ICMHI 2019

Welcome to ICMHI 2019

We are pleased to announce that the third International Conference on Medical and Health Informatics 2019 (ICMHI 2019) will be held in Xiamen, China during May 17-19, 2019. The ICMHI 2019 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 provides 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 2019 facilitates interdisciplinary collaboration and exchange among technologists internationally.

Publication

Accepted papers of ICMHI 2019 will be published in International Conference Proceedings Series by ACM, which will be archived in the ACM Digital Library, and indexed by Ei Compendex and submitted to be reviewed by Scopus and 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

Applications in Electronic Health Records
Biomedical Data mining
Biomedical Engineering
Business Intelligence
Cloud Computing and Big Data for Healthcare
Collaboration Technologies for Healthcare
Computational Intelligence Methodologies
Computer Games for Healthcare
Health Information System
Disease Profiling and Personalized Treatment
E-commerce in Health Informatics
Epidemiological Modeling
Health informatics education
Health Risk Evaluation & Modeling
Hospital Management
Information Security Technology
Intelligent Ward
Machine Learning