Research output per year
Research output per year
Personal profile
Research interests
I am interested in Big Health Data analysis. Apply advanced natural language processing (NLP) and machine learning technologies into social media data to analyze public health altitudes. Currently focus on this application in palliative care field.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
Data Science, Master in Science, Data Science, King's College London
26 Sept 2019 → 8 Jan 2021
Award Date: 8 Jan 2021
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Social Media for Palliative and End-of-life Care Research: Systematic Review
Wang, Y., Koffman, J., Gao, W., Zhou, Y., Chukwusa, E. & Curcin, V., 10 Apr 2024, In: BMJ Supportive & Palliative Care.Research output: Contribution to journal › Review article › peer-review
Open AccessFile31 Downloads (Pure) -
Public Opinions About Palliative and End-of-Life Care During the COVID-19 Pandemic: Twitter-Based Content Analysis
Wang, Y., Chukwusa, E., Koffman, J. & Curcin, V., 2023, In: JMIR Formative Research. 7, e44774.Research output: Contribution to journal › Article › peer-review
Open AccessFile3 Citations (Scopus)22 Downloads (Pure) -
Use of Social Media for Palliative and End-of-life Care (PEoLC) Research: a Systematic Review
Wang, Y., Chukwusa, E. & Gao, W., 29 Jun 2021, 2 p. PROSPERO.Research output: Other contribution
Thesis
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Temporal-Spatial Analysis based Public Sentiment about COVID-19 On Social Media: A Case Study on Weibo In China
Author: Wang, Y., 23 Oct 2020Supervisor: Borgo, R. (Supervisor)
Student thesis: Master's Thesis › Master of Science