Building a Graph Database for Storing Heterogeneous Healthcare Data
| Autor: | Goutam Kundu, Safikureshi Mondal, Nandini Mukherjee |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
0303 health sciences
Information retrieval Graph database Computer science business.industry Big data Recommender system NoSQL computer.software_genre Data modeling 03 medical and health sciences 0302 clinical medicine Treatment episode Graph (abstract data type) 030212 general & internal medicine business Healthcare data computer 030304 developmental biology |
| Zdroj: | Information and Communication Technology for Intelligent Systems ISBN: 9789811570612 |
| Popis: | Healthdata is unstructured and heterogeneous. Storing and managing healthdata therefore require NoSQL data models, so that they can be efficiently accessed. In this paper, we propose a graph-based data model for presenting patient and doctor relationships when a treatment episode starts. On top of this data model, a doctor recommender system and an online healthcare delivery system have been built which can be used for treating patients remotely. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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