Digital Health in Focus of Predictive, Preventive and Personalised Medicine PDF Download

Author: Lotfi Chaari
Publisher: Springer Nature
ISBN: 3030498158
Category : Medical
Languages : en
Pages : 164

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Book Description
The edition will cover proceedings of the second International conference on digital health Technologies (ICDHT 2019). The conference will address the topic of P4 medicine from the information technology point of view, and will be focused on the following topics: - Artificial Intelligence for health • Knowledge extraction • Decision-aid systems • Data analysis and risk prediction • Machine learning, deep learning - Health data processing • Data preprocessing, cleaning, management and mining • Computer-aided detection • Big data analysis, prediction and prevention • Cognitive algorithms for healthcare handling dynamic context management • Augmented reality, Motion detection and activity recognition - Devices, infrastructure and communication • Wearable & connected devices • Communication infrastructures, architectures and standards Blockchain for e-Health • Computing/storage infrastructures for e-Health • IoT devices & architectures for Smart Healthcare - Health information systems • Telemedicine, Teleservices • Computing/storage infrastructures for e-Health • Clinical Data Visualisation Standards - Security and privacy for e-health • Health data Analytics for Security and Privacy • E-health Software and Hardware Security • Embedded Security for e-health - Applications in P4 medicine

Author: Lotfi Chaari
Publisher: Springer
ISBN: 3030118002
Category : Medical
Languages : en
Pages : 88

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Book Description
This collection, entitled Digital Health for Predictive, Preventive, Personalized and Participatory Medicine contains the proceedings of the first International conference on digital healthtechnologies (ICDHT 2018). Ten recent contributions in the fields of Artificial Intelligence (AI) and machine learning, Internet of Things (IoT) and data analysis, all applied to digital health. This collection enables researchers to learn about recent advances in the above mentioned fields. It brings a technological viewpoint of P4 medicine. Readers will discover how advanced Information Technology (IT) tools can be used for healthcare. For instance, the use of connected objects to monitor physiological parameters is discussed. Moreover, even if compressed sensing is nowadays a common acquisition technique, its use for IoT is presented in this collection through one of the pioneer works in the field. In addition, the use of AI for epileptic seizure detection is also discussed as being one of the major concerns of predictive medicine both in industrialized and low-income countries. This work is edited by Prof. Lotfi Chaari, professor at the University of Sfax, and previously at the University of Toulouse. This work comes after more than ten years of expertise in the biomedical signal and image processing field.

Author:
Publisher:
ISBN: 9783030118013
Category : Medical informatics
Languages : en
Pages : 99

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Book Description
This collection, entitled #x1B;(S0#x1B;(B Digital Health for Predictive, Preventive, Personalized and Participatory Medicine#x1B;(S1#x1B;(B contains the proceedings of the first International conference on digital health technologies (ICDHT 2018). Ten recent contributions in the fields of Artificial Intelligence (AI) and machine learning, Internet of Things (IoT) and data analysis, all applied to digital health. This collection enables researchers to learn about recent advances in the above mentioned fields. It brings a technological viewpoint of P4 medicine. Readers will discover how advanced Information Technology (IT) tools can be used for healthcare. For instance, the use of connected objects to monitor physiological parameters is discussed. Moreover, even if compressed sensing is nowadays a common acquisition technique, its use for IoT is presented in this collection through one of the pioneer works in the field. In addition, the use of AI for epileptic seizure detection is also discussed as being one of the major concerns of predictive medicine both in industrialized and low-income countries. This work is edited by Prof. Lotfi Chaari, professor at the University of Sfax, and previously at the University of Toulouse. This work comes after more than ten years of expertise in the biomedical signal and image processing field.

