蘇家玉(Su, Emily Chia-Yu) 副教授

Email
emilysu@tmu.edu.tw
現   職
醫學資訊研究所 副教授

學經歷

學 歷

畢業學校與學位[修業時間]
國立交通大學生物科技學院生物資訊研究所 博士
2003/09~2009/02
國立臺灣大學資訊工程所 碩士
2001/09~2003/06
國立臺灣師範大學資訊教育系 學士
1997/09~2001/06

本校學術經歷

任職單位與職稱[起迄時間]
醫學資訊研究所副教授
2017/08/01~
醫學資訊研究所助理教授
2011/02/01~2017/07/31
醫學資訊研究所(舊)助理教授
2009/08/01~2011/01/31

本校兼職教學行政經歷

服務單位與職稱[起迄時間]
人工智慧醫療碩士在職專班副教授
2019/08/01 ~

其它經歷

任職單位與職稱[起迄時間]
中央研究院資訊科學研究所博士後研究
2009/03/25~2009/07/31

專長與研究領域

學門領域
Bioinformatics
Machine Learning
Data Mining
Natural Language Processing
Information Retrieval/Extraction
Structural Bioinformatics
Computational Biology
Immunoinformatics
學術專長

論文著作

清冊下載


1. 2020 Chung CC,Hong CT,Huang YH,Su ECY,Chan L,Hu CJ, Chiu HW. Predicting major neurologic improvement and long-term outcome after thrombolysis using artificial neural networks . Journal of the Neurological Sciences .2020 ;(410):116667-11673

2. 2020 Husnayaina A,Fuadb A,Laksonoc IS,Su ECY. Improving Dengue Surveillance System with Administrative Claim Data in Indonesia: Opportunities and Challenges . Studies in Health Technology and Informatics .2020 ;(270):853-857

3. 2020 Sufriyana H,Wu YW,Su ECY. Artificial intelligence-assisted prediction of preeclampsia: development and external validation of a nationwide health insurance dataset of the BPJS Kesehatan in Indonesia . EBioMedicine .2020 ;(54):102710-102724

4. 2020 Sufriyana H,Wu YW,Su ECY. Prediction of preeclampsia and intrauterine growth restriction: development of machine learning models on a prospective cohort . JMIR Medical Informatics .2020 ;(0):0-0

5. 2020 Husnayain A,Fuad A,Su ECY. Applications of Google Search Trends for Risk Communication in Infectious Disease Management: a Case Study of COVID-19 Outbreak in Taiwan . International Journal of Infectious Diseases .2020 ;(95):221-223

6. 2020 Chen CC,Chen CY,Ko MC,Chien YC,Su ECY,Chen YT. Factors Affecting Treatment with Life-Saving Interventions, Computed Tomography Scans and Specialist Consultations . International Journal of Environmental Research and Public Health .2020 ;(17(8)):2914-2024

7. 2020 Wu ATH ,Srivastavaa P,Yadav VK,Tzeng DTW,Iamsaard S,Su ECY, Hsiao M, Liu MC. Ovatodiolide, isolated from Anisomeles indica, suppresses bladder carcinogenesis through suppression of mTOR/β-catenin/CDK6 and exosomal miR-21 derived from M2 tumor-associated macrophages . Toxicology and Applied Pharmacology .2020 ;(401):115109-115117

8. 2020 Chen YT,Yen YF,Yu SH,Su ECY. An examination on the transmission of COVID-19 and the effect of response strategies: a comparative analysis . International Journal of Environmental Research and Public Health .2020

9. 2020 Chang SC,Hsu W,Su ECY,Hung CS,Ding JL. Human FBXL8 Is a Novel E3 Ligase Which Promotes BRCA Metastasis by Stimulating Pro-Tumorigenic Cytokines and Inhibiting Tumor Suppressors . Cancers .2020

10. 2019 Chen SCC,Lo CM,Wang SH,Su ECY. RNA editing-based classification of diffuse gliomas: predicting isocitrate dehydrogenase mutation and chromosome 1p/19q codeletion . BMC Bioinformatics .2019

11. 2018 Nurwanti E,Uddin M,Chang JS,Hadi H,Syed-Abdul S,Su ECY, Nursetyo AA, Masud JHB, Bai CH. Roles of sedentary behaviors and unhealthy foods in increasing the obesity risk in adult men and women: a cross-sectional national study . Nutrients .2018 ;(2018):704-715

