ISSN 2394-5125
 

Research Article 


APPLICATIONS OF MACHINE LEARNING TECHNIQUES FOR DISEASE DIAGNOSIS: A REVIEW

Mohammad Atif, Jamshed Siddiqui, Faisal Talib, Shahab Saquib Sohail.

Abstract
Abstract
The proliferation of machine learning techniques in different capacities for real life problems has
changed the way in which problems are perceived and solved. We study the present status of ML
applications in medical care and explore their potential. Machine Learning can be employed for
different varieties of healthcare data (structured and unstructured). Some well-known ML
techniques which are used for diagnosing diseases like cancer, diabetes mellitus, hepatitis, and
cardiovascular diseases include Neural Network (NN), K-Nearest Neighbor (K-NN), Decision Tree
(DT) and classical Support Vector Machine (SVM). Within this exploration, the utilization of
machine learning for detection and diagnosis of diseases is studied. The key focus is to discover
machine learning techniques (MLT), which are extensively utilized to anticipate, forecast and treat
vital regular illnesses, for example, malignancies (cancers), diabetes, hepatitis, and cardiovascular
diseases.

Key words: Keywords: ANN, K-NN, SVM, Decision Tree


 
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How to Cite this Article
Pubmed Style

Mohammad Atif, Jamshed Siddiqui, Faisal Talib, Shahab Saquib Sohail. APPLICATIONS OF MACHINE LEARNING TECHNIQUES FOR DISEASE DIAGNOSIS: A REVIEW. JCR. 2020; 7(17): 2652-2661. doi:10.31838/jcr.07.17.330


Web Style

Mohammad Atif, Jamshed Siddiqui, Faisal Talib, Shahab Saquib Sohail. APPLICATIONS OF MACHINE LEARNING TECHNIQUES FOR DISEASE DIAGNOSIS: A REVIEW. http://www.jcreview.com/?mno=100569 [Access: June 02, 2021]. doi:10.31838/jcr.07.17.330


AMA (American Medical Association) Style

Mohammad Atif, Jamshed Siddiqui, Faisal Talib, Shahab Saquib Sohail. APPLICATIONS OF MACHINE LEARNING TECHNIQUES FOR DISEASE DIAGNOSIS: A REVIEW. JCR. 2020; 7(17): 2652-2661. doi:10.31838/jcr.07.17.330



Vancouver/ICMJE Style

Mohammad Atif, Jamshed Siddiqui, Faisal Talib, Shahab Saquib Sohail. APPLICATIONS OF MACHINE LEARNING TECHNIQUES FOR DISEASE DIAGNOSIS: A REVIEW. JCR. (2020), [cited June 02, 2021]; 7(17): 2652-2661. doi:10.31838/jcr.07.17.330



Harvard Style

Mohammad Atif, Jamshed Siddiqui, Faisal Talib, Shahab Saquib Sohail (2020) APPLICATIONS OF MACHINE LEARNING TECHNIQUES FOR DISEASE DIAGNOSIS: A REVIEW. JCR, 7 (17), 2652-2661. doi:10.31838/jcr.07.17.330



Turabian Style

Mohammad Atif, Jamshed Siddiqui, Faisal Talib, Shahab Saquib Sohail. 2020. APPLICATIONS OF MACHINE LEARNING TECHNIQUES FOR DISEASE DIAGNOSIS: A REVIEW. Journal of Critical Reviews, 7 (17), 2652-2661. doi:10.31838/jcr.07.17.330



Chicago Style

Mohammad Atif, Jamshed Siddiqui, Faisal Talib, Shahab Saquib Sohail. "APPLICATIONS OF MACHINE LEARNING TECHNIQUES FOR DISEASE DIAGNOSIS: A REVIEW." Journal of Critical Reviews 7 (2020), 2652-2661. doi:10.31838/jcr.07.17.330



MLA (The Modern Language Association) Style

Mohammad Atif, Jamshed Siddiqui, Faisal Talib, Shahab Saquib Sohail. "APPLICATIONS OF MACHINE LEARNING TECHNIQUES FOR DISEASE DIAGNOSIS: A REVIEW." Journal of Critical Reviews 7.17 (2020), 2652-2661. Print. doi:10.31838/jcr.07.17.330



APA (American Psychological Association) Style

Mohammad Atif, Jamshed Siddiqui, Faisal Talib, Shahab Saquib Sohail (2020) APPLICATIONS OF MACHINE LEARNING TECHNIQUES FOR DISEASE DIAGNOSIS: A REVIEW. Journal of Critical Reviews, 7 (17), 2652-2661. doi:10.31838/jcr.07.17.330