Author: Halina Podbielska
Publisher: Springer Nature
ISBN: 3031348842
Category : Medical
Languages : en
Pages : 352

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Book Description
This volume presents advanced bio/medical sciences with a particular value for translating research achievements into daily medical practice in the framework of Predictive, Preventive and Personalised Medicine (3PM/PPPM). First two decades of the 21st century are characterised by epidemics of non-communicable diseases such as many hundreds of millions of patients diagnosed with cardiovascular diseases and the type 2 diabetes mellitus, breast, lung, liver and prostate malignancies, neurological, sleep, mood and eye disorders, amongst others. Consequent socio-economic burden is tremendous. Unprecedented decrease in age of maladaptive individuals has been reported. The absolute majority of expanding non-communicable disorders carry a chronic character, over a couple of years progressing from reversible suboptimal health conditions to irreversible severe pathologies and cascading collateral complications. The paradigm change from reactive to predictive preventive and personalised medicine is essential to promote population health by application of individualised patient profiling, multi-parametric analysis leading to cost-effective targeted prevention. To this end, inadequate data for risk assessment on speed and urgency of COVID-19, combined with increased globalization of human society, led to the rapid spread of COVID-19. Despite an abundance of digital methods that could be used in slowing or stopping this virus and future pandemics, the world remains unprepared, and lessons have not been learned from previous cases of pandemics. The book presents PPPM strategies which might be of great clinical utility for future pandemics. In a long-term way, a significantly improved healthcare economy is one of the clear benefits of the proposed paradigm shift; a tight collaboration between all stakeholders including scientific community, healthcare providers, patient organisations, policy-makers and educators is analysed for the smooth implementation of the 3PM concepts. Further issues linked to big data management and medical ethics have to be carefully treated in the context of application of artificial intelligence in medicine.

Author: Emmanuel Fombu
Publisher: Business Expert Press
ISBN: 1951527054
Category : Business & Economics
Languages : en
Pages : 237

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Book Description
Predictive Medicine makes artificial intelligence more accessible for healthcare practitioners without shying away from complex topics and controversial subject matter. Artificial intelligence, machine learning, natural language processing, robotics, big data and other new technologies are ready to revolutionize the way we look at healthcare. But if we want them to achieve their full potential, we’ll need leaders who understand these new tools and who have long-term strategies in place to take advantage of them. This book will help you to become one of those leaders. Predictive Medicine makes artificial intelligence more accessible for healthcare practitioners without shying away from complex topics and controversial subject matter. It’s a call-to-action for a new generation of health leaders and a roadmap to help them usher in a brighter future.

Author: L.B. Pape-Haugaard
Publisher: IOS Press
ISBN: 1643680838
Category : Medical
Languages : en
Pages : 1498

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Book Description
Digital health and medical informatics have grown in importance in recent years, and have now become central to the provision of effective healthcare around the world. This book presents the proceedings of the 30th Medical Informatics Europe conference (MIE). This edition of the conference, hosted by the European Federation for Medical Informatics (EFMI) since the 1970s, was due to be held in Geneva, Switzerland in April 2020, but as a result of measures to prevent the spread of the Covid19 pandemic, the conference itself had to be cancelled. Nevertheless, because this collection of papers offers a wealth of knowledge and experience across the full spectrum of digital health and medicine, it was decided to publish the submissions accepted in the review process and confirmed by the Scientific Program Committee for publication, and these are published here as planned. The 232 papers are themed under 6 section headings: biomedical data, tools and methods; supporting care delivery; health and prevention; precision medicine and public health; human factors and citizen centered digital health; and ethics, legal and societal aspects. A 7th section deals with the Swiss personalized health network, and section 8 includes the 125 posters accepted for the conference. Offering an overview of current trends and developments in digital health and medical informatics, the book provides a valuable information resource for researchers and health practitioners alike.

Author: Leonard Berliner
Publisher: Springer
ISBN: 3319121669
Category : Medical
Languages : en
Pages : 130

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Book Description
This book explores how PPPM, clinical practice, and basic research could be best served by information technology (IT). A use-case was developed for hepatocellular carcinoma (HCC). The subject was approached with four interrelated tasks: (1) review of clinical practices relating to HCC; (2) propose an IT system relating to HCC, including clinical decision support and research needs; (3) determine how a clinical liver cancer center can contribute; and, (4) examine the enhancements and impact that the first three tasks will have on the management of HCC. An IT System for Personalized Medicine (ITS-PM) for HCC will provide the means to identify and determine the relative value of the wide number of variables, including clinical assessment of the patient -- functional status, liver function, degree of cirrhosis, and comorbidities; tumor biology, at a molecular, genetic and anatomic level; tumor burden and individual patient response; medical and operative treatments and their outcomes.

