Tsung-Ting Kuo

64 papers A* 1B 3C 1Misc 9Journal 33Unranked 13

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Distributed, immutable, and transparent biomedical limited data set request management on multi-capacity network. J. Am. Medical Informatics Assoc. Yufei Yu, Maxim E. Edelson, Anh Pham, Jonathan E. Pekar, Brian Johnson, Kai W. Post, Tsung-Ting Kuo
2025	J	`jnl`	Supporting Patients in Managing Electronic Health Records and Biospecimens Consent for Research: Insights from a Mixed-Methods Usability Evaluation of the iAGREE Portal. CoRR Di Hu, Xi Lu, Yunan Chen, Michelle Keller, An T. Nguyen, Vu Le, Tsung-Ting Kuo, Lucila Ohno-Machado, Kai Zheng
2024	J	`jnl`	Biomedical blockchain with practical implementations and quantitative evaluations: a systematic review. J. Am. Medical Informatics Assoc. Roger Lacson, Yufei Yu, Tsung-Ting Kuo, Lucila Ohno-Machado
2024	J	`jnl`	Distributed management of patient data-sharing informed consents for clinical research. Comput. Biol. Medicine Anh Pham, Maxim E. Edelson, Armin Nouri, Tsung-Ting Kuo
2024	J	`jnl`	Early prediction of long hospital stay for Intensive Care units readmission patients using medication information. Comput. Biol. Medicine Min Zhang, Tsung-Ting Kuo
2023	J	`jnl`	A Collaborative Filtering-Based Two Stage Model with Item Dependency for Course Recommendation. CoRR Eric L. Lee, Tsung-Ting Kuo, Shou-De Lin
2023	J	`jnl`	A hierarchical strategy to minimize privacy risk when linking "De-identified" data in biomedical research consortia. J. Biomed. Informatics Lucila Ohno-Machado, Xiaoqian Jiang, Tsung-Ting Kuo, Shiqiang Tao, Luyao Chen, Pritham Ram, Guo-Qiang Zhang, Hua Xu
2023	J	`jnl`	Blockchain-enabled immutable, distributed, and highly available clinical research activity logging system for federated COVID-19 data analysis from multiple institutions. J. Am. Medical Informatics Assoc. Tsung-Ting Kuo, Anh Pham, Maxim E. Edelson, Jihoon Kim, Jason Chan, Yash Gupta, Lucila Ohno-Machado, David M. Anderson, Chandrasekar Balacha, Tyler Bath, Sally L. Baxter, Andrea Becker-Pennrich, Douglas S. Bell, Elmer V. Bernstam, Ngan Chau, Michele E. Day, Jason N. Doctor, Scott L. DuVall, Robert El-Kareh, Renato Florian, Robert W. Follett, Benjamin P. Geisler, Alessandro Ghigi, Assaf Gottlieb, Ludwig Christian G. Hinske, Zhaoxian Hu, Diana Ir, Xiaoqian Jiang, Katherine K. Kim, Tara K. Knight, Jejo D. Koola, Nelson Lee, Ulrich Mansmann, Michael E. Matheny, Daniella Meeker, Zongyang Mou, Larissa Neumann, Nghia H. Nguyen, Nick Anderson, Eunice Park, Paulina Paul, Mark J. Pletcher, Kai W. Post, Clemens Rieder, Clemens Scherer, Lisa M. Schilling, Andrey Soares, Spencer L. SooHoo, Ekin Soysal, Steven Covington, Brian Tep, Brian Toy, Baocheng Wang, Zhen R. Wu, Hua Xu, Yong K. Choi, Kai Zheng, Yujia Zhou, Rachel A Zucker
