Keywords : Big Data analytics


Investigation into the Implementation of Medical Imaging

Bharath Bhaskar; Arjun Kundapur

International Research Journal on Advanced Science Hub, 2021, Volume 3, Issue Special Issue 9S, Pages 43-51
DOI: 10.47392/irjash.2021.248

In this article, we evaluate and discuss the implications of data analytics and Hadoop on clinical image analysis based on predictive algorithms. Each day, the healthcare industry analyses massive amounts of data. A large number of images were produced by various instruments on the patient in various medical situations. Numerous image processing methods and techniques are being developed in an attempt to obtain the most accurate information from images in order to provide an accurate diagnosis. To achieve maximum performance, both current and constantly evolving big data and hadoop ideas may provide more from image processing. The article examines the importance of big data analytics and hadoop in medical image processing utilizing HIPI and Map reduction inside the future implementation of Big data analytics (BDA) and Map reduction.

Comparison of ECB-LDA and DSO-RBNN in Diabetes Prediction using Big Data Analytics

GeoJenefer G.; Deepa A.J

International Research Journal on Advanced Science Hub, 2021, Volume 3, Issue Special Issue 6S, Pages 67-70
DOI: 10.47392/irjash.2021.168

Diabetes is one of the chronic diseases rovering all over the world. It affects people in all ages. Even child by birth also getting affected by this disease. Already various machine learning algorithms were used to predict diabetes. This work compares two algorithms Enhanced Catboost with Linear Discriminant Analysis (ECB-LDA) and Dolphin Swarm Optimization with Radial Basis Neural Network (DSO-RBNN) which were used for diabetes prediction.  Also hospitals and other clinical centers are facing problem in handling large amount of data. To solve such problem and also do early prediction of diabetes, big data analytics is used. This work proves that the accuracy of DSO-RBNN is better than the ECB-LDA.