A modern guide to computational models and constructive simulation for personalized patient care using the Digital Patient
The healthcare industry's emphasis is shifting from merely reacting to disease to preventing disease and promoting wellness. Addressing one of the more hopeful Big Data undertakings, The Digital Patient: Advancing Healthcare, Research, and Education presents a timely resource on the construction and deployment of the Digital Patient and its effects on healthcare, research, and education. The Digital Patient will not be constructed based solely on new information from all the "omics" fields; it also includes systems analysis, Big Data, and the various efforts to model the human physiome and represent it virtually. The Digital Patient will be realized through the purposeful collaboration of patients as well as scientific, clinical, and policy researchers.
The Digital Patient: Advancing Healthcare, Research, and Education addresses the international research efforts that are leading to the development of the Digital Patient, the wealth of ongoing research in systems biology and multiscale simulation, and the imminent applications within the domain of personalized healthcare. Chapter coverage includes:
The Digital Patient: Advancing Healthcare, Research, and Education is a useful reference for simulation professionals such as clinicians, medical directors, managers, simulation technologists, faculty members, and educators involved in research and development in the life sciences, physical sciences, and engineering. The book is also an ideal supplement for graduate-level courses related to human modeling, simulation, and visualization.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
C. Donald Combs, PhD, is Vice President and Dean of the School of Health Professions at Eastern Virginia Medical School and is also a senior faculty member in the Department of Modeling, Simulation, and Visualization Engineering at Old Dominion University.
John A. Sokolowski, PhD, is Associate Professor and Executive Director of the Virginia Modeling, Analysis, and Simulation Center at Old Dominion University.
Catherine M. Banks, PhD, is Research Associate Professor at the Virginia Modeling, Analysis, and Simulation Center at Old Dominion University.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Paperback. Etat : new. Paperback. A modern guide to computational models and constructive simulation for personalized patient care using the Digital Patient The healthcare industrys emphasis is shifting from merely reacting to disease to preventing disease and promoting wellness. Addressing one of the more hopeful Big Data undertakings, The Digital Patient: Advancing Healthcare, Research, and Education presents a timely resource on the construction and deployment of the Digital Patient and its effects on healthcare, research, and education. The Digital Patient will not be constructed based solely on new information from all the omics fields; it also includes systems analysis, Big Data, and the various efforts to model the human physiome and represent it virtually. The Digital Patient will be realized through the purposeful collaboration of patients as well as scientific, clinical, and policy researchers. The Digital Patient: Advancing Healthcare, Research, and Education addresses the international research efforts that are leading to the development of the Digital Patient, the wealth of ongoing research in systems biology and multiscale simulation, and the imminent applications within the domain of personalized healthcare. Chapter coverage includes: The visible humanThe physiological humanThe virtual humanResearch in systems biologyMulti-scale modelingPersonalized medicineSelf-quantificationVisualizationComputational modelingInterdisciplinary collaboration The Digital Patient: Advancing Healthcare, Research, and Education is a useful reference for simulation professionals such as clinicians, medical directors, managers, simulation technologists, faculty members, and educators involved in research and development in the life sciences, physical sciences, and engineering. The book is also an ideal supplement for graduate-level courses related to human modeling, simulation, and visualization. A modern guide to computational models and constructive simulation for personalized patient care using the Digital Patient The healthcare industry s emphasis is shifting from merely reacting to disease to preventing disease and promoting wellness. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9781118952757
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Etat : New. A modern guide to computational models and constructive simulation for personalized patient care using the Digital Patient The healthcare industry s emphasis is shifting from merely reacting to disease to preventing disease and promoting wellness. Editor(s): Sokolowski, John A.; Banks, Catherine M.; Combs, C. D. Series: Wiley Series in Modeling and Simulation. Num Pages: 336 pages, illustrations. BIC Classification: MJ; UYM. Category: (P) Professional & Vocational. Dimension: 179 x 254 x 20. Weight in Grams: 566. . 2016. Paperback. . . . . N° de réf. du vendeur V9781118952757
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Etat : New. A modern guide to computational models and constructive simulation for personalized patient care using the Digital Patient The healthcare industry s emphasis is shifting from merely reacting to disease to preventing disease and promoting wellness. Editor(s): Sokolowski, John A.; Banks, Catherine M.; Combs, C. D. Series: Wiley Series in Modeling and Simulation. Num Pages: 336 pages, illustrations. BIC Classification: MJ; UYM. Category: (P) Professional & Vocational. Dimension: 179 x 254 x 20. Weight in Grams: 566. . 2016. Paperback. . . . . Books ship from the US and Ireland. N° de réf. du vendeur V9781118952757
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Paperback. Etat : new. Paperback. A modern guide to computational models and constructive simulation for personalized patient care using the Digital Patient The healthcare industrys emphasis is shifting from merely reacting to disease to preventing disease and promoting wellness. Addressing one of the more hopeful Big Data undertakings, The Digital Patient: Advancing Healthcare, Research, and Education presents a timely resource on the construction and deployment of the Digital Patient and its effects on healthcare, research, and education. The Digital Patient will not be constructed based solely on new information from all the omics fields; it also includes systems analysis, Big Data, and the various efforts to model the human physiome and represent it virtually. The Digital Patient will be realized through the purposeful collaboration of patients as well as scientific, clinical, and policy researchers. The Digital Patient: Advancing Healthcare, Research, and Education addresses the international research efforts that are leading to the development of the Digital Patient, the wealth of ongoing research in systems biology and multiscale simulation, and the imminent applications within the domain of personalized healthcare. Chapter coverage includes: The visible humanThe physiological humanThe virtual humanResearch in systems biologyMulti-scale modelingPersonalized medicineSelf-quantificationVisualizationComputational modelingInterdisciplinary collaboration The Digital Patient: Advancing Healthcare, Research, and Education is a useful reference for simulation professionals such as clinicians, medical directors, managers, simulation technologists, faculty members, and educators involved in research and development in the life sciences, physical sciences, and engineering. The book is also an ideal supplement for graduate-level courses related to human modeling, simulation, and visualization. A modern guide to computational models and constructive simulation for personalized patient care using the Digital Patient The healthcare industry s emphasis is shifting from merely reacting to disease to preventing disease and promoting wellness. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9781118952757
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