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Bibliographies thématiques / Personalised healthcare / Livres

Pour voir les autres types de publications sur ce sujet consultez le lien suivant : Personalised healthcare.

Livres sur le sujet « Personalised healthcare »

Auteur : Grafiati

Publié le 9 mars 2023

Mis à jour le 10 mars 2023

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1

European Commission. Information Society DG. A healthy approach : Technology for personalised, preventative healthcare. Luxembourg : Publications Office of the European Union, 2010.

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2

Hays, Priya. Advancing Healthcare Through Personalized Medicine. Cham : Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-80100-7.

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Bodiroga-Vukobrat, Nada, Daniel Rukavina, Krešimir Pavelić et Gerald G. Sander, dir. Personalized Medicine in Healthcare Systems. Cham : Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-16465-2.

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Krishna, P. Venkata, Sasikumar Gurumoorthy et Mohammad S. Obaidat. Internet of Things and Personalized Healthcare Systems. Singapore : Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-0866-6.

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Quality assurance in healthcare service delivery, nursing, and personalized medicine : Technologies and processes. Hershey, PA : Medical Information Science Reference, 2012.

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6

(2007), Healthgrid 2007. From genes to personalized healthcare : Grid solutions for the life sciences : proceedings of HealthGrid 2007. Amsterdam : IOS Press, 2007.

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(2007), Healthgrid 2007. From genes to personalized healthcare : Grid solutions for the life sciences : proceedings of HealthGrid 2007. Amsterdam : IOS Press, 2007.

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8

Jain, Vishal, Jyotir Moy Chatterjee, Salahddine Krit, Omer Deperlioglu et Hadi Hedayati. Deep Learning for Personalised Healthcare Services. de Gruyter GmbH, Walter, 2021.

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9

Jain, Vishal, Jyotir Moy Chatterjee, Salahddine Krit, Omer Deperlioglu et Hadi Hedayati. Deep Learning for Personalised Healthcare Services. de Gruyter GmbH, Walter, 2021.

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10

Jain, Vishal, Jyotir Moy Chatterjee, Salahddine Krit, Omer Deperlioglu et Hadi Hedayati. Deep Learning for Personalised Healthcare Services. de Gruyter GmbH, Walter, 2021.

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11

Healthcare Overview Advances in Predictive Preventive and Personalised Medicine. Springer, 2012.

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12

Mansnérus, Juli, Raimo Lahti et Amanda Blick, dir. Personalized medicine : Legal and ethical challenges. University of Helsinki, Faculty of Law, 2020. http://dx.doi.org/10.31885/9789515169419.

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This anthology deals with the legal and ethical challenges regarding personalized (precision) medicine and healthcare. It can also be regarded as the final report of a research project on the legal and ethical aspects of personalized medicine. It complements the reported results of the consortium ‘Personalised medicine to predict and prevent Type 1 Diabetes (P4 Diabetes)’ which were briefly presented in the booklet entitled ‘Better, Smarter, Now: Personalised Health – From Genes to Society (pHealth)’, Academy of Finland, Helsinki 2019. The articles of this anthology are not limited to the aspects of predicting and preventing Type 1 Diabetes only, as the name of the consortium would suggest. The list of participating researchers indicates that many-sided medical expertise was represented in the consortium and, in addition, computational data analysis as well as legal and ethical issues were covered by the participating sites of research. A comprehensive examination of the issues of personalized medicine requires multidisciplinary approaches. In this anthology, the legally and ethically oriented mainstream of writings has been complemented with an article of a computer scientist in order to recognize the possibilities and challenges of machine learning when interpreting the patient’s need for help. It is our hope that this anthology would be useful both for the academic community and for the decision-makers in the fields of healthcare and (personalized) medicine. It is also advisable that the anthology would give an impetus for further research activity in these new spheres of medical law and biolaw.

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13

Hays, Priya. Advancing Healthcare Through Personalized Medicine. CRC Press, 2017. http://dx.doi.org/10.1201/9781315381268.

