Tsung-Ting Kuo

University of California, San Diego

United States

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Articles (15)

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2024

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2024

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2024

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2024

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2023

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2022

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2022

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2022

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2022

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2022

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2021

Collaborators (5)

Lucila Ohno-Machado

Adjunct Professor

University of California, San Diego

UNITED STATES

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Tyler Bath

University of California, San Diego

UNITED STATES

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Xiaoqian Jiang

Professor

The University of Texas Health Science Center at Houston

UNITED STATES

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Miran Kim

Assistant professor

Korea Advanced Institute of Science and Technology

SOUTH KOREA

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Spencer SooHoo

Assistant Professor

Cedars-Sinai Medical Center

UNITED STATES

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Tsung-Ting Kuo

Research Interests

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Articles (15)

Biomedical blockchain with practical implementations and quantitative evaluations: a systematic review

Distributed management of patient data-sharing informed consents for clinical research

Early prediction of long hospital stay for Intensive Care units readmission patients using medication information

A Comparative Study for Blockchain Applications in Nursing Informatics

Profiling Clinical Researchers Effectively using Embeddings and Clustering

A hierarchical strategy to minimize privacy risk when linking “De-identified” data in biomedical research consortia

Blockchain-enabled immutable, distributed, and highly available clinical research activity logging system for federated COVID-19 data analysis from multiple institutions

Editorial: Blockchain and distributed ledger technology—enabled architectures for improving healthcare

Quorum-based model learning on a blockchain hierarchical clinical research network using smart contracts

The evolving privacy and security concerns for genomic data analysis and sharing as observed from the iDASH competition

Predicting COVID-19 county-level case number trend by combining demographic characteristics and social distancing policies

CertificateChain: decentralized healthcare training certificate management system using blockchain and smart contracts

Detecting model misconducts in decentralized healthcare federated learning

Generalizable prediction of COVID-19 mortality on worldwide patient data

Privacy-protecting, reliable response data discovery using COVID-19 patient observations

Collaborators (5)

Lucila Ohno-Machado

Tyler Bath

Xiaoqian Jiang

Miran Kim

Spencer SooHoo

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