2023	J	`jnl`	Editorial: Blockchain and distributed ledger technology - enabled architectures for improving healthcare. Frontiers Blockchain Tsung-Ting Kuo, Peng Zhang
2023	J	`jnl`	Quorum-based model learning on a blockchain hierarchical clinical research network using smart contracts. Int. J. Medical Informatics Tsung-Ting Kuo, Anh Pham
2022	Misc	`conf`	COVID-19 Chest X-ray Image Clustering and Topic Modeling using Associated Publications. AMIA Megan Mun Li, Tsung-Ting Kuo
2022	J	`jnl`	Detecting model misconducts in decentralized healthcare federated learning. Int. J. Medical Informatics Tsung-Ting Kuo, Anh Pham
2022	Misc	`conf`	Existing and emerging privacy challenges and solutions for federated data coordination. AMIA Tsung-Ting Kuo, Xiaoqian Jiang, Hua Xu, Li Xiong, Lucila Ohno-Machado
2022	J	`jnl`	NLM's sponsorship of research in biomedical informatics (1985-2016). Inf. Serv. Use Tsung-Ting Kuo, Lucila Ohno-Machado
2022	J	`jnl`	The evolving privacy and security concerns for genomic data analysis and sharing as observed from the iDASH competition. J. Am. Medical Informatics Assoc. Tsung-Ting Kuo, Xiaoqian Jiang, Haixu Tang, Xiaofeng Wang, Arif Ozgun Harmanci, Miran Kim, Kai W. Post, Diyue Bu, Tyler Bath, Jihoon Kim, Weijie Liu, Hongbo Chen, Lucila Ohno-Machado
2021	J	`jnl`	Benchmarking blockchain-based gene-drug interaction data sharing methods: A case study from the iDASH 2019 secure genome analysis competition blockchain track. Int. J. Medical Informatics Tsung-Ting Kuo, Tyler Bath, Shuaicheng Ma, Nicholas D. Pattengale, Meng Yang, Yang Cao, Corey M. Hudson, Jihoon Kim, Kai W. Post, Li Xiong, Lucila Ohno-Machado
2021	Misc	`conf`	Early Prediction of Positive Clostridioides Difficile Test Results. AMIA Anh Pham, Robert El-Kareh, Lucila Ohno-Machado, Tsung-Ting Kuo
2021	J	`jnl`	Previewable Contract-Based On-Chain X-Ray Image Sharing Framework for Clinical Research. Int. J. Medical Informatics Megan Mun Li, Tsung-Ting Kuo
2020	J	`jnl`	EXpectation Propagation LOgistic REgRession on permissioned blockCHAIN (ExplorerChain): decentralized online healthcare/genomics predictive model learning. J. Am. Medical Informatics Assoc. Tsung-Ting Kuo, Rodney A. Gabriel, Krishna R. Cidambi, Lucila Ohno-Machado
2020	J	`jnl`	Privacy-preserving model learning on a blockchain network-of-networks. J. Am. Medical Informatics Assoc. Tsung-Ting Kuo, Jihoon Kim, Rodney A. Gabriel
2019	Misc	`conf`	Comparison of Smart Contract Blockchains for Healthcare Applications. AMIA Hongru Yu, Haiyang Sun, Danyi Wu, Tsung-Ting Kuo
2019	J	`jnl`	Comparison of blockchain platforms: a systematic review and healthcare examples. J. Am. Medical Informatics Assoc. Tsung-Ting Kuo, Hugo Zavaleta Rojas, Lucila Ohno-Machado
2019	Misc	`conf`	Current Applications of Blockchain Technology in Biomedical Research and Healthcare. AMIA Tsung-Ting Kuo, Amar Das, Kim Augustine, Peng Dana Zhang, Lucila Ohno-Machado