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14

Hays, Priya. Advancing Healthcare Through Personalized Medicine. Taylor & Francis Group, 2017.

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15

Hays, Priya. Advancing Healthcare Through Personalized Medicine. Taylor & Francis Group, 2018.

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16

Hays, Priya. Advancing Healthcare Through Personalized Medicine. Taylor & Francis Group, 2017.

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17

Hays, Priya. Advancing Healthcare Through Personalized Medicine. Taylor & Francis Group, 2017.

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18

Hays, Priya. Advancing Healthcare Through Personalized Medicine. Taylor & Francis Group, 2017.

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19

Advancing Healthcare Through Personalized Medicine. Taylor & Francis Group, 2017.

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20

Hays, Priya. Advancing Healthcare Through Personalized Medicine. Springer International Publishing AG, 2021.

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21

Geiger, Susi, dir. Healthcare Activism. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780198865223.001.0001.

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What is the role of civil society and activists in defining and defending the collective good in healthcare, especially in cases where that good seems to be heavily shaped by market dynamics? Presenting conceptual and empirical studies from a variety of healthcare contexts and theoretical perspectives, this book volume addresses this vital question by drawing together multi-disciplinary scholarship from science and technology studies, sociology, organization studies, marketing, and public health. The volume maps three major changes in healthcare over the past decades: the advent of personalized medicine, the marketization of public care systems, and the digitalization of healthcare services. It illustrates the extent to which these are interlinked to produce a seemingly unstoppable move toward individualization in healthcare, highlights the tensions and challenges arising from these interlinkages, and traces how activists react to these tensions to argue for and defend the common good. The volume thus sketches a multi-faceted picture of healthcare activism in the twenty-first century as civil society responds to these dynamics at the crossroads of markets and morals, economic and social justifications, individual and collective, and digital and non-digital worlds. Importantly, the volume also starts to sketch potential solutions for heightening patient voices and broadening participation in healthcare markets in a post-Covid-19 world.

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22

van, José. Healthcare and Health Research. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190889760.003.0006.

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This chapter focuses on the platformization of the health sector. A burgeoning field of online health platforms has emerged, ranging from personal fitness apps to medical platforms that are used by patients, doctors, and researchers. A global industry of health-related platforms is being stacked onto, and interwoven with, the infrastructural core of the ecosystem; developing sectoral health platforms is a potentially lucrative and data-rich area that major operators are keen to invest in. Examining health platforms, the chapter unravels a peculiar double-edged logic in how their benefit is argued: they offer personalized data-driven services to their customers, while simultaneously serving an overarching public interest in medical research, the outcomes of which ostensibly benefit everyone. Using the platform mechanisms as an analytical prism, the chapter scrutinizes three single platforms, which are illustrative of the health sector: 23andMe, PatientsLikeMe, and Parkinson mPower.

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23

Jain, Vishal, Jyotir Moy Chatterjee, Hadi Hedayati, Salahddine Krit et Omer Deperlioglu, dir. Deep Learning for Personalized Healthcare Services. De Gruyter, 2021. http://dx.doi.org/10.1515/9783110708127.

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24

Trent, R. J. Molecular Medicine : Genomics to Personalized Healthcare. Elsevier Science & Technology Books, 2017.

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25

Molecular Medicine : Genomics to Personalized Healthcare. Elsevier Science & Technology Books, 2012.

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26

Trent, R. Molecular Medicine : Genomics to Personalized Healthcare. Elsevier Science & Technology Books, 2012.

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27

Gao, Wei, Yujun Song et Haixia Zhang. Integrated Smart Micro-Systems Towards Personalized Healthcare. Wiley & Sons, Limited, John, 2022.

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28

Metabolic Phenotyping in Personalized and Public Healthcare. Elsevier, 2016. http://dx.doi.org/10.1016/c2013-0-13640-9.

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29

Krishna, P. Venkata, Mohammad S. Obaidat et Sasikumar Gurumoorthy. Internet of Things and Personalized Healthcare Systems. Springer, 2018.

