ICMHI 2023

Welcome to ICMHI 2023 | Flyer Downloading

We are pleased to announce that 2023 7th International Conference on Medical and Health Informatics (ICMHI 2023) will be held in Kyoto, Japan during May 12-14, 2023. The ICMHI 2023 aims to bring together outstanding scholars, researchers, and students to exchange and share their experiences and research results about all aspects of Medical and Health Sciences. We also provide the keynote address and several plenary invited speeches for discuss the most recent innovations, trends, and concerns, practical challenges encountered and the various solutions in the fields of medical and health informatics. We cordially welcome all experts of industry, academia and government from all over the world to contribute to and help shape this conference through submissions of their research abstracts, papers and posters. Eventually, the ICMHI 2023 facilitates interdisciplinary collaboration and exchange among technologists internationally.

Note: For those who cannot attend the physical conference due to the pandemic or travel restriction, online registration is acceptable.

Publication

Accepted papers of ICMHI 2023 will be published in International Conference Proceedings Series by ACM (ISBN: 979-8-4007-0071-2),  which will be sent to Ei Compendex and Scopus for indexing, and submitted to be reviewed by Thomson Reuters Conference Proceedings Citation Index (ISI Web of Science).


Publication Ethics - Penalty against Plagiarism
We firmly believe that ethical conduct is the most essential virtual of any academic. Hence any act of plagiarism is a totally unacceptable academic misconduct and cannot be tolerated.

Call For Papers

·Biomedical Data mining
·Biomedical Engineering
·Cloud Computing &Applications
·Big Data for Healthcare Practices
·Collaboration Technologies for Healthcare
·Computational Intelligence Methodologies
·Medical Robotics & Information Security
·Survival Analysis &Health Hazard
·Personalized Treatment
·E-commerce in Health Informatics
·Epidemiological Modeling
·Health Informatics Education
·Medical Image Processing
·Medical Insurance Fraud Detection
·Statistics & Quality of Medical Data