Journal of Complexity in Health Sciences (CHS) ISSN (Print) 2538-7995, ISSN (Online) 2538-8002 is an international, peer-reviewed journal dedicated to the study of health-related phenomena through the lens of complex systems theory and modern analytical methodologies. The journal emphasizes system-oriented, data-driven, and computational approaches aimed at capturing the dynamic, nonlinear, and multilevel nature of health, disease, human performance, and rehabilitation.
The journal publishes both theoretical and applied research employing artificial intelligence and machine learning, advanced measurement and sensing technologies, biomedical engineering solutions, and integrative analytical frameworks. Its scope encompasses complexity-informed and integrative approaches across health sciences, exercise physiology, sports medicine and rehabilitation, biomedical engineering, health-related measurement, and scientifically grounded complementary and alternative medicine.
The journal is intended for an international audience of clinicians, engineers, data scientists, and interdisciplinary researchers seeking to advance both scientific understanding and practical applications.
By bringing together methods and perspectives from medicine, engineering, data science, physiology, and related disciplines, the Journal of Complexity in Health Sciences seeks to advance understanding, prediction, and intervention in health conceptualized as a complex, adaptive system.
Established in 2017 and published 2 times a year (semiannually). All volumes are available at https://doi.org/10.21595/chs
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All of Extrica's content is archived in Martynas Mazvydas National Library of Lithuania, which provides permanent archiving for electronic scholarly journals.