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30

Gao, Wei, Yujun Song et Haixia Zhang. Integrated Smart Micro-Systems Towards Personalized Healthcare. Wiley & Sons, Incorporated, John, 2022.

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31

Darzi, Ara, John C. Lindon, Jeremy Nicholson et Elaine Holmes. Metabolic Phenotyping in Personalized and Public Healthcare. Elsevier Science & Technology Books, 2016.

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32

Darzi, Ara, John C. Lindon, Jeremy Nicholson et Elaine Holmes. Metabolic Phenotyping in Personalized and Public Healthcare. Elsevier Science & Technology Books, 2016.

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33

Krishna, P. Venkata, Mohammad S. Obaidat et Sasikumar Gurumoorthy. Internet of Things and Personalized Healthcare Systems. Springer, 2019.

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34

Gao, Wei, Yujun Song et Haixia Zhang. Integrated Smart Micro-Systems Towards Personalized Healthcare. Wiley & Sons, Incorporated, John, 2022.

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35

Gao, Wei, Yujun Song et Haixia Zhang. Integrated Smart Micro-Systems Towards Personalized Healthcare. Wiley & Sons, Incorporated, John, 2022.

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36

Artiﬁcial Intelligence for Personalized Preventive Adolescent Healthcare : Artificial Intelligence in Healthcare. Independently Published, 2021.

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37

Edge-Of-Things in Personalized Healthcare Support Systems. Elsevier Science & Technology, 2022.

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38

Edge-Of-things in Personalized Healthcare Support Systems. Elsevier, 2022. http://dx.doi.org/10.1016/c2020-0-03931-9.

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39

Gangadharan, G. R., Michael Sheng, Rajeswari Sridhar et Rajan Shankaran. Edge-Of-Things in Personalized Healthcare Support Systems. Elsevier Science & Technology Books, 2022.

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40

Garg, Harish, et Jyotir Moy Chatterjee. Deep Learning in Personalized Healthcare and Decision Support. Elsevier Science & Technology Books, 2023.

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41

Deep Learning in Personalized Healthcare and Decision Support. Elsevier Science & Technology, 2023.

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42

Trent, R. J. Molecular Medicine, Third Edition : Genomics to Personalized Healthcare. Academic Press, 2005.

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43

Griffiths, Ray. Mitochondria in Health and Disease : Personalized Nutrition for Healthcare Practitioners. Kingsley Publishers, Jessica, 2018.

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44

Škare, Marinko, et Sandra Kraljević Pavelić. Novel Perspectives in Economics of Personalized Medicine and Healthcare Systems. Sous la direction de Romina Pržiklas Družeta. Nova Science Publishers, 2021. http://dx.doi.org/10.52305/imrm1661.

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45

Druzeta, Romina Prziklas. Novel Perspectives in Economics of Personalized Medicine and Healthcare Systems. Nova Science Publishers, Incorporated, 2021.

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46

Pavelić, Kresimir, Gerald G. Sander, Nada Bodiroga-Vukobrat et Daniel Rukavina. Personalized Medicine in Healthcare Systems : Legal, Medical and Economic Implications. Springer International Publishing AG, 2020.

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47

Sander, Gerald G., Nada Bodiroga-Vukobrat, Daniel Rukavina et Krešimir Pavelić. Personalized Medicine in Healthcare Systems : Legal, Medical and Economic Implications. Springer, 2019.

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48

Weert, Nico van, et Jan Hazelzet. Personalized Specialty Care : Value Based Healthcare Frontrunners from the Netherlands. Springer International Publishing AG, 2021.

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49

Druzeta, Romina Prziklas. Novel Perspectives in Economics of Personalized Medicine and Healthcare Systems. Nova Science Publishers, Incorporated, 2021.

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50

Jain, Vishal, Ritika Wason, Dinesh Goyal, S. Balamurugan et Anupam Baliyan. Applications of Deep Learning and Big IoT on Personalized Healthcare Services. IGI Global, 2020.

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