Tsung-Ting Kuo

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 35

Top Topics

Latent Semantic

Weakly Supervised Learning

Top Venues

J. Am. Medical Informatics Assoc.

Int. J. Medical Informatics

Publications

Anh Pham, Maxim E. Edelson, Armin Nouri, Tsung-Ting Kuo
Distributed management of patient data-sharing informed consents for clinical research. Comput. Biol. Medicine 180 (2024)
Min Zhang, Tsung-Ting Kuo
Early prediction of long hospital stay for Intensive Care units readmission patients using medication information. Comput. Biol. Medicine 174 (2024)
Roger Lacson, Yufei Yu, Tsung-Ting Kuo, Lucila Ohno-Machado
Biomedical blockchain with practical implementations and quantitative evaluations: a systematic review. J. Am. Medical Informatics Assoc. 31 (6) (2024)
Tsung-Ting Kuo, Peng Zhang
Editorial: Blockchain and distributed ledger technology - enabled architectures for improving healthcare. Frontiers Blockchain 6 (2023)
Eric L. Lee, Tsung-Ting Kuo, Shou-De Lin
A Collaborative Filtering-Based Two Stage Model with Item Dependency for Course Recommendation. CoRR (2023)
Tsung-Ting Kuo, Anh Pham
Quorum-based model learning on a blockchain hierarchical clinical research network using smart contracts. Int. J. Medical Informatics 169 (2023)
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
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. 30 (6) (2023)
Lucila Ohno-Machado, Xiaoqian Jiang, Tsung-Ting Kuo, Shiqiang Tao, Luyao Chen, Pritham Ram, Guo-Qiang Zhang, Hua Xu
A hierarchical strategy to minimize privacy risk when linking "De-identified" data in biomedical research consortia. J. Biomed. Informatics 139 (2023)
Tsung-Ting Kuo, Xiaoqian Jiang, Hua Xu, Li Xiong, Lucila Ohno-Machado
Existing and emerging privacy challenges and solutions for federated data coordination. AMIA (2022)
Tsung-Ting Kuo, Anh Pham
Detecting model misconducts in decentralized healthcare federated learning. Int. J. Medical Informatics 158 (February) (2022)
Megan Mun Li, Tsung-Ting Kuo
COVID-19 Chest X-ray Image Clustering and Topic Modeling using Associated Publications. AMIA (2022)
Tsung-Ting Kuo, Lucila Ohno-Machado
NLM's sponsorship of research in biomedical informatics (1985-2016). Inf. Serv. Use 42 (1) (2022)
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
The evolving privacy and security concerns for genomic data analysis and sharing as observed from the iDASH competition. J. Am. Medical Informatics Assoc. 29 (12) (2022)
Megan Mun Li, Tsung-Ting Kuo
Previewable Contract-Based On-Chain X-Ray Image Sharing Framework for Clinical Research. Int. J. Medical Informatics 156 (2021)
Tsung-Ting Kuo, Tyler Bath, Shuaicheng Ma, Nicholas Pattengale, Meng Yang, Yang Cao, Corey M. Hudson, Jihoon Kim, Kai Post, Li Xiong, Lucila Ohno-Machado
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 154 (2021)
Anh Pham, Robert El-Kareh, Lucila Ohno-Machado, Tsung-Ting Kuo
Early Prediction of Positive Clostridioides Difficile Test Results. AMIA (2021)
Tsung-Ting Kuo, Jihoon Kim, Rodney A. Gabriel
Privacy-preserving model learning on a blockchain network-of-networks. J. Am. Medical Informatics Assoc. 27 (3) (2020)
Tsung-Ting Kuo, Rodney A. Gabriel, Krishna R. Cidambi, Lucila Ohno-Machado
EXpectation Propagation LOgistic REgRession on permissioned blockCHAIN (ExplorerChain): decentralized online healthcare/genomics predictive model learning. J. Am. Medical Informatics Assoc. 27 (5) (2020)