2019	J	`jnl`	Fair compute loads enabled by blockchain: sharing models by alternating client and server roles. J. Am. Medical Informatics Assoc. Tsung-Ting Kuo, Rodney A. Gabriel, Lucila Ohno-Machado
2018	J	`jnl`	Identifying and characterizing highly similar notes in big clinical note datasets. J. Biomed. Informatics Rodney A. Gabriel, Tsung-Ting Kuo, Julian J. McAuley, Chun-Nan Hsu
2018	J	`jnl`	ModelChain: Decentralized Privacy-Preserving Healthcare Predictive Modeling Framework on Private Blockchain Networks. CoRR Tsung-Ting Kuo, Lucila Ohno-Machado
2018	—	`ch.`	Opinion Diffusion and Analysis on Social Networks. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. Cheng-Te Li, Hsun-Ping Hsieh, Tsung-Ting Kuo, Shou-De Lin
2018	J	`jnl`	The Impact of Automatic Pre-annotation in Clinical Note Data Element Extraction - the CLEAN Tool. CoRR Tsung-Ting Kuo, Jina Huh, Jihoon Kim, Robert E. El-Kareh, Siddharth Singh, Stephanie Feudjio Feupe, Vincent Kuri, Gordon Lin, Michele E. Day, Lucila Ohno-Machado, Chun-Nan Hsu
2017	B	`conf`	A Collaborative Filtering-Based Two Stage Model with Item Dependency for Course Recommendation. DSAA Eric L. Lee, Tsung-Ting Kuo, Shou-De Lin
2017	J	`jnl`	Blockchain distributed ledger technologies for biomedical and health care applications. J. Am. Medical Informatics Assoc. Tsung-Ting Kuo, Hyeon-Eui Kim, Lucila Ohno-Machado
2017	J	`jnl`	Deduplication in a massive clinical note dataset. CoRR Sanjeev Shenoy, Tsung-Ting Kuo, Rodney A. Gabriel, Julian J. McAuley, Chun-Nan Hsu
2017	Misc	`conf`	The presence of highly similar notes within the MIMIC-III dataset. AMIA Rodney A. Gabriel, Sanjeev Shenoy, Tsung-Ting Kuo, Julian J. McAuley, Chun-Nan Hsu
2017	J	`jnl`	bioPDFX: preparing PDF scientific articles for biomedical text mining. PeerJ Prepr. Shitij Bhargava, Tsung-Ting Kuo, Ankit Goyal, Vincent Kuri, Gordon Lin, Chun-Nan Hsu
2016	J	`jnl`	Enriching Cold Start Personalized Language Model Using Social Network Information. Int. J. Comput. Linguistics Chin. Lang. Process. Yu-Yang Huang, Rui Yan, Tsung-Ting Kuo, Shou-De Lin
2016	Misc	`conf`	Ensembles of NLP Tools for Data Element Extraction from Clinical Notes. AMIA Tsung-Ting Kuo, Pallavi Rao, Cleo K. Maehara, Son Doan, Juan D. Chaparro, Michele E. Day, Claudiu Farcas, Lucila Ohno-Machado, Chun-Nan Hsu
2016	J	`jnl`	Erratum to: Weakly supervised learning of biomedical information extraction from curated data. BMC Bioinform. Suvir Jain, Kashyap R. Tumkur, Tsung-Ting Kuo, Shitij Bhargava, Gordon Lin, Chun-Nan Hsu
2016	Misc	`conf`	Review and Evaluation of the State of Standardization of Computable Phenotype. AMIA Stephanie Feudjio Feupe, Ko-Wei Lin, Tsung-Ting Kuo, Chun-Nan Hsu, Hyeon-Eui Kim
