March 2025 Issue

Citation Indices	All	Since 2019
Citation	231	195
h-index	7	6
i10-index	3	3

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Acceptance Rate (By Year)
Year	Percentage
2024	8.17%
2023	10.84%
2022	9.14%
2021	11.26%
2020	11.8%
2019	10.3%
2018	8.65%
2017	12.9%
2016	10.9%
2015	12.5%

Special Issue: May, 2024

1. A Review of Managed Learning Process for Constructing Decision Trees in Clinical Diagnosis

Authors Badinehalu Mrutha

Digital Identification Number: IMJH-SVU-MAY-2024-1

Page No.: 01-04

2. AI Models for Predicting Mammographic Mass Severity

Authors Bukke Devendranaik

Digital Identification Number: IMJH-SVU-MAY-2024-2

Page No.: 05-09

3. AI Approaches for Imputing Missing Values in Mammogram Mass Data

Authors Chappidi Sravanthi

Digital Identification Number: IMJH-SVU-MAY-2024-3

Page No.: 10-14

4. Forecasting and Recognition of Coronary Illness Utilizing Clinical Data Mining Techniques

Authors G Tejaswini

Digital Identification Number: IMJH-SVU-MAY-2024-4

Page No.: 15-19

5. Investigating Clinical Data Integration for Enhanced Healthcare Management: A Focus on Feature Determination Based on Mutual Information for Multiclassification Performance

Authors Galeti Sivaprasad

Digital Identification Number: IMJH-SVU-MAY-2024-5

Page No.: 20-24

6. Identifying Breast Cancer through the Application of Machine Learning Algorithms: A Comprehensive Exploration of Techniques and Methods for Detection and Diagnosis

Authors G Mallikarjunareddy

Digital Identification Number: IMJH-SVU-MAY-2024-6

Page No.: 25-29

7. Developing An Accurate Model for Comprehensive Analysis Of Mammographic Masses In Clinical Settings

Authors Jalam Likhitha

Digital Identification Number: IMJH-SVU-MAY-2024-7

Page No.: 30-33

8. Exploring a Supervised Learning Approach for Enhanced Clinical Diagnosis and Discovery

Authors Kallagunta Bhavanapriya

Digital Identification Number: IMJH-SVU-MAY-2024-8

Page No.: 34-37

9. Implementing Artificial Intelligence Algorithms for Predicting Survival Rates in Breast Cancer Patients

Authors Kalluru Madhavi

Digital Identification Number: IMJH-SVU-MAY-2024-9

Page No.: 38-41

10. The Impact of Feature Selection on Learning Accuracy in Liver Disease and Disorder Prediction

Authors K Jyoshna

Digital Identification Number: IMJH-SVU-MAY-2024-10

Page No.: 42-47

11. Utilizing Artificial Intelligence Techniques for Predicting Cases of Coronary Disease: An Investigative Approach

Authors Lakka Jahnavi

Digital Identification Number: IMJH-SVU-MAY-2024-11

Page No.: 48-51

12. Clinical Integration of Positron Emission Tomography (PET) and Magnetic Resonance Imaging (MRI) for Enhanced Medical Image Fusion

Authors Lalam Naga Sai Rohit

Digital Identification Number: IMJH-SVU-MAY-2024-12

Page No.: 52-58

13. Utilizing Machine Learning Classification for Heart Disease Identification in E-Healthcare: A Comprehensive Approach

Authors Palegari Saraswathamma

Digital Identification Number: IMJH-SVU-MAY-2024-13

Page No.: 59-63

14. Enhanced Prediction of Brain Tumor Growth through Advanced Machine Learning Techniques

Authors Patan Shabana

Digital Identification Number: IMJH-SVU-MAY-2024-14

Page No.: 64-66

15. Enhancing Alzheimer's Disease Detection Through Advanced Image Processing Techniques

Authors Pattasani Chandrika

Digital Identification Number: IMJH-SVU-MAY-2024-15

Page No.: 67-71

16. Predicting Low Birth Weight (LBW) Cases in Early Pregnancy using Machine Learning Approaches Top of Form

Authors Rallapalle Kavitha

Digital Identification Number: IMJH-SVU-MAY-2024-16

Page No.: 72-76

17. A Comprehensive Analysis of Machine Learning Algorithms for Predicting Diabetes Mellitus Using the Pima Indians Diabetes Database

Authors M D Chandini

Digital Identification Number: IMJH-SVU-MAY-2024-17

Page No.: 77-80

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