International Multispeciality
Journal of Health (Impact Factor: 6.58)
Journal of Health (Impact Factor: 6.58)
Acceptance Rate (By Year) |
|
Year |
Percentage |
2020 |
14.8% |
2019 |
12.1% |
2018 |
10.8% |
2017 |
13.5% |
2016 |
19.2% |
2015 |
14.4% |
Track Your Article Aim and Scope IMJ Health Importance IMJ Health Indexing Important Dates Guidelines to Authors Related forms Archives FAQ Journal Ethics & Policies Peer Review Policy Plagiarism Policy Research Areas Other Journal Polices
| Sr No. | Title | Page No | Download |
| 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 |
01-04 | |
| 2. | AI Models for Predicting Mammographic Mass Severity Authors: Bukke DevendranaikDigital Identification Number: IMJH-SVU-MAY-2024-2 |
05-09 | |
| 3. | AI Approaches for Imputing Missing Values in Mammogram Mass Data Authors: Chappidi SravanthiDigital Identification Number: IMJH-SVU-MAY-2024-3 |
10-14 | |
| 4. | Forecasting and Recognition of Coronary Illness Utilizing Clinical Data Mining Techniques Authors: G TejaswiniDigital Identification Number: IMJH-SVU-MAY-2024-4 |
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 SivaprasadDigital Identification Number: IMJH-SVU-MAY-2024-5 |
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 MallikarjunareddyDigital Identification Number: IMJH-SVU-MAY-2024-6 |
25-29 | |
| 7. | Developing An Accurate Model for Comprehensive Analysis Of Mammographic Masses In Clinical Settings Authors: Jalam LikhithaDigital Identification Number: IMJH-SVU-MAY-2024-7 |
30-33 | |
| 8. | Exploring a Supervised Learning Approach for Enhanced Clinical Diagnosis and Discovery Authors: Kallagunta BhavanapriyaDigital Identification Number: IMJH-SVU-MAY-2024-8 |
34-37 | |
| 9. | Implementing Artificial Intelligence Algorithms for Predicting Survival Rates in Breast Cancer Patients Authors: Kalluru MadhaviDigital Identification Number: IMJH-SVU-MAY-2024-9 |
38-41 | |
| 10. | The Impact of Feature Selection on Learning Accuracy in Liver Disease and Disorder Prediction Authors: K JyoshnaDigital Identification Number: IMJH-SVU-MAY-2024-10 |
42-47 | |
| 11. | Utilizing Artificial Intelligence Techniques for Predicting Cases of Coronary Disease: An Investigative Approach Authors: Lakka JahnaviDigital Identification Number: IMJH-SVU-MAY-2024-11 |
48-51 | |
| 12. | Clinical Integration of Positron Emission Tomography (PET) and Magnetic Resonance Imaging (MRI) for Enhanced Medical Image Fusion Authors: Lalam Naga Sai RohitDigital Identification Number: IMJH-SVU-MAY-2024-12 |
52-58 | |
| 13. | Utilizing Machine Learning Classification for Heart Disease Identification in E-Healthcare: A Comprehensive Approach Authors: Palegari SaraswathammaDigital Identification Number: IMJH-SVU-MAY-2024-13 |
59-63 | |
| 14. | Enhanced Prediction of Brain Tumor Growth through Advanced Machine Learning Techniques Authors: Patan ShabanaDigital Identification Number: IMJH-SVU-MAY-2024-14 |
64-66 | |
| 15. | Enhancing Alzheimer's Disease Detection Through Advanced Image Processing Techniques Authors: Pattasani ChandrikaDigital Identification Number: IMJH-SVU-MAY-2024-15 |
67-71 | |
| 16. | Predicting Low Birth Weight (LBW) Cases in Early Pregnancy using Machine Learning Approaches Top of Form Authors: Rallapalle KavithaDigital Identification Number: IMJH-SVU-MAY-2024-16 |
72-76 | |
| 17. | A Comprehensive Analysis of Machine Learning Algorithms for Predicting Diabetes Mellitus Using the Pima Indians Diabetes Database Authors: M D ChandiniDigital Identification Number: IMJH-SVU-MAY-2024-17 |
77-80 |
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