Emily Chia-Yu Su
Orcid: 0000-0003-4801-5159
According to our database1,
Emily Chia-Yu Su
authored at least 23 papers
between 2005 and 2023.
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Bibliography
2023
Human-guided deep learning with ante-hoc explainability by convolutional network from non-image data for pregnancy prognostication.
Neural Networks, May, 2023
Prognosticating Fetal Growth Restriction and Small for Gestational Age by Medical History.
Proceedings of the MEDINFO 2023 - The Future Is Accessible, 2023
Assessing Internet Search Models in Predicting Daily New COVID-19 Cases and Deaths in South Korea.
Proceedings of the MEDINFO 2023 - The Future Is Accessible, 2023
Prescribing Decision Support System for Patient Safety and to Prevent Fraud and Overspending in Indonesian National Health Insurance.
Proceedings of the 7th International Conference on Medical and Health Informatics, 2023
2021
Isotypes of autoantibodies against novel differential 4-hydroxy-2-nonenal-modified peptide adducts in serum is associated with rheumatoid arthritis in Taiwanese women.
BMC Medical Informatics Decis. Mak., 2021
Lightweight deep neural networks for cholelithiasis and cholecystitis detection by point-of-care ultrasound.
Comput. Methods Programs Biomed., 2021
Co-AMPpred for in silico-aided predictions of antimicrobial peptides by integrating composition-based features.
BMC Bioinform., 2021
2020
Improving Dengue Surveillance System with Administrative Claim Data in Indonesia: Opportunities and Challenges.
Proceedings of the Digital Personalized Health and Medicine - Proceedings of MIE 2020, Medical Informatics Europe, Geneva, Switzerland, April 28, 2020
2019
RNA editing-based classification of diffuse gliomas: predicting isocitrate dehydrogenase mutation and chromosome 1p/19q codeletion.
BMC Bioinform., December, 2019
Improving Allergenic Protein Prediction Using Physicochemical Features on Non-Redundant Sequences.
Proceedings of the 2019 International Conference on Machine Learning and Cybernetics, 2019
2018
Predicting diabetic retinopathy and identifying interpretable biomedical features using machine learning algorithms.
BMC Bioinform., 2018
Proceedings of the Conference on Technologies and Applications of Artificial Intelligence, 2018
2017
Unity is Strength: Improving biomedical classification performance based on ensemble learning approaches.
Comput. Methods Programs Biomed., 2017
Proceedings of the 2nd Social Media Mining for Health Research and Applications Workshop co-located with the American Medical Informatics Association Annual Symposium (AMIA 2017), 2017
2016
Prediction of HIV-1 protease cleavage site using a combination of sequence, structural, and physicochemical features.
BMC Bioinform., 2016
BioCreative V BioC track overview: collaborative biocurator assistant task for BioGRID.
Database J. Biol. Databases Curation, 2016
NTTMUNSW BioC modules for recognizing and normalizing species and gene/protein mentions.
Database J. Biol. Databases Curation, 2016
2013
BMC Bioinform., 2013
2012
Prediction of nuclear proteins using nuclear translocation signals proposed by probabilistic latent semantic indexing.
BMC Bioinform., 2012
2008
Predicting RNA-binding sites of proteins using support vector machines and evolutionary information.
BMC Bioinform., 2008
2007
Protein subcellular localization prediction based on compartment-specific features and structure conservation.
BMC Bioinform., 2007
2005
A Novel Approach for Prediction of Multi-Labeled Protein Subcellular Localization for Prokaryotic Bacteria.
Proceedings of the Fourth International IEEE Computer Society Computational Systems Bioinformatics Conference Workshops & Poster Abstracts, 2005