The Role of Machine Learning Algorithms for Diagnosing Diseases

Published in

Journal of Applied Science and Technology Trends(2021)

External Links:

TL;DR

An overview of the machine learning algorithms that are applied for the identification and prediction of many diseases such as Naïve Bayes, logistic regression, support vector machine, K-nearest neighbor,K-means clustering, decision tree, and random forest are given.

Abstract

Nowadays, machine learning algorithms have become very important in the medical sector, especially for diagnosing disease from the medical database. Many companies using these techniques for the early prediction of diseases and enhance medical diagnostics. The motivation of this paper is to give an overview of the machine learning algorithms that are applied for the identification and prediction of many diseases such as Naïve Bayes, logistic regression, support vector machine, K-nearest neighbor, K-means clustering, decision tree, and random forest. In this work, many previous studies were reviewed that used machine learning algorithms for detecting various diseases in the medical area in the last three years. A comparison is provided concerning these algorithms, assessment processes, and the obtained results. Finally, a discussion of the previous works is presented.

Authors

A. Abdulazeez

4 papers

I. Ibrahim

1 papers

References105 items

The World with Future Technologies (Post-COVID-19): Open Issues, Challenges, and the Road Ahead

The Future with Industry 4.0 at the Core of Society 5.0: Open Issues, Future Opportunities and Challenges

Comparison of VPN Protocols at Network Layer Focusing on Wire Guard Protocol

Supervised Learning Algorithms: A Comparison

Weighted kNN and constrained elastic distances for time-series classification

The Role of Machine Learning Algorithms for Diagnosing Diseases

Published in

Journal of Applied Science and Technology Trends(2021)

External Links:

Generate Graph DownloadPDF

TL;DR

Abstract

Authors

A. Abdulazeez

4 papers

I. Ibrahim

1 papers

References105 items

The World with Future Technologies (Post-COVID-19): Open Issues, Challenges, and the Road Ahead

The Future with Industry 4.0 at the Core of Society 5.0: Open Issues, Future Opportunities and Challenges

Comparison of VPN Protocols at Network Layer Focusing on Wire Guard Protocol

Supervised Learning Algorithms: A Comparison

Weighted kNN and constrained elastic distances for time-series classification

MACHINE LEARNING ALGORITHMS TO ENHANCE SECURITY IN WIRELESS NETWORK

Breast Cancer Detection Using K-Nearest Neighbors, Logistic Regression and Ensemble Learning

Skin Cancer Detection using Machine Learning Techniques

Assisting the Non-invasive Diagnosis of Liver Fibrosis Stages using Machine Learning Methods

A combined deep CNN-LSTM network for the detection of novel coronavirus (COVID-19) using X-ray images

A Survey on machine learning techniques for the diagnosis of liver disease

Review of Feature Selection Techniques for Predicting Diseases

Disease Prediction using Machine Learning Algorithms

Predictive Analysis on Diabetes, Liver and Kidney Diseases using Machine Learning

A Look at Top 35 Problems in the Computer Science Field for the Next Decade

Data Mining for Early Gastric Cancer Etiological Factors from Diet-Lifestyle Characteristics

Diagnosing COVID-19 pneumonia from x-ray and CT images using deep learning and transfer learning algorithms

Applications of Machine Learning Predictive Models in the Chronic Disease Diagnosis

Heart Disease Prediction using Machine Learning Techniques

Analysis and Prediction of Cardio Vascular Disease using Machine Learning Classifiers

Prediction Lung Cancer– In Machine Learning Perspective

Machine Learning techniques for Prediction from various Breast Cancer Datasets

Heart Disease Prediction using Machine Learning

A Review on Machine Learning Techniques to Predict Diseases

Early Detection of Heart Syndrome Using Machine Learning Technique

Classification techniques for Disease detection using Big-data

Comparing different supervised machine learning algorithms for disease prediction

DKDR: An Approach of Knowledge Graph and Deep Reinforcement Learning for Disease Diagnosis

Comparative analysis of classification algorithms for chronic kidney disease diagnosis

Performance Comparison of Machine Learning Techniques on Diabetes Disease Detection

A Decision Support System for Diabetes Prediction Using Machine Learning and Deep Learning Techniques

Heart Disease Detection Using Machine Learning Majority Voting Ensemble Method

Identifying Diseases and Diagnosis using Machine Learning

Multiple regression model fitted for job satisfaction of employees working in saving and cooperative organization

Naïve Bayes Classifier for Journal Quartile Classification

Using Machine Learning Algorithms to Predict Hepatitis B Surface Antigen Seroclearance

Deep Learning Techniques for Medical Image Segmentation: Achievements and Challenges

Review of Deep Learning Algorithms and Architectures

Image and Video Compression With Neural Networks: A Review

Effective Prediction Model for Heart Disease Using Machine Learning Algorithm

Trainable Model Based on New Uniform LBP Feature to Identify the Risk of the Breast Cancer

Machine learning and Region Growing for Breast Cancer Segmentation

Unsupervised Learning Approach-Based New Optimization K-Means Clustering for Finger Vein Image Localization

Support Vector Machine Based Method for Automatic Detection of Diabetic Eye Disease using Thermal Images

