A
Abhijith Reddy Beeravolu
Researcher at Charles Darwin University
Publications - 3
Citations - 236
Abhijith Reddy Beeravolu is an academic researcher from Charles Darwin University. The author has contributed to research in topics: Statistical classification & Support vector machine. The author has an hindex of 2, co-authored 3 publications receiving 28 citations.
Papers
More filters
Journal ArticleDOI
Efficient Prediction of Cardiovascular Disease Using Machine Learning Algorithms With Relief and LASSO Feature Selection Techniques
Pronab Ghosh,Sami Azam,Mirjam Jonkman,Asif Karim,F. M. Javed Mehedi Shamrat,Eva Ignatious,Shahana Shultana,Abhijith Reddy Beeravolu,Friso De Boer +8 more
TL;DR: In this article, the authors proposed a model that incorporates different methods to achieve effective prediction of heart disease, which used efficient Data Collection, Data Pre-processing and Data Transformation methods to create accurate information for the training model.
Journal ArticleDOI
Preprocessing of Breast Cancer Images to Create Datasets for Deep-CNN
Abhijith Reddy Beeravolu,Sami Azam,Mirjam Jonkman,Bharanidharan Shanmugam,Krishnan Kannoorpatti,Adnan Anwar +5 more
TL;DR: In this article, Huang et al. proposed effective image pre-processing methods to create datasets that can save computational time for the neural network and improve accuracy and classification rates for mammographic images.
Journal ArticleDOI
A Comprehensive Unsupervised Framework for Chronic Kidney Disease Prediction
Linta Antony,Sami Azam,Eva Ignatious,Ryana Quadir,Abhijith Reddy Beeravolu,Mirjam Jonkman,Friso De Boer +6 more
TL;DR: In this article, the authors implemented five unsupervised machine learning algorithms (i.e., K-Means clustering, DB-Scan, I-Forest, and Autoencoder) and integrated them with various feature selection methods, achieving an overall accuracy of 99% in classifying clinical data of CKD and non-CKD.