12. 2018 Su ECY,Chen YT . Policy or income to affect the generation of medical wastes: an application of environmental Kuznets curve by using Taiwan as an example . Journal of Cleaner Production .2018 ;(188):489-496

13. 2018 Tsao SY,Chan PY,Su ECY. Predicting diabetic retinopathy and identifying interpretable biomedical features using machine learning algorithms . BMC Bioinformatics .2018 ;(2018):195-205

14. 2018 Yu SH,Su ECY,Chen YT. Data-Driven Approach to Improving the Risk Assessment Process of Medical Failures . International Journal of Environmental Research and Public Health .2018 ;(2018):2069-2080

15. 2017 Dai HJ,Su ECY,Uddin M,Jonnagaddala J,Wu CS,Syed-Abdul S. Exploring associations of clinical and social parameters with violent behaviors among psychiatric patients . Journal of Biomedical Informatics .2017 ;(75):S149-S159

16. 2017 Su ECY,Iqbal U,Li YC. Deep learning revolutionizes healthcare and precision medicine: the next wave of artificial intelligence applications in biomedicine . Computer Methods and Programs in Biomedicine .2017 ;(138):A1-A2

17. 2017 Su ECY,Iqbal U,Li YC. Unity is strength: improving biomedical classification performance based on ensemble learning approaches . Computer Methods and Programs in Biomedicine .2017 ;(142):A1-A1

18. 2016 Su ECY,Chen YS,Tien YC,Liu J,Ho BC,Yu SL, Singh S. ChemiRs: a web application for microRNAs and chemicals . BMC Bioinformatics .2016 ;(17):167-176

19. 2016 Dai HJ,Singh O,Jonnagaddala J,Su ECY. NTTMUNSW BioC modules for recognizing and normalizing species and gene/protein mentions . Database .2016 ;(2016):1-10

20. 2016 Lee YT,Lee HC,Hu CJ,Huang LK,Chao SP,Lin CP, Su ECY, Lee YC, Chen CC. Periodontitis as a Modifiable Risk Factor for Dementia: A Nationwide Population-Based Cohort Study . Journal of the American Geriatrics Society .2016

21. 2016 Su ECY,Lin MC,Wu CC,Li YC. Emerging Landscape of Intelligent Computing in E-Health Systems for Personalized Healthcare: From Basic Research to Clinical Applications . Computer Methods and Programs in Biomedicine .2016 ;(132):A1-A2

22. 2016 Su ECY,Iqbal U,Li YC. Data Mining Applications in Clinical Implementation and Healthcare: Highlights of Findings, Interventions, and Future Directions . Computer Methods and Programs in Biomedicine .2016 ;(136):A1-A2

23. 2016 Singh O,Su ECY. Prediction of HIV-1 protease cleavage site using a combination of sequence, structural, and physicochemical features . BMC Bioinformatics .2016 ;(17):478-489

24. 2016 Kim S,Doga RI,Chatr-Aryamon A,Chang CS,Oughtred R,...,Singh O, Jonnagaddala J, Dai HJ, Su ECY, Chang YC, Su YC, Chu CH, Chen CC, Hsu WL, .., Comeau DC. BioCreative V BioC Track Overview: Collaborative Biocurator Assistant Task for BioGRID . Database .2016 ;(2016):1-13

25. 2013 Lin SYH,Cheng CW,Su ECY. Prediction of B-cell epitopes using evolutionary information and propensity scales . BMC Bioinformatics .2013 ;(14):S10-S10

26. 2013 Chang JM,Taly JF,Erb I,Sung TY,Hsu WL,Tang CY, Notredame C, Su ECY. Efficient and Interpretable Prediction of Protein Functional Classes by Correspondence Analysis and Compact Set Relations . PLoS One .2013 ;(8):e75542-e75552

27. 2013 Chiang CY,Chao KC,Tzeng WC,Su ECY. Personal healthcare system based on Chinese Medicine knowledge . Journal of Information Technology and Applications .2013 ;(7):68-75