Classification and Prediction of atherosclerosis diseases using machine learning algorithms

Random Forest Algorithm for the Prediction of Diabetes

Diabetes Prediction Using Different Machine Learning Approaches

A Quick Review of Machine Learning Algorithms

Interactive Thyroid Disease Prediction System Using Machine Learning Technique

Prediction of Liver Disease using Classification Algorithms

Application of Machine Learning in Disease Prediction

Support Vector Machine with Purified K-Means Clusters for Chronic Kidney Disease Detection

Feature selection and classification systems for chronic disease prediction: A review

Preemptive Diagnosis of Chronic Kidney Disease Using Machine Learning Techniques

Gene Selection and Classification of Microarray Data Using Convolutional Neural Network

Approach to Heart Diseases Diagnosis and Monitoring through Machine Learning and iOS Mobile Application

Diagnosis of Alzheimer's Disease Using Machine Learning

Breast cancer diagnosis using adaptive voting ensemble machine learning algorithm

Diagnosis of Breast Cancer using Decision Tree and Artificial Neural Network Algorithms

Medical Image Analysis using Convolutional Neural Networks: A Review

Machine learning techniques for classification of diabetes and cardiovascular diseases

Diagnosis of Chronic Kidney Disease Based on Support Vector Machine by Feature Selection Methods

Survey of Machine Learning Algorithms for Disease Diagnostic

Diagnosis of Focal Liver Diseases Based on Deep Learning Technique for Ultrasound Images

Prediction of Heart Disease Using Machine Learning Algorithms

A novel feature-selection approach based on the cuttlefish optimization algorithm for intrusion detection systems

A new feature selection model based on ID3 and bees algorithm for intrusion detection system

The Role of Machine Learning Techniques in Internet of Things-Based Cloud Applications

Multi-Level Fusion in Ultrasound for Cancer Detection based on Uniform LBP Features

AARIN: Affordable, accurate, reliable and innovative mechanism to protect a medical cyber-physical system using blockchain technology

Healthcare Solutions for Smart Era: An Useful Explanation from User’s Perspective

META-HEURISTIC ALGORITHMS FOR K-MEANS CLUSTERING: A REVIEW

Improved Threshold Based and Trainable Fully Automated Segmentation for Breast Cancer Boundary and Pectoral Muscle in Mammogram Images

Prediction of Prostate Cancer using Ensemble of Machine Learning Techniques

Cardiovascular Disease Prediction using Classification Algorithms of Machine Learning

Intelligent Automation Systems at the Core of Industry 4.0

Challenges of Applying Deep Learning in Real-World Applications

The Future with Advanced Analytics: A Sequential Analysis of the Disruptive Technology's Scope

Artificial Intelligence and Machine Learning Algorithms, Book: Challenges and Applications for Implementing Machine Learning in Computer Vision

AL-Zebari, Image Steganography Based on Swarm Intelligence Algorithms: A Survey

Venkata Naresh Mandhala and Debnath Bhattacharyya

Evaluating Data Mining Classification Methods Performance in Internet of Things Applications

Doghramachi, "Comparison of VPN Protocols at Network

Sagarnal, "Disease Prediction using Machine Learning Algorithms" International Conference for Emerging Technology (I.N.C.E.T.), Belgaum, India

Diagnosis of Chronic Kidney Disease using Random Forest Algorithms

Cardiovascular Disease Diagnosis: A Machine Learning Interpretation Approach

Performance Evaluation and Comparison of Clustering Algorithms used in Educational Data Mining

Blood Diseases Detection using Classical Machine Learning Algorithms

Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow

Mirsat Yesiltepe, "A Decision Support System for Diabetes Prediction

Detection of Hepatitis (A, B, C and E) Viruses Based on Random Forest, K-nearest and Naïve Bayes Classifier", 10th I.C.C.C.N.T

SRI, "A Review On Object Tracking Based On K.N.N

Ensemble Machine Learning for Leukemia Cancer Diagnosis based on Microarray Datasets

Diagnosis of Liver Disease Using Machine Learning Techniques

Random Forest vs Logistic Regression: Binary Classification for Heterogeneous Datasets

Combination of K-means clustering with Genetic Algorithm : A review

Diabetes Disease Diagnosis Method based on Feature Extraction using K-SVM

The Performance Analysis of K-Nearest Neighbors (K-NN) Algorithm for Motor Imagery Classification Based on EEG Signal

A Review ON K-means DATA Clustering APPROACH

100

THYROID DISEASE PREDICTION USING FEATURE SELECTION AND MACHINE LEARNING CLASSIFIERS

101

machine learning and

102

International Journal of Research in Circuits, Devices and Systems

103

Adnan Mohsin Abdulazeez, Diyar Qader Zeebaree

105

Security, Privacy Research issues in Various Computing Platforms: A Survey and the Road Ahead

Field of Study

Computer Science

Journal Information

Name

Journal of Applied Science and Technology Trends

Venue Information

Name

Journal of Applied Science and Technology Trends

Type

journal

URL

https://jastt.org/index.php/jasttpath

Alternate Names

J Appl Sci Technol Trends