Moloud Abdar
Moloud Abdar
PhD student, Deakin University, Australia
Verified email at - Homepage
Cited by
Cited by
Comparing Performance of Data Mining Algorithms in Prediction Heart Diseases.
M Abdar, SRN Kalhori, T Sutikno, IMI Subroto, G Arji
International Journal of Electrical & Computer Engineering (2088-8708) 5 (6), 2015
Performance analysis of classification algorithms on early detection of liver disease
M Abdar, M Zomorodi-Moghadam, R Das, IH Ting
Expert Systems with Applications 67, 239-251, 2017
A new machine learning technique for an accurate diagnosis of coronary artery disease
M Abdar, W Książek, UR Acharya, RS Tan, V Makarenkov, P Pławiak
Computer methods and programs in biomedicine 179, 104992, 2019
A novel machine learning approach for early detection of hepatocellular carcinoma patients
W Książek, M Abdar, UR Acharya, P Pławiak
Cognitive Systems Research 54, 116-127, 2019
A new nested ensemble technique for automated diagnosis of breast cancer
M Abdar, M Zomorodi-Moghadam, X Zhou, R Gururajan, X Tao, PD Barua, ...
Pattern Recognition Letters 132, 123-131, 2020
Improving the diagnosis of liver disease using multilayer perceptron neural network and boosted decision trees
M Abdar, NY Yen, JCS Hung
Journal of Medical and Biological Engineering 38 (6), 953-965, 2018
Using PSO algorithm for producing best rules in diagnosis of heart disease
AH Alkeshuosh, MZ Moghadam, I Al Mansoori, M Abdar
2017 international conference on computer and applications (ICCA), 306-311, 2017
Rule optimization of boosted c5. 0 classification using genetic algorithm for liver disease prediction
M Hassoon, MS Kouhi, M Zomorodi-Moghadam, M Abdar
2017 international conference on computer and applications (icca), 299-305, 2017
Application of new deep genetic cascade ensemble of SVM classifiers to predict the Australian credit scoring
P Pławiak, M Abdar, UR Acharya
Applied Soft Computing 84, 105740, 2019
Using Decision Trees in Data Mining for Predicting Factors Influencing of Heart Disease
M Abdar
Carpathian Journal of Electronic and Computer Engineering (CJECE) 8 (No. 2 …, 2015
Machine learning-based coronary artery disease diagnosis: A comprehensive review
R Alizadehsani, M Abdar, M Roshanzamir, A Khosravi, PM Kebria, ...
Computers in biology and medicine 111, 103346, 2019
CWV-BANN-SVM ensemble learning classifier for an accurate diagnosis of breast cancer
M Abdar, V Makarenkov
Measurement 146, 557-570, 2019
IAPSO-AIRS: A novel improved machine learning-based system for wart disease treatment
M Abdar, VN Wijayaningrum, S Hussain, R Alizadehsani, P Plawiak, ...
Journal of medical systems 43 (7), 220, 2019
Impact of patients’ gender on parkinson’s disease using classification algorithms
M Abdar, M Zomorodi-Moghadam
Journal of AI and Data Mining 6 (2), 277-285, 2018
Understanding regional characteristics through crowd preference and confidence mining in P2P accommodation rental service
M Abdar, NY Yen
Library Hi Tech, 2017
DGHNL: A new deep genetic hierarchical network of learners for prediction of credit scoring
P Pławiak, M Abdar, J Pławiak, V Makarenkov, UR Acharya
Information Sciences 516, 401-418, 2020
Design of a universal user model for dynamic crowd preference sensing and decision-making behavior analysis
M Abdar, NY Yen
IEEE Access 5, 24842-24852, 2017
A Survey and Compare the Performance of IBM SPSS Modeler and Rapid Miner Software for Predicting Liver Disease by Using Various Data Mining Algorithms
Cumhuriyet University Faculty of Science Science Journal (CSJ) 36 (3 Special …, 2015
A database for using machine learning and data mining techniques for coronary artery disease diagnosis
R Alizadehsani, M Roshanzamir, M Abdar, A Beykikhoshk, A Khosravi, ...
Scientific data 6 (1), 1-13, 2019
Automated detection of autism spectrum disorder using a convolutional neural network
Z Sherkatghanad, M Akhondzadeh, S Salari, M Zomorodi-Moghadam, ...
Frontiers in Neuroscience 13, 2019
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