28. 2012 Su ECY,Chang JM,Cheng CW,Sung TY,Hsu WL. Prediction of nuclear proteins using nuclear translocation signals proposed by probabilistic latent semantic indexing . BMC Bioinformatics .2012 ;(13):S13-S13

29. 2008 Cheng CW,Su ECY,Hwang JK,Sung TY,Hsu WL. Predicting RNA-binding sites of proteins using support vector machines and evolutionary information . BMC Bioinformatics .2008 ;(9):S6-S6

30. 2008 Chang JM,Su ECY,Lo A,Chiu HS,Sung TY,Hsu WL. PSLDoc: Protein subcellular localization prediction based on gapped-dipeptides and probabilistic latent semantic analysis . PROTEINS: Structure, Function, and Bioinformatics .2008 ;(72):693-710

31. 2007 Su ECY,Chiu HS,Lo A,Hwang JK,Sung TY,Hsu WL. Protein subcellular localization prediction based on compartment-specific features and structure conservation . BMC Bioinformatics .2007 ;(8):330-341


1. 2019 Signh S,Chiu JR,Sun KL,Su ECY. Improving allergenic protein prediction using physicochemical features on non-redundant sequences . Proceedings of International Conference on Machine Learning and Cybernetics .2019

2. 2016 Liu YF,Su ECY,Dai HJ. Mobile Health Applications to Effectively Monitor and Control Type II Diabetes . Proceedings of Asian Young Researchers Conference on Computational and Omics Biology (AYRCOB), Singapore .2016

3. 2015 Lin HC,Huang WN,Yeh YT,Liu CT,Su ECY. Implementation of Electronic Medical Records for Stroke in Physical Medicine and Rehabilitation . Proceedings of Joint Conference on Medical Informatics in Taiwan, Taoyuan, Taiwan .2015

4. 2015 Xu CG,Su ECY. Comparison Analyses of Comorbidity Differences between Minors with Intellectual Disabilities and Normal Population Based on National Health Insurance Research Database . Proceedings of Joint Conference on Medical Informatics in Taiwan, Taoyuan, Taiwan .2015

5. 2015 Singh O,Jonnagaddala J,Dai HJ,Su ECY. NTTMUNSW BioC Modules for Recognizing and Normalizing Species and Gene/Protein Mentions in Full Text Articles . Proceedings of the Fifth BioCreative Challenge Evaluation Workshop, Sevilla, Spain .2015

6. 2015 Ku YD,Chang NW,Dai HJ,Su ECY. Identifying and Visualizing MicroRNA-caused Metastasis Pathway in Biomedical Literature . Proceedings of joint conference of GIW/InCoB, Tokyo, Japan .2015

7. 2015 Singh O,Su ECY,Dai HJ. Building a Metastasis Gene Database using Principle-based Approach . Proceedings of Translational Bioinformatics Conference, Tokyo, Japan .2015

8. 2014 Chen CW,Su ECY. Applications of data mining techniques to predict metabolic syndrome in Taiwanese children and adolescents . Proceedings of The Fourth International Conference on Advances in Information Mining and Management (IMMM 2014) .2014

9. 2013 Tsao HY,Chang PY,Su ECY. Predicting diabetic mellitus retinopathy using support vector machines and decision trees . Proceedings of The Twelfth International Conference on Diabetes and Metabolism (ICDM 2013) .2013

10. 2013 Lin HS,Hsu WD,Su ECY,Li YC. Prediction for Parathyroid Hormone Level in Hemodialysis Patientsby The Tool of Artificial Neural Network . Proceedings of the Joint Conference on Medical Informatics in Taiwan (JCMIT 2013) .2013

11. 2013 Chiang PPC,Su ECY. Use keywords to search for nursing diagnoses on a nursing clinical decision support system . Proceedings of The 35th IEEE Engineering in Medicine and Biology Society (EMBC 2013) .2013

12. 2012 Chang JS,Su ECY. Prediction of HLA phenotype and Mi(a) immunization . Proceedings of The 30th World Congress of Biomedical Laboratory Science (IFBLS 2012) .2012

13. 2011 Su ECY,Chang JM,Sung TY,Hsu WL. Prediction of Allergenic Proteins Based on Evolutionary Information and Probabilistic Latent Semantic Indexing . Proceedings of Second Immunoinformatics and Computational Immunology Workshop (ICIW 2011) in conjunction with ACM International Conference on Bioinfor .2011

