Open AccessNovel Approach to Transform Unstructured Healthcare Data to Structured Data
Author(s) -
Antenna Anusha
Publication year - 2021
Publication title -
international journal for research in applied science and engineering technology
Language(s) - English
Resource type - Journals
ISSN - 2321-9653
DOI - 10.22214/ijraset.2021.36972
Subject(s) - unstructured data , computer science , data extraction , data pre processing , task (project management) , data mining , preprocessor , key (lock) , information retrieval , table (database) , dimension (graph theory) , data science , artificial intelligence , big data , medline , engineering , computer security , systems engineering , political science , law , mathematics , pure mathematics
With the rapid growth in number and dimension of databases and database applications in Healthcare records, it is necessary to design a system to achieve automatic extraction of facts from huge table. At the same point, there is a provocation in controlling unstructured data as it highly difficult to analyze and extract actionable intelligence. Preprocessing is an important task and critical step in Text Mining, Regular Expression and Information retrieval. The accession of key data from unstructured data is often difficult. The objective of this project is to transform the unstructured healthcare data to structured data particularly to gain perception and to generate appropriate structured data.