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Informatics in Medicine

Jovan Pehcevski

405 pages
Arcler Education Inc
In this book - we present different topics from medical informatics, including bioinformatics methods, personalized medicine, IT solutions in medicine, and e-health and m-health. Section 1 focuses on bioinformatics methods, describing a hybrid federated cloud platform to efficiently execute bioinformatics workflows; hierarchical biological pathway data integration and mining; ensemble clustering for biological datasets; and molecular modelling to study interactions between molecules with biological activity. Section 2 focuses on personalized medicine, describing translation in data mining to advance personalized medicine for health equity; PPPM (predictive, preventive and personalized medicine) as a new model of the national and international healthcare services; myocarditis - personalized medicine by expanded endomyocardial biopsy diagnostics; optimal control approach to structured treatment interruptions for HIV patients: a personalized medicine perspective. Section 3 focuses on IT solutions in medicine, describing wireless TDMA-based body area network platform gathering multi-biosignals synchronized with patient’s heartbeat; smart care beds for elderly patients with impaired mobility; novel emergency healthcare system for elderly community in outdoor environment; eSkin - study on the smartphone application for early detection of malignant melanoma; compact microstrip lowpass filter with low insertion loss for UWB medical applications. Section 4 focuses on e-health and m-health, describing e-health and telemedicine: current state and future steps; Mobi-healthcare system: body sensor network based m-health system for healthcare application; blended e-health in cognitive behavioral therapy: usage intensity, attitude and therapeutic alliance in clinical practice; performance evaluation of healthcare monitoring system over heterogeneous wireless networks; and impact of using m-health app on improving undergraduate students’ sports and health habits and their attitudes toward its use.
Author Bio
Jovan obtained his PhD in Computer Science from RMIT University in Melbourne, Australia in 2007. His research interests include big data, business intelligence and predictive analytics, data and information science, information retrieval, XML, web services and service-oriented architectures, and relational and NoSQL database systems. He has published over 30 journal and conference papers and he also serves as a journal and conference reviewer. He is currently working as a Dean and Associate Professor at European University in Skopje, Macedonia.