A. S. Abdullah

发表

A Data mining Model for predicting the Coronary Heart Disease using Random Forest Classifier

R. R. Rajalaxmi, A. Sheik Abdullah, A. S. Abdullah, 2012 .

Prevalence of diabetes and impact on cardiovascular events and mortality in patients with chronic coronary syndromes, across multiple geographical regions and ethnicities.

T. S. Chee, D. S. Kim, S. H. Lee, 2021, European journal of preventive cardiology.

Lipid Profile and Insulin Resistance in Patients with Type-ΙΙ Diabetes Mellitus

A. S. Abdullah, Layla K. Ali, Hadil Walid, 2011 .

Medical Steel Fault Prediction Using Deep Learning Techniques

S. Selvakumar, A. Sheik Abdullah, A Manoj, 2021, FedCSIS.

A Text Analytics-based E-Healthcare Decision Support Model Using Machine Learning Techniques

S. Selvakumar, A. Sheik Abdullah, P. Karthikeyan, 2021, Smart Computational Intelligence in Biomedical and Health Informatics.

Assessment and evaluation of CHD risk factors using weighted ranked correlation and regression with data classification

S. Selvakumar, A. Sheik Abdullah, M. Venkatesh, 2021, Soft Computing.

Assessment and Evaluation of cancer CT images using deep learning Techniques

A. S. Abdullah, A. Manoj, S. Selvakumar, 2021, 2021 2nd International Conference on Secure Cyber Computing and Communications (ICSCCC).

An Introduction to Data Analytics: Its Types and Its Applications

S. Selvakumar, A. M. Abirami, A. Sheik Abdullah, 2017 .

Analysis of Ground Water Quality Using Statistical Techniques

A. S. Abdullah, K. Keerthy, K. Keerthy, 2020 .

Assessment of the risk factors for type II diabetes using an improved combination of particle swarm optimization and decision trees by evaluation with Fisher’s linear discriminant analysis

S. Selvakumar, A. Sheik Abdullah, A. S. Abdullah, 2018, Soft Computing.

Social Network Analysis

A. Sheik Abdullah, T G R Abiramie Shree, A. S. Abdullah, 2020, Big Data Analytics for Sustainable Computing.

Decision support system for type II diabetes and its risk factor prediction using bee-based harmony search and decision tree algorithm

R. Suganya, S. Selvakumar, A. Sheik Abdullah, 2019, International Journal of Biomedical Engineering and Technology.

Big Data and Analytics

A. Sheik Abdullah, P Priyadharshini, A. S. Abdullah, 2020, Big Data Analytics for Sustainable Computing.

A Hybrid Decision Support Model for Type II Diabetes

A. Sheik Abdullah, S. Selvakumar, V Rishi Kumar, 2018, 2018 International Conference on Advances in Computing, Communications and Informatics (ICACCI).

Data Classification: Its Techniques and Big Data

R. Suganya, S. Rajaram, S. Selvakumar, 2017 .

Assessment of the risk factors of type II diabetes using ACO with self-regulative update function and decision trees by evaluation from Fisher’s Z-transformation

A. S. Abdullah, 2022, Medical & Biological Engineering & Computing.

Retraction Retraction: Detecting Subacute Thyroiditis after COVID-19

K. R. A. Bhubesh, A. S. Abdullah, R. Suganya, 2021 .

Big Data Analytics in Healthcare Sector

A. M. Abirami, S. Selvakumar, A. Sheik Abdullah, 2019 .

Data Classification

A. S. Abdullah, 2019, CCSP (ISC)2 Certified Cloud Security Professional Official Study Guide, 2nd Edition.

Prevalence of diabetes and impact on cardiovascular events and mortality in patients with chronic coronary syndromes, across multiple geographical regions and ethnicities.

T. S. Chee, D. S. Kim, S. H. Lee, 2022, European journal of preventive cardiology.

Detecting Subacute Thyroiditis after COVID-19 infection using Deep Learning Techniques – A Case Study

K. R. A. Bhubesh, A. S. Abdullah, R. Suganya, 2021, Journal of Physics: Conference Series.

Comparing the Efficacy of Decision Tree and its Variants using Medical Data

S. Selvakumar, A. Sheik Abdullah, P. Karthikeyan, 2017 .