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Chunlei Tang, Ph.D.

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Biography
2012
Sa, Shixuan Best Student Paper, the 29th National Database Conference of China
2016
IEEE Senior Member
2016
Partners in Excellence - Team Award
2017
Partners in Excellence - Team Award
2018
One of 2017 Top 15 Best Papers in Cancer Informatics, the 2018 IMIA Yearbook
2018
IEEE BIBM Student Travel Award, the US National Science Foundation
2018
Partners in Excellence - Team Award

Overview
Dr. Tang, author of The Data Industry: The Business and Economics of Information and Big Data, is a recognized advocate for the Data Economy. She is a research associate at Harvard Medical School. Tang also serves as the Founder President of the Harvard Data Entrepreneurship Club.

Tang’s work begins with an innovative data-mining method built upon her doctoral work and applicable to various fields (e.g., finance, economics, insurance, bioinformatics, and sociology). She then endeavored to better match data products with their marketing capabilities by tackling business innovation. Inspired by business, she implemented a theoretical innovation for Data Science and proposed the (now-mainstream) definition of the data industry in 2013, stating that the data industry aims to bridge the gap between data science and economics. Her current focus is on applying innovation in healthcare, and she believes precision medicine is an application of the data industry.

Research
The research activities and funding listed below are automatically derived from NIH ExPORTER and other sources, which might result in incorrect or missing items. Faculty can login to make corrections and additions.
  1. 2019A010169 (Dykes, Patricia C.) Jul 1, 2019 - Jun 30, 2021
    The CRICO/Risk Management Foundation of the Harvard Medical Institutes Incorporated
    ADVANCE: From Sepsis Prognosis Prediction to Tailored Clinical Practice: A Deep Learning Approach
    Role Description: Our strategy is to build a sepsis prognosis prediction algorithm by combining knowledge of sepsis prognosis learned from electronic health record data and clinician’s perspective. Based on the developed algorithm, we will develop a CDS specification that can be implemented in any EHR system, specifically in critical and acute care settings. This will improve sepsis management for hospitalized patients.
    Role: Key personnel

