ICHAI 2022 : International Conference on Healthcare Analytics and Intelligence is the premier interdisciplinary platform for the presentation of new advances and research results in the fields of Healthcare Analytics and Intelligence. The conference will bring together leading academic scientists, researchers and scholars in the domain of interest from around the world. Topics of interest for submission include, but are not limited to:
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Healthcare analytics
Health data analyticsBig data analytics in healthcareInnovation and data science in healthcareAnalysis of research in healthcare data analyticsHealthcare analytics for quality and performance improvementInformation system and information technology in healthcare sectorsHealthcare analytics and data miningHealth data platformsEvidence-based medicineUsing electronic health records as a sourceLinguistic and text analysis for healthcareBayesian probability analysis in healthcare dataInternet of things for medical and healthcare applicationsNovel signal processing methods for wearable and implantable biosensorsBig-data analytics for healthcareMachine learning, scalable machine learning and deep learning algorithms for medical IoTNovel devices and circuits, and architectural support for healthcare-aware IoTCloud-enabled ehealth solutionsFog computing/edge clouds for healthcare cloud resource allocation and monitoringPrivacy preserving and security approaches for large scale analyticsCase studies of smart eHealth architecturesBig data for electronic health recordsUsers’ perspective of security, privacy and trust in big data analytics.Big data applications in context-sensitive targeted populationsBig data enabled user studies in decision making in healthcareMobile applications and infrastructure technologies in big data application.Evaluation of impact of big data application on modernized healthcareTheoretical constructs, models, architectures and conceptualizations for big data applicationLocation Based big data application for citizen, professionals and organizationsSocial, cultural, legislative and economical barriers in big data practiceBig data for cost minimization in healthcare deliveryBig data applications in healthcare by the government and its policiesBig data for chorionic patient management and disease outbreak management