Abstract
Machine Learning (ML) technologies in recent times are widely applied in various areas to assist knowledge gaining and decision-making tasks and healthcare is one of the important area among these tasks. In this paper, we propose a process to identify reliable health data from online resources and process the data to enable being used by the ML technologies. As an example, we scrap a condition-symptom dataset with Natural Language Processing (NLP) features from one of the UK NHS website. In addition, we examine our data in depth by having symptom frequency, similarity and clustering analysis.
| Original language | English |
|---|---|
| Title of host publication | nan |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 1683-1687 |
| ISBN (Print) | 9781728140346 |
| DOIs | |
| Publication status | Published - 9 Apr 2020 |
| Event | IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation - Leicester Duration: 19 Aug 2019 → 23 Aug 2019 |
Conference
| Conference | IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation |
|---|---|
| City | Leicester |
| Period | 19/08/19 → 23/08/19 |
| Other | IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (19/08/2019-23/08/2019, Leicester) |
Keywords
- Data analysis
- Data-reliability
- Health
- Natural language processing
- machine learning
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