Yi-Ju Tseng

Orcid: 0000-0002-1814-5553

According to our database1, Yi-Ju Tseng authored at least 22 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
The Pareto type I joint frailty-copula model for clustered bivariate survival data.
Commun. Stat. Simul. Comput., April, 2024

2023
lab: an R package for generating analysis-ready data from laboratory records.
PeerJ Comput. Sci., 2023

Engaging a national-scale cohort of smart thermometer users in participatory surveillance.
npj Digit. Medicine, 2023

Self-supervised based general laboratory progress pretrained model for cardiovascular event detection.
CoRR, 2023

MoCab: A Model Management System Based on FHIR for Clinical Decision Support.
Proceedings of the MEDINFO 2023 - The Future Is Accessible, 2023

Temporal Phenotype Matrix Engineering for Electronic Health Records - Enhancing Coronary Artery Disease Prediction.
Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2023

2022
International comparisons of laboratory values from the 4CE collaborative to predict COVID-19 mortality.
npj Digit. Medicine, 2022

Performance vs. Privacy: Evaluating the Performance of Predicting Second Primary Cancer in Lung Cancer Survivors with Privacy-preserving Approaches.
Proceedings of the IEEE-EMBS International Conference on Biomedical and Health Informatics, 2022

2021
<i>dxpr</i>: an R package for generating analysis-ready data from electronic health records - diagnoses and procedures.
PeerJ Comput. Sci., 2021

Machine-learning-based predictions of direct-acting antiviral therapy duration for patients with hepatitis C.
Int. J. Medical Informatics, 2021

Machine Learning Based Risk Prediction Models for Oral Squamous Cell Carcinoma Using Salivary Biomarkers.
Proceedings of the Public Health and Informatics, 2021

2019
Predicting breast cancer metastasis by using serum biomarkers and clinicopathological data with machine learning technologies.
Int. J. Medical Informatics, 2019

2018
Predicting post-stroke activities of daily living through a machine learning-based approach on initiating rehabilitation.
Int. J. Medical Informatics, 2018

2016
Diagnostic Journeys of Patients Evaluated for Lyme Disease and Given Extended Antibiotic Therapy.
Proceedings of the AMIA 2016, 2016

2015
Multiple-Time-Series Clinical Data Processing for Classification With Merging Algorithm and Statistical Measures.
IEEE J. Biomed. Health Informatics, 2015

A multiple measurements case-based reasoning method for predicting recurrent status of liver cancer patients.
Comput. Ind., 2015

2014
Recurrence predictive models for patients with hepatocellular carcinoma after radiofrequency ablation using support vector machines with feature selection methods.
Comput. Methods Programs Biomed., 2014

Missing Value Imputation on Multiple Measurements for Prediction of Liver Cancer Recurrence: A Comparative Study.
Proceedings of the Intelligent Systems and Applications, 2014

Multiple Time Series Data Processing for Classification with Period Merging Algorithm.
Proceedings of the 5th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN-2014)/ The 4th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH 2014)/ Affiliated Workshops, 2014

2013
Rule-Based Healthcare-Associated Bloodstream Infection Classification and Surveillance System.
Proceedings of the Data and Knowledge for Medical Decision Support, 2013

2012
A Reliable User Authentication and Key Agreement Scheme for Web-Based Hospital-Acquired Infection Surveillance Information System.
J. Medical Syst., 2012

Newborn Screening for Phenylketonuria: Machine Learning vs Clinicians.
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2012


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