Journal of Medical Informatics and Decision Making

Journal of Medical Informatics and Decision Making

Journal of Medical Informatics and Decision Making

Open Access & Peer-Reviewed

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Indexing
 

Journal of Medical Informatics and Decision Making is dedicated to advancing the understanding and application of informatics and decision-making processes in healthcare. Authors may find comprehensive information on the indexing and abstracting services that have recognized the quality and relevance of our content, ensuring that our research reaches a global audience of scholars, practitioners, and policymakers. JMID is committed to maintaining high standards of indexing to enhance the visibility and impact of the valuable contributions within our journal.

  • ISSN: Our research is officially registered with the International Standard Serial Number (ISSN), indicating its global academic legitimacy.
  • ResearchBib: Our publication is listed in ResearchBib, ensuring widespread accessibility and recognition within the global academic community.
  • IP Indexing: Listed in IP Indexing, ensuring the article’s wide dissemination and accessibility across multiple research platforms.
     

Articles deposited in Renowned Repositories and Major Indexing Platforms 

  • Academia.edu
  • Colab
  • Research Gate
  • Semantic Scholar
  • Deepdyve
  • Bern Open Repository and Information System


1. Measuring Availability and Prices of Locally Produced and Imported Medicines in Sudan
2. The Birth of Endowiki, An Italian Online Platform for Continuous Medical Education In Endocrinology
3. The Knowledge and Perception of Hand Hygiene Among Health Care Workers in Clinical Settings in Khartoum State - Sudan
4. Knowledge, Attitudes and Practices of Prescribers towards Antimicrobial Stewardship at Hospitals in Khartoum State - Sudan
5. Six Fractal Codes of Biological Life Unifying ATOMS, WAVES and INFORMATION: Perspectives in Exobiology, Cancers Basic Research and Artificial Intelligence Biomimetism Decisions Making
6. A Comprehensive Research Study Literature Review of EPIC© in Terms of Enabling Healthcare Agility: A Report Card
7. Study of The ID3 and C4.5 Learning Algorithms
8. Closed Frequent Itemsets Mining Based on It-Tree
9. EPIC® and High Reliability in Healthcare: An Evidence Based Commentary
10. Analysis of Clinical Prognostic Variables for Triple Negative Breast Cancer Histological Grading and Lymph Node Metastasis

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