| Blockchain distributed ledger technologies for biomedical and health care applications TT Kuo, HE Kim, L Ohno-Machado Journal of the American Medical Informatics Association (JAMIA) 24 (6), 1211 …, 2017 | 1443 | 2017 |
| ModelChain: Decentralized Privacy-Preserving Healthcare Predictive Modeling Framework on Private Blockchain Networks TT Kuo, CN Hsu, L Ohno-Machado ONC/NIST Use of Blockchain for Healthcare and Research Workshop, 2016 | 343* | 2016 |
| ‘Fit-for-purpose?’ – challenges and opportunities for applications of blockchain technology in the future of healthcare TK Mackey, TT Kuo, B Gummadi, KA Clauson, G Church, D Grishin, ... BMC Medicine 17 (1), 68, 2019 | 342 | 2019 |
| Comparison of Blockchain Platforms: A Systematic Review and Healthcare Examples TT Kuo, HZ Rojas, L Ohno-Machado Journal of the American Medical Informatics Association (JAMIA) 26 (5), 462–478, 2019 | 317 | 2019 |
| Feature engineering and classifier ensemble for KDD cup 2010 HF Yu, HY Lo, HP Hsieh, JK Lou, TG McKenzie, JW Chou, PH Chung, ... Proceedings of the KDD Cup 2010 Workshop, 2010 | 216 | 2010 |
| Exploiting Machine Learning Models for Chinese Legal Documents Labeling, Case Classification, and Sentencing Prediction WC Lin, TT Kuo, TJ Chang, CA Yen, CJ Chen, SD Lin International Journal of Computational Linguistics & Chinese Language …, 2012 | 113 | 2012 |
| Fair Compute Loads Enabled by Blockchain: Sharing Models by Alternating Client and Server Roles TT Kuo, RA Gabriel, L Ohno-Machado Journal of the American Medical Informatics Association (JAMIA) 26 (5), 392–403, 2019 | 77 | 2019 |
| Unsupervised link prediction using aggregative statistics on heterogeneous social networks TT Kuo, R Yan, YY Huang, PH Kung, SD Lin Proceedings of the 19th ACM SIGKDD international conference on Knowledge …, 2013 | 76 | 2013 |
| A linear ensemble of individual and blended models for music rating prediction PL Chen, CT Tsai, YN Chen, KC Chou, CL Li, CH Tsai, KW Wu, YC Chou, ... JMLR W&CP 18, 2012 | 69 | 2012 |
| Machine learning-based predictive modeling of surgical intervention in glaucoma using systemic data from electronic health records SL Baxter, C Marks, TT Kuo, L Ohno-Machado, RN Weinreb American Journal of Ophthalmology 208, 30-40, 2019 | 65 | 2019 |
| Privacy-preserving Model Learning on a Blockchain Network-of-networks TT Kuo, J Kim, RA Gabriel Journal of the American Medical Informatics Association (JAMIA) 27 (3), 343–354, 2020 | 56 | 2020 |
| EXpectation Propagation LOgistic REgRession on permissioned blockCHAIN (ExplorerChain): decentralized online healthcare/genomics predictive model learning TT Kuo, RA Gabriel, KR Cidambi, L Ohno-Machado Journal of the American Medical Informatics Association (JAMIA) 27 (5), 747–756, 2020 | 53 | 2020 |
| A content-based matrix factorization model for recipe recommendation CJ Lin, TT Kuo, SD Lin Advances in Knowledge Discovery and Data Mining (Proceedings of PAKDD 2014 …, 2014 | 52 | 2014 |
| Time-aware ranking in dynamic citation networks R Ghosh, TT Kuo, CN Hsu, SD Lin, K Lerman IEEE 11th International Conference on Data Mining Workshops (ICDMW), The …, 2011 | 50 | 2011 |
| Predictive Analytics for Glaucoma using Data from the All of Us Research Program SL Baxter, BR Saseendrakumar, P Paul, J Kim, L Bonomi, TT Kuo, ... American Journal of Ophthalmology, 2021 | 46 | 2021 |
| Comparison of Smart Contract Blockchains for Healthcare Applications H Yu, H Sun, D Wu, TT Kuo AMIA Annual Symposium, 2019 | 46 | 2019 |
| Detecting model misconducts in decentralized healthcare federated learning TT Kuo, A Pham International Journal of Medical Informatics 158, 104658, 2022 | 36 | 2022 |
| iDASH Secure Genome Analysis Competition 2018: Blockchain Genomic Data Access Logging, Homomorphic Encryption on GWAS, and DNA Segment Searching TT Kuo, X Jiang, H Tang, XF Wang, T Bath, D Bu, L Wang, A Harmanci, ... BMC Medical Genomics, 2020 | 34 | 2020 |
| Identifying and Characterizing Highly Similar Notes in Big Clinical Note Datasets RA Gabriel, TT Kuo, J McAuley, CN Hsu Journal of Biomedical Informatics, 2018 | 33 | 2018 |
| Learning to improve area-under-FROC for imbalanced medical data classification using an ensemble method HY Lo, CM Chang, TH Chiang, CY Hsiao, A Huang, TT Kuo, WC Lai, ... ACM SIGKDD Explorations Newsletter 10 (2), 43-46, 2008 | 33 | 2008 |
Lucila Ohno-MachadoUniversity of California San DiegoEmail verificata su ucsd.edu
