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Research Journal of Medical Science

Explore key publication details, scope, and the latest published articles.

  • Abbreviated Key Title IRGS J Mul Res Stud
  • ISSN 3078-2473
  • Frequency Half-Yearly
  • Subject Test
  • Language English
  • Format Online
  • Starting Year 2026
  • Publisher RJMS Publisher
  • Origin India

Aim and Scope

IRGS Journal of Multidisciplinary Research and Studies (IRGSJMRS) is an international, peer-reviewed, open-access journal published by IRGS Publisher. The journal provides a global platform for scholars to publish their original research, reviews, and case studies across multiple disciplines.

Acceptable Disciplines / Departments:

🔹 Life Sciences & Biological Sciences

Agricultural Sciences, Biology, Biochemistry, Biotechnology, Bioinformatics, Astrobiology, Biodiversity and Conservation, Developmental Biology, Ecology, Environmental Sciences, Evolutionary Biology, Genetics, Histology, Immunology, Limnology, Marine Sciences, Microbiology, Molecular Biology, Neuroscience, Paleontology, Physiology, Structural Biology, Systems Biology, Toxicology, Virology, Zoology, Entomology, Malacology.

 

🔹 Medical & Health Sciences

Health Sciences, Public Health, Preventive Medicine, Nursing, Pharmacy, Pharmacology, Pathology, Radiology, Anesthesiology, Dermatology, Emergency Medicine, Family Medicine, General Practice, Hematology, Infectious Diseases, Kinesiology, Laboratory Medicine, Medical Physics, Dentistry, Nutrition and Metabolism, Oncology, Ophthalmology, Otolaryngology, Psychiatry, Surgery, Urology, Veterinary Medicine, Veterinary Sciences, Siddha & Ayurveda.

 

🔹 Physical Sciences & Mathematical Sciences

Physics, Chemistry, Mathematical Sciences, Statistical Sciences, Applied Mathematics, Astronomy, Earth and Planetary Sciences, Quantum Biology, Theoretical and Physical Sciences.

 

🔹 Engineering & Technology

Civil Engineering, Mechanical Engineering, Electrical Engineering, Electronics Engineering, Computer Science, Information Technology, Artificial Intelligence, Data Science, Software Engineering, Robotics, IoT, Engineering and Technology, Chemical Engineering, Environmental Engineering, Materials Science, Renewable Energy and Computational Sciences.

 

🔹 Social Sciences & Humanities

Arts and Humanities, English Literature, Hindi Literature, Sanskrit Literature, History, Philosophy, Linguistics, Languages, Political Science, Sociology, Psychology, Geography, Religion Studies, Cultural Studies, Law, Education and  Physical Education.

 

🔹 Business, Management & Economics

Business Administration, Business Management, Economics, Finance, Accounting, Banking, Marketing, Human Resource Management, Entrepreneurship, Tourism Management, Hotel Management, E-Commerce, Business Analytics, Strategic Management, Operations Management, Insurance, Income Tax, Business Law and International Business.

 

🔹 Interdisciplinary & Emerging Areas

Decision Science, Earth and Planetary Sciences, Sustainable Development, Climate Change Studies, Urban Studies, Public Policy, Innovation Studies, Development Studies, Disaster Management, Behavioral Sciences, Management Information Systems, Digital Transformation, Smart Technologies and other interdisciplinary fields.

Recent Articles

Review Article

Diabetes Prediction Using Logistic Regression Machine Learning Algorithm

Research Journal of Medical Science

Authors Prof. Dr. Kursat Sahin Yildirimer1* , Ocak Korhan Özduru2

Diabetes is a serious worldwide health issue that is becoming more of a problem in Nepal because of its high risk of death and other complications. This study develops an early prediction model using logistic regression, a widely applied machine learning class...

DOI https://doi.org/10.58924/rjhss.v4.iss1.p1 Pages 1-6
Read article Download PDF
Review Article

Diabetes Prediction Using Logistic Regression Machine Learning Algorithm

Research Journal of Medical Science

Authors Prof. Dr. Kursat Sahin Yildirimer1* , Ocak Korhan Özduru2

Diabetes is a serious worldwide health issue that is becoming more of a problem in Nepal because of its high risk of death and other complications. This study develops an early prediction model using logistic regression, a widely applied machine learning class...

DOI https://doi.org/10.58924/rjhss.v4.iss1.p1 Pages 1-6
Read article Download PDF
Review Article

Diabetes Prediction Using Logistic Regression Machine Learning Algorithm

Research Journal of Medical Science

Authors Prof. Dr. Kursat Sahin Yildirimer1* , Ocak Korhan Özduru2

Diabetes is a serious worldwide health issue that is becoming more of a problem in Nepal because of its high risk of death and other complications. This study develops an early prediction model using logistic regression, a widely applied machine learning class...

DOI https://doi.org/10.58924/rjhss.v4.iss1.p1 Pages 1-6
Read article Download PDF
Review Article

Diabetes Prediction Using Logistic Regression Machine Learning Algorithm

Research Journal of Medical Science

Authors Prof. Dr. Kursat Sahin Yildirimer1* , Ocak Korhan Özduru2

Diabetes is a serious worldwide health issue that is becoming more of a problem in Nepal because of its high risk of death and other complications. This study develops an early prediction model using logistic regression, a widely applied machine learning class...

DOI https://doi.org/10.58924/rjhss.v4.iss1.p1 Pages 1-6
Read article Download PDF
Review Article

Diabetes Prediction Using Logistic Regression Machine Learning Algorithm

Research Journal of Medical Science

Authors Prof. Dr. Kursat Sahin Yildirimer1* , Ocak Korhan Özduru2

Diabetes is a serious worldwide health issue that is becoming more of a problem in Nepal because of its high risk of death and other complications. This study develops an early prediction model using logistic regression, a widely applied machine learning class...

DOI https://doi.org/10.58924/rjhss.v4.iss1.p1 Pages 1-6
Read article Download PDF

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