International Journal of Health Sciences

Aims & Scope

International Journal of Health Sciences is a forum for scholarly and state-of-the-art research into all aspects of health sciences education.

It will publish empirical studies as well as discussions of theoretical issues and practical implications.

The primary focus of the Journal is linking theory to practice, thus priority will be given to papers that have a sound theoretical basis and strong methodology.

The Journal will accept articles on topics such as admissions, problem-based and self-directed learning, faculty development, achievement testing, motivation, curriculum development, curricular comparisons, program evaluation, expertise development, clinical reasoning, continuing education, community-based education, and communication skills (the list is intended as illustrative, not exhaustive).

All rigorous methodologies, both quantitative and qualitative, are encouraged.

It is aimed at all those committed the primary field to the improvement of health professions education: researchers and educators in the main field of medicine, and nursing.

However, it is not limited to other field studies of pharmacology, toxicology, pharmaceutical science, veterinary science occupational therapy, physiotherapy, nutrition, and related disciplines will be considered to be reviewed.

Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar

Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Nursing and Social Sciences, designed to support cutting-edge academic discovery.

Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• IoT-TPMS

  Citation: 160

  Authors: J, Javid Ahmad, Nirmal, Sidharth Srikant, Pooja

• deep DNA machine learning model to classify the tumor genome of patients with tumor sequencing

  Citation: 156

  Authors: J, Nirmal, Sidharth Srikant, Poorvi, Ankita

• Soft optimization techniques for automatic liver cancer detection in abdominal liver images

  Citation: 38

  Authors: B., M. Ramya, U. Pavan, Manoj Kollukkad, Dillip Narayan, Pundru Chandra Shaker

• Epileptic seizure detection using deep learning through min max scaler normalization

  Citation: 38

  Authors: B, K

• Health and treatment of diabetes mellitus

  Citation: 37

  Authors: I Wayan, María, Tihnov

• COVID-19 pandemic

  Citation: 28

  Authors: I Wayan, María, Tihnov

• Incorporating sentimental analysis into development of a hybrid classification model

  Citation: 27

  Authors: Chamandeep, Mawahib Sharafeldin Adam, Samar Mansoor, Wafaa Abushmlah, Mohammed Hassan Osman, Najla Mohammed, Nedaa Abdulaziz, Nedaa Abdulaziz, Atheer Omar S

• CNN based deep learning methods for precise analysis of cardiac arrhythmias

  Citation: 23

  Authors: S., A., D. T., R. Manjula, Dillip Narayan, Pundru Chandra Shaker

• Detection and classification of skin diseases with ensembles of deep learning networks in medical imaging

  Citation: 21

  Authors: A., S.

• Classification of EEG signals using machine learning and deep learning techniques

  Citation: 21

  Authors: Alias Surendhar S, S., N. J, T, Dillip Narayan, Pundru Chandra Shaker