2016	J	`jnl`	Weakly supervised learning of biomedical information extraction from curated data. BMC Bioinform. Suvir Jain, Kashyap R., Tsung-Ting Kuo, Shitij Bhargava, Gordon Lin, Chun-Nan Hsu
2015	—	`conf`	Novel Topic Diffusion Prediction using Latent Semantic and User Behavior. ASE BD&SI San-Chuan Hung, Tsung-Ting Kuo, Shou-De Lin
2014	—	`conf`	A Content-Based Matrix Factorization Model for Recipe Recommendation. PAKDD (2) Chia-Jen Lin, Tsung-Ting Kuo, Shou-De Lin
2014	—	`conf`	A Transfer-Learning Approach to Exploit Noisy Information for Classification and Its Application on Sentiment Detection. TAAI Wei-Shih Lin, Tsung-Ting Kuo, Yu-Yang Huang, Wan-Chen Lu, Shou-De Lin
2014	—	`conf`	Enriching Cold Start Personalized Language Model Using Social Network Information. ACL (2) Yu-Yang Huang, Rui Yan, Tsung-Ting Kuo, Shou-De Lin
2014	B	`conf`	Minimizing expected loss for risk-avoiding reinforcement learning. DSAA Jung-Jung Yeh, Tsung-Ting Kuo, William Chen, Shou-De Lin
2014	—	`ch.`	Opinion Diffusion and Analysis on Social Networks. Encyclopedia of Social Network Analysis and Mining Cheng-Te Li, Hsun-Ping Hsieh, Tsung-Ting Kuo, Shou-De Lin
2014	—	`ed.`	Proceedings of the Second Workshop on Natural Language Processing for Social Media, SocialNLP@COLING 2014, Dublin, Ireland, August 24, 2014 SocialNLP@COLING Shou-De Lin, Lun-Wei Ku, Erik Cambria, Tsung-Ting Kuo
2013	—	`conf`	Exploiting Temporal Information in a Two-Stage Classification Framework for Content-Based Depression Detection. PAKDD (1) Yu-Chun Shen, Tsung-Ting Kuo, I-Ning Yeh, Tzu-Ting Chen, Shou-De Lin
2013	J	`jnl`	Modeling and evaluating information propagation in a microblogging social network. Soc. Netw. Anal. Min. Cheng-Te Li, Tsung-Ting Kuo, Chien-Tung Ho, San-Chuan Hung, Wei-Shih Lin, Shou-De Lin
2013	—	`ed.`	Proceedings of the IJCNLP Workshop on Natural Language Processing for Social Media, SocialNLP@IJCNLP 2013, Nagoya, Japan, October 14 - 18, 2013 SocialNLP@IJCNLP Shou-De Lin, Lun-Wei Ku, Tsung-Ting Kuo
2013	A*	`conf`	Unsupervised link prediction using aggregative statistics on heterogeneous social networks. KDD Tsung-Ting Kuo, Rui Yan, Yu-Yang Huang, Perng-Hwa Kung, Shou-De Lin
2012	—	`conf`	A Linear Ensemble of Individual and Blended Models for Music Rating Prediction. KDD Cup Po-Lung Chen, Chen-Tse Tsai, Yao-Nan Chen, Ku-Chun Chou, Chun-Liang Li, Cheng-Hao Tsai, Kuan-Wei Wu, Yu-Cheng Chou, Chung-Yi Li, Wei-Shih Lin, Shu-Hao Yu, Rong-Bing Chiu, Chieh-Yen Lin, Chien-Chih Wang, Po-Wei Wang, Wei-Lun Su, Chen-Hung Wu, Tsung-Ting Kuo, Todd G. McKenzie, Ya-Hsuan Chang, Chun-Sung Ferng, Chia-Mau Ni, Hsuan-Tien Lin, Chih-Jen Lin, Shou-De Lin
2012	—	`conf`	Exploiting Latent Information to Predict Diffusions of Novel Topics on Social Networks. ACL (2) Tsung-Ting Kuo, San-Chuan Hung, Wei-Shih Lin, Nanyun Peng, Shou-De Lin, Wei-Fen Lin
