FREIDA - Fracture Risk Evaluation using Highly Efficient Information Retrieval and Analysis of Large Healthcare Datasets

This paper presents an approach based on optimized data search and data analysis of high dimensional clinical health records, for the purpose of identifying the patients with significant risk of fracture to be introduced to the Fracture Liaison Service (FLS) for further investigations and treatment....

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Bibliographic Details
Published in2021 IEEE International Conference on Big Data (Big Data) pp. 3917 - 3922
Main Authors Marinescu, Alexandru-Ion, Muresan, Horea-Bogdan, Calin, Alina-Delia, Coroiu, Adriana-Mihaela, Talla, Maria
Format Conference Proceeding
LanguageEnglish
Published IEEE 15.12.2021
Subjects
Big Data
clinical records
Conferences
Data analysis
data retrieval
fracture risk
Information retrieval
Medical services
Object recognition
Optimization
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Summary:This paper presents an approach based on optimized data search and data analysis of high dimensional clinical health records, for the purpose of identifying the patients with significant risk of fracture to be introduced to the Fracture Liaison Service (FLS) for further investigations and treatment. The main objective of the work is to speed up and automate the process of identifying the patients suitable for FLS and provide a real decision support for the clinical team by fast information retrieval and structuring. The performed analysis and the current results are promising and support our research aim for the optimization of the process in the real life scenario.
DOI:10.1109/BigData52589.2021.9671799