Efficient Automated Disease Diagnosis Using Machine Learning Models

Table 1

Comparative analysis of the existing techniques.

Ref.	Year	Model	Features	Application
[2]	2019	Machine learning models	Used general linear model (GLM) regression, support vector machines (SVMs) with a radial basis function kernel, and single-layer artificial neural networks	Medicine
[3]	2019	Artificial intelligence in healthcare	AI can perform healthcare tasks as well or better than humans, implementation factors will prevent large-scale automation of healthcare professional jobs for a considerable period	Healthcare
[4]	2016	—	In addition to individual CVD risk factors, Framingham and systematic coronary risk evaluation (SCORE) algorithms were used to assess the absolute risk of a CVD	Open heart
[6]	2020	DenseNet201	A DenseNet201-based deep transfer learning (DTL) is proposed to classify the patients as COVID infected or not, i.e., COVID-19 (+) or COVID (−)	COVID-19
[8]	2019	Deep learning	A Comprehensive analysis was presented on the use of machine and deep learning for IDS systems in wireless sensor networks (WSNs)	Wireless networks
[26]	2016	Data mining technique	Decision tree shows better results as compared with J48, logistic model tree algorithm, and random forest	Heart disease
[27]	2016	Heart disease	The features reduction has an impact on classifiers performance in terms of accuracy and execution time of classifiers	Medical
[28]	2019	Machine learning	Artificial neural network optimized by particle swarm optimization (PSO) combined with ant colony optimization (ACO) approaches	Heart disease
[29]	2019	Ensemble classification techniques	The ensemble technique can be applied for improving prediction accuracy in heart disease	Medicine
[30]	2020	Deep transfer learning	Used to detect and diagnose COVID-19. Chest X-rays is preferred over CT scan	COVID-19
[32]	2020	Deep convolutional neural networks	Computed tomography (CT) scans to diagnose pneumonia, lung inflammation, abscesses, and enlarged lymph nodes. Since COVID-19 attacks the epithelial cells that line our respiratory tract, therefore, X-ray images are utilized	COVID-19