2012	J	`jnl`	Exploiting Machine Learning Models for Chinese Legal Documents Labeling, Case Classification, and Sentencing Prediction. Int. J. Comput. Linguistics Chin. Lang. Process. Wan-Chen Lin, Tsung-Ting Kuo, Tung-Jia Chang, Chueh-An Yen, Chao-Ju Chen, Shou-De Lin
2012	—	`conf`	Novel Models and Ensemble Techniques to Discriminate Favorite Items from Unrated Ones for Personalized Music Recommendation. KDD Cup Todd G. McKenzie, Chun-Sung Ferng, Yao-Nan Chen, Chun-Liang Li, Cheng-Hao Tsai, Kuan-Wei Wu, Ya-Hsuan Chang, Chung-Yi Li, Wei-Shih Lin, Shu-Hao Yu, Chieh-Yen Lin, Po-Wei Wang, Chia-Mau Ni, Wei-Lun Su, Tsung-Ting Kuo, Chen-Tse Tsai, Po-Lung Chen, Rong-Bing Chiu, Ku-Chun Chou, Yu-Cheng Chou, Chien-Chih Wang, Chen-Hung Wu, Hsuan-Tien Lin, Chih-Jen Lin, Shou-De Lin
2012	Misc	`conf`	Prediction-based outlier detection with explanations. GrC Liang-Chieh Chen, Tsung-Ting Kuo, Wei-Chi Lai, Shou-De Lin, Chi-Hung Tsai
2012	—	`conf`	利用機器學習於中文法律文件之標記、案件分類及量刑預測 (Exploiting Machine Learning Models for Chinese Legal Documents Labeling, Case Classification, and Sentencing Prediction) [In Chinese]. ROCLING Wan-Chen Lin, Tsung-Ting Kuo, Tung-Jia Chang, Chueh-An Yen, Chao-Ju Chen, Shou-De Lin
2011	J	`jnl`	Learning-based concept-hierarchy refinement through exploiting topology, content and social information. Inf. Sci. Tsung-Ting Kuo, Shou-De Lin
2011	—	`conf`	Time-Aware Ranking in Dynamic Citation Networks. ICDM Workshops Rumi Ghosh, Tsung-Ting Kuo, Chun-Nan Hsu, Shou-De Lin, Kristina Lerman
2010	B	`conf`	Designing, Analyzing and Exploiting Stake-Based Social Networks. ASONAM Tsung-Ting Kuo, Jung-Jung Yeh, Chih-Jen Lin, Shou-De Lin
2010	J	`jnl`	Discovering Correction Rules for Auto Editing. Int. J. Comput. Linguistics Chin. Lang. Process. Anta Huang, Tsung-Ting Kuo, Ying-Chun Lai, Shou-De Lin
2010	—	`conf`	Identifying Correction Rules for Auto Editing. ROCLING Anta Huang, Tsung-Ting Kuo, Ying-Chun Lai, Shou-De Lin
2010	—	`conf`	SocioCrowd: a social-network-based framework for crowd simulation. SIGGRAPH Posters Cheng-Te Li, Hsun-Ping Hsieh, Tsung-Ting Kuo, Shou-De Lin
2009	—	`conf`	An Ensemble of Three Classifiers for KDD Cup 2009: Expanded Linear Model, Heterogeneous Boosting, and Selective Naive Bayes. KDD Cup Hung-Yi Lo, Kai-Wei Chang, Shang-Tse Chen, Tsung-Hsien Chiang, Chun-Sung Ferng, Cho-Jui Hsieh, Yi-Kuang Ko, Tsung-Ting Kuo, Hung-Che Lai, Ken-Yi Lin, Chia-Hsuan Wang, Hsiang-Fu Yu, Chih-Jen Lin, Hsuan-Tien Lin, Shou-De Lin
2008	J	`jnl`	Learning to improve area-under-FROC for imbalanced medical data classification using an ensemble method. SIGKDD Explor. Hung-Yi Lo, Chun-Min Chang, Tsung-Hsien Chiang, Cho-Yi Hsiao, Anta Huang, Tsung-Ting Kuo, Wei-Chi Lai, Ming-Han Yang, Jung-Jung Yeh, Chun-Chao Yen, Shou-De Lin
2003	C	`conf`	Ontology-Based Knowledge Fusion Framework Using Graph Partitioning. IEA/AIE Tsung-Ting Kuo, Shian-Shyong Tseng, Yao-Tsung Lin