Author: Stefania Boccia
Publisher: Springer
ISBN: 9783030523985
Category : Medical
Languages : en
Pages : 120

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Book Description
Practitioners are increasingly adopting a personalised medicine approach to individually tailored patient care, especially disease diagnosis and treatment with the use of biomarkers. However, development and implementation of such approaches to chronic disease prevention need further investigation and concerted efforts for proper use in healthcare systems. This book provides high-quality, multidisciplinary knowledge from research in personalised medicine, specifically personalised prevention of chronic disease. It addresses different perspectives of prevention in the field, and is the outcome of a four-year work of the Personalized prevention of Chronic Disease (PRECeDI) Consortium, a multi-disciplinary and multi-professional team of experts. The Consortium jointly agreed to document and address the five aspects or domains of personalised medicine and prevention as individual chapters: Identification of biomarkers for the prevention of chronic disease Evaluation of predictive genomic applications Ethico-legal and policy issues surrounding personalised medicine Roles and responsibilities of stakeholders in informing healthy individuals on their genome: a sociotechnical analysis Identification of organisational models for the provision of predictive genomic applications The book focuses on the Consortium's recommendations that are derived from each of these domains based on up-to-date evidence and research that the authors write, follow, and systematically organise and report. Personalisation of health care is, eventually, a driver of innovation in research and healthcare systems. With this SpringerBrief on Personalised Health Care: Fostering Precision Medicine Advancements for Gaining Population Health Impact, the Consortium provides further evidence of the clinical validity and utility of personalised medicine with special emphasis on the prevention of chronic diseases. The book is a useful resource for policy makers, industry and healthcare professionals, scientists, technology-sector professionals, investors, citizens, and private companies that need proper advice to realise the potential of personalised medicine.

Author: Gabriella Pravettoni
Publisher: Springer Nature
ISBN: 3030279944
Category : Psychology
Languages : en
Pages : 191

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Book Description
This open access volume focuses on the development of a P5 eHealth, or better, a methodological resource for developing the health technologies of the future, based on patients’ personal characteristics and needs as the fundamental guidelines for design. It provides practical guidelines and evidence based examples on how to design, implement, use and elevate new technologies for healthcare to support the management of incurable, chronic conditions. The volume further discusses the criticalities of eHealth, why it is difficult to employ eHealth from an organizational point of view or why patients do not always accept the technology, and how eHealth interventions can be improved in the future. By dealing with the state-of-the-art in eHealth technologies, this volume is of great interest to researchers in the field of physical and mental healthcare, psychologists, stakeholders and policymakers as well as technology developers working in the healthcare sector.

Author: Wei Wang
Publisher: Springer
ISBN: 9783031468902
Category : Medical
Languages : en
Pages : 0

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Book Description
This volume demonstrates advanced strategies in biomedical sciences and healthcare focused on suboptimal health conditions in the framework of Predictive, Preventive and Personalised Medicine (3PM/PPPM). Potential benefits in healthcare systems and for society at large include but are not restricted to an improved life-quality of major populations and socio-economical groups, advanced professionalism of healthcare-givers and sustainable healthcare economy. ​Reactive medical services applied to healthcare resulted in epidemics of non-communicable diseases such as diabetes mellitus type 2 with currently about a half of billion patients registered worldwide. Far-reaching consequences are cascading co-morbidities with poor prognosis such as severe cardiovascular and neurological disorders, eye pathologies (e.g., proliferative diabetic retinopathy as the world leading cause of blindness) and several types of cancer, amongst others. Corresponding socio-economic burden is tremendous. The paradigm changes from reactive medicine to PPPM propagated by EPMA is, therefore, pivotal for advanced healthcare to improve the economy of medical services, life quality of populations and individual outcomes. To this end, individuals with suboptimal health condition comprise the target group for predictive diagnostics and cost-effective personalised treatments to protect affected individuals and sub-populations against health-to-disease transition, a window of opportunity for PPPM. This goal is of highest priority benefiting millions of people and societies at large.