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Titlebook: An Information Technology Framework for Predictive, Preventive and Personalised Medicine; A Use-Case with Hepa Leonard Berliner,Heinz U. Le

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發(fā)表于 2025-3-21 18:48:12 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱An Information Technology Framework for Predictive, Preventive and Personalised Medicine
期刊簡(jiǎn)稱A Use-Case with Hepa
影響因子2023Leonard Berliner,Heinz U. Lemke
視頻videohttp://file.papertrans.cn/156/155051/155051.mp4
發(fā)行地址Provides a roadmap for integrating Information Technology with PPPM.Proposes a methodology for managing vast amounts of personal medical data for decision support by means of Bayesian networks.Introdu
學(xué)科分類Advances in Predictive, Preventive and Personalised Medicine
圖書封面Titlebook: An Information Technology Framework for Predictive, Preventive and Personalised Medicine; A Use-Case with Hepa Leonard Berliner,Heinz U. Le
影響因子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.
Pindex Book 2015
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Book 2015he 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.
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https://doi.org/10.1007/978-3-319-12166-6Decision Support System; Hepatocellular Cancer; Information Technology; Model Guided Therapy; Predictive
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978-3-319-38434-4Springer International Publishing Switzerland 2015
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Leonard Berliner,Heinz U. LemkeProvides a roadmap for integrating Information Technology with PPPM.Proposes a methodology for managing vast amounts of personal medical data for decision support by means of Bayesian networks.Introdu
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Annette Bathen,Kerstin Meyer,Fabian Stibaneical practice, and basic medical research could be best served by information technology (IT). To avoid the problems inherent in formulating IT solutions in isolation, a use-case was developed employing hepatocellular carcinoma (HCC). The subject matter was approached from four separate, but interre
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