Intelligent Decision Support System for Medical Image Analysis Using Machine Learning

Authors

  • Kapil Rajput Asst. Professor, Department of Comp. Sc. & Info. Tech. Graphic Era Hill University, Dehradun Uttarakhand 248002
  • Sushant Tryambak Patil Symbiosis Centre for Management and Human Resource Development (SCMHRD) Symbiosis International (Deemed University) Pune - 412115
  • Sarika Keswani Assistant Professor Symbiosis Centre for Management Studies Nagpur (SCMS Nagpur) Symbiosis International (Deemed University) Pune
  • Yogesh Mahajan Assistant professor Symbiosis Centre for Management & Human Research Development, Symbiosis International University, Pune

Keywords:

Artificial Neural Networks (ANNs), Support Vector Machines (SVM), Intelligent methods, complex tasks

Abstract

Extensive studies are being conducted to determine the efficacy of using machine learning techniques in the medical field. Disease recognition from many data sources and modeling human-like behavior or thought processes are its primary focuses. Medical data that may be utilized to assist choices in the field of medicine has been routinely collected and stored thanks to recent advancements in computers and innovations in technology. But initially, digital patient data collection and organization is required in most nations. After data collection, diagnostics, signal/image analysis, prediction, and treatment planning are required to arrive at a medical conclusion. Artificial Neural Network (ANN) computing and Support Vector Machines (SVM) are two machine learning techniques that have shown effective in tackling problems of this complexity. The paper includes a study of intelligent approaches for medical decision making that intends to explore and illustrate their potential in this setting.

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Input sample CT scan brain image

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Published

01.07.2023

How to Cite

Rajput, K. ., Patil, S. T. ., Keswani, S. ., & Mahajan , Y. . (2023). Intelligent Decision Support System for Medical Image Analysis Using Machine Learning. International Journal of Intelligent Systems and Applications in Engineering, 11(7s), 15–19. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/2924

Issue

Vol. 11 No. 7s (2023): Advancements in Machine Learning for Computer Science and Decision Support Systems

Section

Research Article

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