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Tsung-Ting Kuo
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2020 – today
- 2024
- [j25]Min Zhang, Tsung-Ting Kuo
:
Early prediction of long hospital stay for Intensive Care units readmission patients using medication information. Comput. Biol. Medicine 174: 108451 (2024) - [j24]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): 1423-1435 (2024) - 2023
- [j23]Tsung-Ting Kuo
, Peng Zhang:
Editorial: Blockchain and distributed ledger technology - enabled architectures for improving healthcare. Frontiers Blockchain 6 (2023) - [j22]Tsung-Ting Kuo
, Anh Pham:
Quorum-based model learning on a blockchain hierarchical clinical research network using smart contracts. Int. J. Medical Informatics 169: 104924 (2023) - [j21]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): 1167-1178 (2023) - [j20]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: 104322 (2023) - [i5]Eric L. Lee, Tsung-Ting Kuo, Shou-De Lin:
A Collaborative Filtering-Based Two Stage Model with Item Dependency for Course Recommendation. CoRR abs/2311.00612 (2023) - 2022
- [j19]Tsung-Ting Kuo
, Anh Pham:
Detecting model misconducts in decentralized healthcare federated learning. Int. J. Medical Informatics 158(February): 104658 (2022) - [j18]Tsung-Ting Kuo
, Lucila Ohno-Machado:
NLM's sponsorship of research in biomedical informatics (1985-2016). Inf. Serv. Use 42(1): 61-70 (2022) - [j17]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): 2182-2190 (2022) - [c27]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 - [c26]Megan Mun Li, Tsung-Ting Kuo:
COVID-19 Chest X-ray Image Clustering and Topic Modeling using Associated Publications. AMIA 2022 - 2021
- [j16]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:
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: 104559 (2021) - [j15]Megan Mun Li, Tsung-Ting Kuo
:
Previewable Contract-Based On-Chain X-Ray Image Sharing Framework for Clinical Research. Int. J. Medical Informatics 156: 104599 (2021) - [c25]Anh Pham, Robert El-Kareh, Lucila Ohno-Machado, Tsung-Ting Kuo:
Early Prediction of Positive Clostridioides Difficile Test Results. AMIA 2021 - 2020
- [j14]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): 343-354 (2020) - [j13]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): 747-756 (2020)
2010 – 2019
- 2019
- [j12]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): 392-403 (2019) - [j11]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): 462-478 (2019) - [c24]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 - [c23]Hongru Yu, Haiyang Sun, Danyi Wu, Tsung-Ting Kuo:
Comparison of Smart Contract Blockchains for Healthcare Applications. AMIA 2019 - 2018
- [j10]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: 63-69 (2018) - [r2]Cheng-Te Li, Hsun-Ping Hsieh, Tsung-Ting Kuo
, Shou-De Lin:
Opinion Diffusion and Analysis on Social Networks. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. 2018 - [i4]Tsung-Ting Kuo
, Lucila Ohno-Machado:
ModelChain: Decentralized Privacy-Preserving Healthcare Predictive Modeling Framework on Private Blockchain Networks. CoRR abs/1802.01746 (2018) - [i3]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 abs/1808.03806 (2018) - 2017
- [j9]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): 1211-1220 (2017) - [c22]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 - [c21]Eric L. Lee, Tsung-Ting Kuo
, Shou-De Lin:
A Collaborative Filtering-Based Two Stage Model with Item Dependency for Course Recommendation. DSAA 2017: 496-503 - [i2]Sanjeev Shenoy, Tsung-Ting Kuo, Rodney A. Gabriel, Julian J. McAuley, Chun-Nan Hsu:
Deduplication in a massive clinical note dataset. CoRR abs/1704.05617 (2017) - [i1]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: e2993 (2017) - 2016
