Volume 18, No. 6, 2021

Extraction Of Medical Information Through Text Mining Method From Aco And Big Data

K Manikandan , Dr. Ramalingam sugumar


The rapid and precise exploration of texts through vast quantities of academic documents could reveal new information that could help us better understand human diseases and improve food detection, management and therapy. In this research, they built and implemented Text Mining (TM) on Big Data Analytics(BDA) that combines Apache Spark information broadcasting and computer learning technique of a NoSQL dataset. Euclidean method, Ant Colony Optimization (ACO) and multiple estimators were used to develop a prediction model from INSPEC to illustrate its effectiveness in categorizing cancer types.In the 29,437 full-text papers, ACO is able to predict a type of cancer with 93.81 percent accuracy.Text Mining took about 6 minutes to process the information, whereas rival other existing took more than 11 hours.

Pages: 7145-7156

Keywords: Text mining; prediction; NoSQL database; biomedical research; Ant Colony Optimization

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