao Wang, Jang-Jih Lu
2018 J jnl
Predicting post-stroke activities of daily living through a machine learning-based approach on initiating rehabilitation.
Int. J. Medical Informatics
Wan-Yin Lin, Chun-Hsien Chen, Yi-Ju Tseng, Yu-Ting Tsai, Ching-Yu Chang, Hsin-Yao Wang, Chih-Kuang Chen
2016 Misc conf
Diagnostic Journeys of Patients Evaluated for Lyme Disease and Given Extended Antibiotic Therapy.
AMIA
Yi-Ju Tseng, Alfred DeMaria, Donald A. Goldmann, Kenneth D. Mandl
2015 J jnl
A multiple measurements case-based reasoning method for predicting recurrent status of liver cancer patients.
Comput. Ind.
Xiao-Ou Ping, Yi-Ju Tseng, Yan-Po Lin, Hsiang-Ju Chiu, Feipei Lai, Ja-Der Liang, Guan-Tarn Huang, Pei-Ming Yang
2015 J jnl
Multiple-Time-Series Clinical Data Processing for Classification With Merging Algorithm and Statistical Measures.
IEEE J. Biomed. Health Informatics
Yi-Ju Tseng, Xiao-Ou Ping, Ja-Der Liang, Pei-Ming Yang, Guan-Tarn Huang, Feipei Lai
2014 A conf
Missing Value Imputation on Multiple Measurements for Prediction of Liver Cancer Recurrence: A Comparative Study.
ICS
Xiao-Ou Ping, Yi-Ju Tseng, Ja-Der Liang, Guan-Tarn Huang, Pei-Ming Yang, Feipei Lai
2014 — conf
Multiple Time Series Data Processing for Classification with Period Merging Algorithm.
EUSPN/ICTH
Wei-Ti Su, Xiao-Ou Ping, Yi-Ju Tseng, Feipei Lai
2014 J jnl
Recurrence predictive models for patients with hepatocellular carcinoma after radiofrequency ablation using support vector machines with feature selection methods.
Comput. Methods Programs Biomed.
Ja-Der Liang, Xiao-Ou Ping, Yi-Ju Tseng, Guan-Tarn Huang, Feipei Lai, Pei-Ming Yang
2013 — conf
Rule-Based Healthcare-Associated Bloodstream Infection Classification and Surveillance System.
EFMI-STC
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
2012 J jnl
A Reliable User Authentication and Key Agreement Scheme for Web-Based Hospital-Acquired Infection Surveillance Information System.
J. Medical Syst.
Zhen Yu Wu, Yi-Ju Tseng, Yu-Fang Chung, Yee-Chun Chen, Feipei Lai
2012 B conf
Newborn Screening for Phenylketonuria: Machine Learning vs Clinicians.
ASONAM
Wei-Hsin Chen, Han-Ping Chen, Yi-Ju Tseng, Kai-Ping Hsu, Sheau-Ling Hsieh, Yin-Hsiu Chien, Wuh-Liang Hwu, Feipei Lai