- [j8]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): 1 (2016) - [j7]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: 84 (2016) - [j6]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) - [c20]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 - [c19]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 - 2015
- [c18]San-Chuan Hung, Tsung-Ting Kuo, Shou-De Lin
:
Novel Topic Diffusion Prediction using Latent Semantic and User Behavior. ASE BD&SI 2015: 39:1-39:6 - 2014
- [c17]Yu-Yang Huang, Rui Yan, Tsung-Ting Kuo
, Shou-De Lin:
Enriching Cold Start Personalized Language Model Using Social Network Information. ACL (2) 2014: 611-617 - [c16]Jung-Jung Yeh, Tsung-Ting Kuo
, William Chen, Shou-De Lin
:
Minimizing expected loss for risk-avoiding reinforcement learning. DSAA 2014: 11-17 - [c15]Chia-Jen Lin, Tsung-Ting Kuo
, Shou-De Lin
:
A Content-Based Matrix Factorization Model for Recipe Recommendation. PAKDD (2) 2014: 560-571 - [c14]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: 262-273 - [e2]Shou-de Lin, Lun-Wei Ku, Erik Cambria, Tsung-Ting Kuo:
Proceedings of the Second Workshop on Natural Language Processing for Social Media, SocialNLP@COLING 2014, Dublin, Ireland, August 24, 2014. Association for Computational Linguistics and Dublin City University 2014, ISBN 978-1-873769-45-4 [contents] - [r1]Cheng-Te Li, Hsun-Ping Hsieh, Tsung-Ting Kuo, Shou-De Lin:
Opinion Diffusion and Analysis on Social Networks. Encyclopedia of Social Network Analysis and Mining 2014: 1212-1218 - 2013
- [j5]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): 341-357 (2013) - [c13]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: 775-783 - [c12]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: 276-288 - [e1]Shou-de Lin, Lun-Wei Ku, Tsung-Ting Kuo:
Proceedings of the IJCNLP Workshop on Natural Language Processing for Social Media, SocialNLP@IJCNLP 2013, Nagoya, Japan, October 14 - 18, 2013. Asian Federation of Natural Language Processing 2013, ISBN 978-4-9907348-3-1 [contents] - 2012
- [j4]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) - [c11]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: 344-348 - [c10]Liang-Chieh Chen, Tsung-Ting Kuo
, Wei-Chi Lai, Shou-De Lin
, Chi-Hung Tsai:
Prediction-based outlier detection with explanations. GrC 2012: 44-49 - [c9]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 - [c8]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: 21-60 - [c7]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: 101-135 - 2011
- [j3]Tsung-Ting Kuo
, Shou-De Lin
:
Learning-based concept-hierarchy refinement through exploiting topology, content and social information. Inf. Sci. 181(12): 2512-2528 (2011) - [c6]Rumi Ghosh, Tsung-Ting Kuo
, Chun-Nan Hsu, Shou-De Lin
, Kristina Lerman:
Time-Aware Ranking in Dynamic Citation Networks. ICDM Workshops 2011: 373-380 - 2010
- [j2]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) - [c5]Tsung-Ting Kuo
, Jung-Jung Yeh, Chih-Jen Lin, Shou-De Lin
:
Designing, Analyzing and Exploiting Stake-Based Social Networks. ASONAM 2010: 402-403 - [c4]Anta Huang, Tsung-Ting Kuo, Ying-Chun Lai, Shou-De Lin:
Identifying Correction Rules for Auto Editing. ROCLING 2010 - [c3]Cheng-Te Li, Hsun-Ping Hsieh
, Tsung-Ting Kuo
, Shou-De Lin
:
SocioCrowd: a social-network-based framework for crowd simulation. SIGGRAPH Posters 2010: 17:1
2000 – 2009
- 2009
- [c2]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: 57-64 - 2008
- [j1]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): 43-46 (2008) - 2003
- [c1]Tsung-Ting Kuo, Shian-Shyong Tseng, Yao-Tsung Lin:
Ontology-Based Knowledge Fusion Framework Using Graph Partitioning. IEA/AIE 2003: 11-20
Coauthor Index
aka: Shou-de Lin
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