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Tsung-Ting Kuo
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2020 – today
- 2024
- [j26]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) - [j25]Anh Pham
Distributed management of patient data-sharing informed consents for clinical research. Comput. Biol. Medicine 180: 108956 (2024) - [j24]Roger Lacson
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
Editorial: Blockchain and distributed ledger technology - enabled architectures for improving healthcare. Frontiers Blockchain 6 (2023) - [j22]Tsung-Ting Kuo
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
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
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
Detecting model misconducts in decentralized healthcare federated learning. Int. J. Medical Informatics 158(February): 104658 (2022) - [j18]Tsung-Ting Kuo
NLM's sponsorship of research in biomedical informatics (1985-2016). Inf. Serv. Use 42(1): 61-70 (2022) - [j17]Tsung-Ting Kuo
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
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
Privacy-preserving model learning on a blockchain network-of-networks. J. Am. Medical Informatics Assoc. 27(3): 343-354 (2020) - [j13]Tsung-Ting Kuo
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
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
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
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
Opinion Diffusion and Analysis on Social Networks. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. 2018 - [i4]Tsung-Ting Kuo
ModelChain: Decentralized Privacy-Preserving Healthcare Predictive Modeling Framework on Private Blockchain Networks. CoRR abs/1802.01746 (2018) - [i3]Tsung-Ting Kuo
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
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
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
bioPDFX: preparing PDF scientific articles for biomedical text mining. PeerJ Prepr. 5: e2993 (2017) - 2016
- [j8]Suvir Jain, Kashyap R., Tsung-Ting Kuo
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
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
Enriching Cold Start Personalized Language Model Using Social Network Information. ACL (2) 2014: 611-617 - [c16]Jung-Jung Yeh, Tsung-Ting Kuo
Minimizing expected loss for risk-avoiding reinforcement learning. DSAA 2014: 11-17 - [c15]Chia-Jen Lin, Tsung-Ting Kuo
A Content-Based Matrix Factorization Model for Recipe Recommendation. PAKDD (2) 2014: 560-571 - [c14]Wei-Shih Lin, Tsung-Ting Kuo
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
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
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
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
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
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
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
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
Shou-De Lin
aka: Shou-de Lin
aka: Shou-de Lin
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