Bibliographic
Publications listed below are automatically derived from MEDLINE/PubMed and other sources, which might result in incorrect or missing publications. Faculty can login to make corrections and additions.
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PMC Citations indicate the number of times the publication was cited by articles in PubMed Central, and the Altmetric score represents citations in news articles and social media. (Note that publications are often cited in additional ways that are not shown here.) Fields are based on how the National Library of Medicine (NLM) classifies the publication's journal and might not represent the specific topic of the publication. Translation tags are based on the publication type and the MeSH terms NLM assigns to the publication. Some publications (especially newer ones and publications not in PubMed) might not yet be assigned Field or Translation tags.) Click a Field or Translation tag to filter the publications.
  1. Shi D, Tang C, Blackley SV, Wang L, Yang J, He Y, Bennett SI, Xiong Y, Shi X, Zhou L, Bates DW. An annotated dataset of tongue images supporting geriatric disease diagnosis. Data Brief. 2020 Oct; 32:106153. PMID: 32904258.
    Citations:    
  2. Plasek JM, Tang C, Zhu Y, Huang Y, Bates DW. Following data as it crosses borders during the COVID-19 pandemic. J Am Med Inform Assoc. 2020 07 01; 27(7):1139-1141. PMID: 32311047.
    Citations:    
  3. Tang C, Plasek JM, Xiong Y, Zhang Z, Bates DW, Zhou L. A Clustering Algorithm Based on Document Embedding to Identify Clinical Note Templates. Ann. Data. Sci. 2020. View Publication.
  4. Tang C, Plasek J, Shi X, Wan M, Zhang H, Kang MJ, Wang L, Dulgarian SM, Xiong Y, Ma J, Bates DW, Zhou L. Estimating Time to Progression of Chronic Obstructive Pulmonary Disease with Tolerance. IEEE J Biomed Health Inform. 2020 May 04; PP. PMID: 32386167.
    Citations:    
  5. Xiong Y, Guo M, Ruan L, Kong X, Tang C, Zhu Y, Wang W. Heterogeneous network embedding enabling accurate disease association predictions. BMC Med Genomics. 2019 12 23; 12(Suppl 10):186. PMID: 31865913.
    Citations:    
  6. Tang C, Plasek JM, Zhang H, Kang MJ, Sheng H, Xiong Y, Bates DW, Zhou L. A temporal visualization of chronic obstructive pulmonary disease progression using deep learning and unstructured clinical notes. BMC Med Inform Decis Mak. 2019 12 17; 19(Suppl 8):258. PMID: 31842874.
    Citations:    
  7. Zhang Z, Tang C, Plasek JM, Xiong Y, Kang M, Dykes PC, Bates DW, Zhou L. Data Reconstruction Based on Temporal Expressions in Clinical Notes. Bioinformatics and Biomedicine (BIBM), IEEE International Conference on. 2019; 1004-1008. View Publication.
  8. Tang C, Zhu Y, Blackley S, Plasek J, Wan M, Zhou L, Ma J, Bates D. Visualizing Literature Review Theme Evolution on Timeline Maps: Comparison Across Disciplines. IEEE ACCESS. 2019; 7:90597-90607. View Publication.
  9. Tang C, Sun H, Xiong Y, Yang J, Vitale C, Ruan L, Ai A, Yu G, Ma J, Bates D. Medication Use for Childhood Pneumonia at a Children's Hospital in Shanghai, China: Analysis of Pattern Mining Algorithms. JMIR Med Inform. 2019 Mar 22; 7(1):e12577. PMID: 30900998.
    Citations:    
  10. Tang C, Plasek J, Zhang H, Xiong Y, Bates D, Zhou L (NSF Student Travel Award). A Deep Learning Approach to Handling Temporal Variation in Chronic Obstructive Pulmonary Disease Progression. Bioinformatics and Biomedicine (BIBM), IEEE International Conference on. 2018; 502-509. View Publication.
  11. Tang C, Plasek JM, Bates DW. Rethinking Data Sharing at the Dawn of a Health Data Economy: A Viewpoint. J Med Internet Res. 2018 11 22; 20(11):e11519. PMID: 30467103.
    Citations:    Fields:    
  12. Tang C. Health Big Data Resources. Big Data Resources. Zhu, Yangyong (editor). Shanghai Scientific & Technical Publishers. 2017. View Publication.
  13. Tang C, Zhang H, Lai H, She Y, Xiong Y, Zhou L. Developing a Regional Classifier to Track Patient Needs in Medical Literature Using Spiral Timelines on a Geographical Map. Bioinformatics and Biomedicine (BIBM), IEEE International Conference on. 2017; 864-869. View Publication.
  14. Tang C, Zhou L, Plasek J, Rozenblum R, Bates D. Comment Topic Evolution on a Cancer Institution's Facebook Page. Appl Clin Inform. 2017 Aug 23; 8(3):854-865. PMID: 28832069.
    Citations:    Fields:    Translation:Humans
  15. Tang C. The Data Industry: The Business and Economics of Information and Big Data. John Wiley & Sons; 1 edition (June 2, 2016). 2016; 216 pages. View Publication.
  16. Tang C, Dong J (Sa, Shixuan Best Student Paper Award). Similarity Query of Time Series Sub-Sequences Based on LSH. Jisuanji Xuebao (Chinese Journal of Computers). 2012; 11(35):2228-2236. View Publication.
  17. Yu XJ, Fang F, Tang CL, Yao L, Yu L, Yu L. dbHCCvar: a comprehensive database of human genetic variations in hepatocellular carcinoma. Hum Mutat. 2011 Dec; 32(12):E2308-16. PMID: 21936021.
    Citations: 6     Fields:    Translation:Humans
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Funded by the NIH National Center for Advancing Translational Sciences through its Clinical and Translational Science Awards Program, grant number UL1TR002541.