Tsung-Ting Kuo, Hugo Zavaleta Rojas, Lucila Ohno-Machado
Comparison of blockchain platforms: a systematic review and healthcare examples. J. Am. Medical Informatics Assoc. 26 (5) (2019)
Hongru Yu, Haiyang Sun, Danyi Wu, Tsung-Ting Kuo
Comparison of Smart Contract Blockchains for Healthcare Applications. AMIA (2019)
Tsung-Ting Kuo, Rodney A. Gabriel, Lucila Ohno-Machado
Fair compute loads enabled by blockchain: sharing models by alternating client and server roles. J. Am. Medical Informatics Assoc. 26 (5) (2019)
Tsung-Ting Kuo, Amar Das, Kim Augustine, Peng Dana Zhang, Lucila Ohno-Machado
Current Applications of Blockchain Technology in Biomedical Research and Healthcare. AMIA (2019)
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
The Impact of Automatic Pre-annotation in Clinical Note Data Element Extraction - the CLEAN Tool. CoRR (2018)
Rodney A. Gabriel, Tsung-Ting Kuo, Julian J. McAuley, Chun-Nan Hsu
Identifying and characterizing highly similar notes in big clinical note datasets. J. Biomed. Informatics 82 (2018)
Tsung-Ting Kuo, Lucila Ohno-Machado
ModelChain: Decentralized Privacy-Preserving Healthcare Predictive Modeling Framework on Private Blockchain Networks. CoRR (2018)
Rodney A. Gabriel, Sanjeev Shenoy, Tsung-Ting Kuo, Julian J. McAuley, Chun-Nan Hsu
The presence of highly similar notes within the MIMIC-III dataset. AMIA (2017)
Shitij Bhargava, Tsung-Ting Kuo, Ankit Goyal, Vincent Kuri, Gordon Lin, Chun-Nan Hsu
bioPDFX: preparing PDF scientific articles for biomedical text mining. PeerJ Prepr. 5 (2017)
Sanjeev Shenoy, Tsung-Ting Kuo, Rodney A. Gabriel, Julian J. McAuley, Chun-Nan Hsu
Deduplication in a massive clinical note dataset. CoRR (2017)
Tsung-Ting Kuo, Hyeon-Eui Kim, Lucila Ohno-Machado
Blockchain distributed ledger technologies for biomedical and health care applications. J. Am. Medical Informatics Assoc. 24 (6) (2017)
Eric L. Lee, Tsung-Ting Kuo, Shou-De Lin
A Collaborative Filtering-Based Two Stage Model with Item Dependency for Course Recommendation. DSAA (2017)
Suvir Jain, Kashyap R., Tsung-Ting Kuo, Shitij Bhargava, Gordon Lin, Chun-Nan Hsu
Weakly supervised learning of biomedical information extraction from curated data. BMC Bioinform. 17 (S-1) (2016)
Stephanie Feudjio Feupe, Ko-Wei Lin, Tsung-Ting Kuo, Chun-Nan Hsu, Hyeon-Eui Kim
Review and Evaluation of the State of Standardization of Computable Phenotype. AMIA (2016)
Yu-Yang Huang, Rui Yan, Tsung-Ting Kuo, Shou-De Lin
Enriching Cold Start Personalized Language Model Using Social Network Information. Int. J. Comput. Linguistics Chin. Lang. Process. 21 (1) (2016)
Tsung-Ting Kuo, Pallavi Rao, Cleo K. Maehara, Son Doan, Juan D. Chaparro, Michele E. Day, Claudiu Farcas, Lucila Ohno-Machado, Chun-Nan Hsu
Ensembles of NLP Tools for Data Element Extraction from Clinical Notes. AMIA (2016)
Suvir Jain, Kashyap R. Tumkur, Tsung-Ting Kuo, Shitij Bhargava, Gordon Lin, Chun-Nan Hsu
Erratum to: Weakly supervised learning of biomedical information extraction from curated data. BMC Bioinform. 17 (2016)
San-Chuan Hung, Tsung-Ting Kuo, Shou-De Lin
Novel Topic Diffusion Prediction using Latent Semantic and User Behavior. ASE BD&SI (2015)
Wei-Shih Lin, Tsung-Ting Kuo, Yu-Yang Huang, Wan-Chen Lu, Shou-De Lin
A Transfer-Learning Approach to Exploit Noisy Information for Classification and Its Application on Sentiment Detection. TAAI (2014)
Chia-Jen Lin, Tsung-Ting Kuo, Shou-De Lin
