Gordana Jelic
Danica Mamula Tartalja
- Academy of Technical and Art Applied Studies Belgrade, Department School of Information and Communication Technologies, Zdravka Δelara 16, Belgrade, Serbia
Abstract:
The widespread adoption of mobile health (mHealth) has recently led to a significant expansion in the volume of medical data generated daily from diverse sources, including laboratory information systems, electronic health records (EHR), wearable devices, and social media. This trend is one reason why mHealth is increasingly associated with the concept of big data. Big data in healthcare encompasses a wide range of data types, differing in both source and level of structuring.
Text mining and semantic analysis techniques within big data analytics have shown promising potential in addressing challenges in this field. Unstructured textual data, often referred to as big text data, contains invaluable insights that can help healthcare practitioners in clinical decision-making, enhance healthcare outcomes, and benefit scientific discoveries. Consequently, text mining has been widely employed to convert unstructured textual data gathered from different sources into a structured format.
This paper provides a comprehensive overview of the tools and methods offered by Natural Language Processing (NLP) for extracting and analyzing meaningful information and patterns from large volumes of natural language text data. It focuses on various text preprocessing techniques used to prepare raw text files to obtain relevant linguistic units interpretable by computers.
Given that human language remains central for documenting diseases and treatments, the integration of rich terminology systems and NLP in healthcare and biomedical research is of tremendous importance for statistical analytics and knowledge discovery. Moreover, healthcare professionals require access to scalable and expandable big data infrastructure to facilitate decision-making and diagnosis, improve healthcare outcomes, and, importantly, reduce costs in this sector.
Tenth International Scientific-Business Conference LIMEN Leadership, Innovation, Management and Economics: Integrated Politics of Research - LIMEN 2024 - International Scientific-Business Conference β LIMEN 2024: Vol 10. Conference Proceedings , December 5, 2024
Conference Proceedings published by: Association of Economists and Managers of the Balkans, Belgrade, Serbia
ISBN: 9788680194929 , ISSN: 26836149 , DOI: 10.31410/LIMEN.2024
Creative Commons Non Commercial CC BY-NC: This article is distributed under the terms of the Creative Commons Attribution-Non-Commercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission.
