Projects per year
Personal profile
Education
- 2016-2021 Ph.D., Graduate Institute of Biomedical Informatics, Taipei Medical University.
- 1997-2004 M.D., School of Medicine, College of Medicine, Taipei Medical University.
Experience
- Attending Physician, Division of Neurology, Taipei Medical University-Shuang Ho Hospital, Ministry of Health and Welfare
- 2022.03- Assistant Professor, Department of Neurology, School of Medicine, College of Medicine, Taipei Medical University
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Dive into the research topics where Chen-Chih Chung is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Network
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Using Artificial Neural Networks and Plasma Extracellular Vesicles as Biomarkers to Diagnose and Predict the Association and Progression between Cognitive Dysfunction in Parkinson'S Disease (1/3)
8/1/22 → 7/31/23
Project: A - Government Institution › b - Ministry of Science and Technology
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Develop Integrated Diagnosis and Prediction Model of Parkinson'S Disease
8/1/18 → 7/31/19
Project: A - Government Institution › b - Ministry of Science and Technology
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Application of machine learning-based models to boost the predictive power of the SPAN index
Chung, C. C., Bamodu, O. A., Hong, C. T., Chan, L. & Chiu, H. W., 2023, In: International Journal of Neuroscience.Research output: Contribution to journal › Article › peer-review
6 Citations (Scopus) -
Identifying Risk Factors for Prolonged Length of Stay in Hospital and Developing Prediction Models for Patients with Cardiac Arrest Receiving Targeted Temperature Management
Chiu, W-T., Chan, L., Masud, J. H. B., Hong, C-T., Chien, Y-S., Hsu, C-H., Wu, C-H., Wang, C-H., Tan, S. & Chung, C-C., 2023, In: Reviews in Cardiovascular Medicine. 24, 2, p. 55Research output: Contribution to journal › Article › peer-review
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Plasma extracellular vesicle tau, β-amyloid, and α-synuclein and the progression of Parkinson’s disease: a follow-up study
Chan, L., Chung, C. C., Hsieh, Y. C., Wu, R. M. & Hong, C. T., Jan 2023, In: Therapeutic Advances in Neurological Disorders. 16Research output: Contribution to journal › Article › peer-review
Open Access -
Risk factor identification and prediction models for prolonged length of stay in hospital after acute ischemic stroke using artificial neural networks
Yang, C-C., Bamodu, O. A., Chan, L., Chen, J-H., Hong, C-T., Huang, Y-T. & Chung, C-C., 2023, In: Frontiers in Neurology. 14Research output: Contribution to journal › Article › peer-review
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XGBoost-Based Simple Three-Item Model Accurately Predicts Outcomes of Acute Ischemic Stroke
Chung, C-C., Su, E. C-Y., Chen, J-H., Chen, Y-T. & Kuo, C-Y., Feb 2023, In: Diagnostics. 13, 5Research output: Contribution to journal › Article › peer-review
Datasets
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Neurofilament light chain level in plasma extracellular vesicles and Parkinson’s disease
Chung, C. (Contributor), Chan, L. (Contributor), Chen, J. (Contributor), Bamodu, O. A. (Contributor) & Hong, C. (Contributor), SAGE Journals, 2020
DOI: 10.25384/sage.c.5233206.v1, https://sage.figshare.com/collections/Neurofilament_light_chain_level_in_plasma_extracellular_vesicles_and_Parkinson_s_disease/5233206/1
Dataset
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Safety and efficacy of endovascular thrombectomy in acute ischemic stroke treated with anticoagulants: a systematic review and meta-analysis
Chen, J. (Creator), Hong, C. (Creator), Chung, C. (Creator), Kuan, Y. (Creator) & Chan, L. (Creator), Figshare, 2022
DOI: 10.6084/m9.figshare.c.6057968.v1, https://springernature.figshare.com/collections/Safety_and_efficacy_of_endovascular_thrombectomy_in_acute_ischemic_stroke_treated_with_anticoagulants_a_systematic_review_and_meta-analysis/6057968/1
Dataset
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sj-pdf-1-tan-10.1177_1756286420975917 – Supplemental material for Neurofilament light chain level in plasma extracellular vesicles and Parkinson’s disease
Hong, C. (Contributor), Chung, C. (Contributor), Chan, L. (Contributor), Chen, J. (Contributor) & Bamodu, O. A. (Contributor), SAGE Journals, 2020
DOI: 10.25384/sage.13347792.v1, https://doi.org/10.25384%2Fsage.13347792.v1
Dataset