A Content-Based Matrix Factorization Model for Recipe Recommendation. PAKDD (2) (2014)
Yu-Yang Huang, Rui Yan, Tsung-Ting Kuo, Shou-De Lin
Enriching Cold Start Personalized Language Model Using Social Network Information. ACL (2) (2014)
Jung-Jung Yeh, Tsung-Ting Kuo, William Chen, Shou-De Lin
Minimizing expected loss for risk-avoiding reinforcement learning. DSAA (2014)
Yu-Chun Shen, Tsung-Ting Kuo, I-Ning Yeh, Tzu-Ting Chen, Shou-De Lin
Exploiting Temporal Information in a Two-Stage Classification Framework for Content-Based Depression Detection. PAKDD (1) (2013)
Cheng-Te Li, Tsung-Ting Kuo, Chien-Tung Ho, San-Chuan Hung, Wei-Shih Lin, Shou-De Lin
Modeling and evaluating information propagation in a microblogging social network. Soc. Netw. Anal. Min. 3 (3) (2013)
Tsung-Ting Kuo, Rui Yan, Yu-Yang Huang, Perng-Hwa Kung, Shou-De Lin
Unsupervised link prediction using aggregative statistics on heterogeneous social networks. KDD (2013)
Tsung-Ting Kuo, San-Chuan Hung, Wei-Shih Lin, Nanyun Peng, Shou-De Lin, Wei-Fen Lin
Exploiting Latent Information to Predict Diffusions of Novel Topics on Social Networks. ACL (2) (2012)
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
Novel Models and Ensemble Techniques to Discriminate Favorite Items from Unrated Ones for Personalized Music Recommendation. KDD Cup (2012)
Liang-Chieh Chen, Tsung-Ting Kuo, Wei-Chi Lai, Shou-De Lin, Chi-Hung Tsai
Prediction-based outlier detection with explanations. GrC (2012)
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
A Linear Ensemble of Individual and Blended Models for Music Rating Prediction. KDD Cup (2012)
Wan-Chen Lin, Tsung-Ting Kuo, Tung-Jia Chang, Chueh-An Yen, Chao-Ju Chen, Shou-de Lin
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 (2012)
Wan-Chen Lin, Tsung-Ting Kuo, Tung-Jia Chang, Chueh-An Yen, Chao-Ju Chen, Shou-de Lin
Exploiting Machine Learning Models for Chinese Legal Documents Labeling, Case Classification, and Sentencing Prediction. Int. J. Comput. Linguistics Chin. Lang. Process. 17 (4) (2012)
Rumi Ghosh, Tsung-Ting Kuo, Chun-Nan Hsu, Shou-De Lin, Kristina Lerman
Time-Aware Ranking in Dynamic Citation Networks. ICDM Workshops (2011)
Tsung-Ting Kuo, Shou-De Lin
Learning-based concept-hierarchy refinement through exploiting topology, content and social information. Inf. Sci. 181 (12) (2011)
Anta Huang, Tsung-Ting Kuo, Ying-Chun Lai, Shou-De Lin
Discovering Correction Rules for Auto Editing. Int. J. Comput. Linguistics Chin. Lang. Process. 15 (3-4) (2010)
Tsung-Ting Kuo, Jung-Jung Yeh, Chih-Jen Lin, Shou-De Lin
Designing, Analyzing and Exploiting Stake-Based Social Networks. ASONAM (2010)
Cheng-Te Li, Hsun-Ping Hsieh, Tsung-Ting Kuo, Shou-De Lin
SocioCrowd: a social-network-based framework for crowd simulation. SIGGRAPH Posters (2010)
Anta Huang, Tsung-Ting Kuo, Ying-Chun Lai, Shou-De Lin
Identifying Correction Rules for Auto Editing. ROCLING (2010)
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
An Ensemble of Three Classifiers for KDD Cup 2009: Expanded Linear Model, Heterogeneous Boosting, and Selective Naive Bayes. KDD Cup (2009)
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
Learning to improve area-under-FROC for imbalanced medical data classification using an ensemble method. SIGKDD Explor. 10 (2) (2008)
Tsung-Ting Kuo, Shian-Shyong Tseng, Yao-Tsung Lin
Ontology-Based Knowledge Fusion Framework Using Graph Partitioning. IEA/AIE (2003)