14. 2006 Su ECY,Lo A,Chiu HS,Sung TY,Hsu WL. Protein subcellular localization prediction based on compartment-specific biological features . Proceedings of IEEE Computational Systems Bioinformatics Conference .2006

研究計畫

計畫名稱
109 以深度學習分析臨床特徵及胚胎品質以提升人工受孕懷孕率之系統性預測方法開發
補助單位
科技部

計畫名稱
108 以深度學習方法優化抗高血壓胜肽預測之生物資訊學研究
補助單位
科技部

計畫名稱
108 以機器學習演算法進行抗癌胜肽預測及其生物活性評估之電腦輔助胜肽藥物設計研究
補助單位
科技部

計畫名稱
108 醫學資訊研究所博士生Atina Husnayain君擬於109年4月28日至5月1日赴瑞士日內瓦參加2020年歐洲醫學信息學
補助單位
科技部

計畫名稱
107 基於深度學習優化抗發炎胜肽預測及特性分析之免疫生物資訊學研究
補助單位
科技部

計畫名稱
107 以深度學習演算法進行過敏原預測及免疫球蛋白E抗原頂位辨識之電腦輔助疫苗設計研究
補助單位
科技部

計畫名稱
107 醫學資訊研究所碩士班研究生邱芷柔君擬於108年7月7日至7月10日赴日本神戶參加機器學習與控制國際會議
補助單位

計畫名稱
106 以深度學習演算法預測抗發炎胜肽之免疫生物資訊學研究
補助單位
科技部

計畫名稱
106 整合型抗原頂位預測系統之發展及其於轉譯生物資訊學癌症胜肽疫苗設計之應用
補助單位
科技部

計畫名稱
105 T細胞抗原決定位辨識之主要組織相容性複合體結合及抗原處理預測(2/2)
補助單位
科技部

計畫名稱
105 T細胞抗原決定位辨識之主要組織相容性複合體結合及抗原處理預測(2/2)
補助單位

計畫名稱
105 醫學資訊研究所碩士班研究生王振愷君擬於106年4月26日至4月27日赴西班牙巴塞隆納(Barcelona)參加Biocreative & BeCalm 專題研討會
補助單位

計畫名稱
105 醫學資訊研究所碩士班研究生孫桂聆君擬於106年5月28日至5月29日赴日本東京(Tokyo)參加國際衛生資訊與大數據研討會
補助單位

計畫名稱
104 T細胞抗原決定位辨識之主要組織相容性複合體結合及抗原處理預測(1/2)
補助單位
科技部

計畫名稱
104 T細胞抗原決定位辨識之主要組織相容性複合體結合及抗原處理預測(1/2)
補助單位
科技部

計畫名稱
104 醫學資訊研究所碩士班研究生翁嘉昕君擬於104年11月7日至104年11月9日赴日本東京(Tokyo)參加2015年轉譯生物資訊研討會
補助單位
科技部

計畫名稱
104 研究生劉雅芬君擬於105年1月21日至105年1月22日赴新加坡新加坡(Singapore)參加第9屆 亞洲青年學人生物資訊和生物體學會議
補助單位
科技部

計畫名稱
104 林和鋟君擬於105年5月10日至105年5月12日赴日本大阪(Osaka)參加資訊與工程國際大會
補助單位

計畫名稱
103 利用T細胞抗原決定位預測之電腦輔助疫苗設計
補助單位
科技部

計畫名稱
102 利用傾向尺度和對應分析之B細胞抗原決定位預測研究
補助單位
行政院國家科學委員會

計畫名稱
102 利用傾向尺度和對應分析之B細胞抗原決定位預測研究
補助單位
科技部

計畫名稱
101 蛋白質過敏性預測及其於免疫生物資訊研究之應用
補助單位
行政院國家科學委員會

計畫名稱
100 蛋白質細胞定位預測之改良及其在蛋白質功能和結構分析之應用
補助單位
行政院國家科學委員會

計畫名稱
98 計算蛋白質體學:蛋白質細胞定位預測及其在蛋白質功能分類之應用
補助單位
行政院國家科學委員會

計畫名稱
98 蛋白質功能分析—細胞定位預測之研究
補助單位
臺北醫學大學新聘教師計畫