Table 1.

Top ten cited papers published in MLBDD in between 2012–2021 based on Scopus and WOS database.

Author(s)	Article Titles	Citation
[27]	Machine learning for prediction of all-cause mortality in patients with suspected coronary artery disease: a 5-year multicentre prospective registry analysis	257
[28]	Random forest-based similarity measures for multi-modal classification of Alzheimer’s disease	248
[29]	Effective Heart disease prediction Using hybrid Machine Learning techniques	214
[30]	Deep Convolutional Neural Network based medical image classification for disease diagnosis	155
[31]	Detection of subjects and brain regions related to Alzheimer’s disease using 3D MRI scans based on Eigenbrain and Machine Learning	147
[32]	Using methods from the data-mining and machine-learning literature for disease classification and prediction: a case study examining classification of Heart failure subtypes	139
[33]	DWT based detection of Epileptic Seizure From EEG signals using Naive Bayes and k-NN classifiers	134
[34]	Random Forest ensembles for detection and prediction of Alzheimer’s disease with a good between-cohort robustness	129
[35]	ECG Arrhythmia classification based on optimum-path forest	111
[36]	Gaussian process classification of Alzheimer’s disease and mild cognitive impairment from resting-state fMRI	107