Foundations of Biomedical Knowledge Representation
Methods and Applications
(Sprache: Englisch)
Medicineand health care are currently faced with a significant rise in theircomplexity. This is partly due to the progress made during the past threedecades in the fundamental biological understanding of the causes of health anddisease at the molecular,...
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Medicineand health care are currently faced with a significant rise in theircomplexity. This is partly due to the progress made during the past threedecades in the fundamental biological understanding of the causes of health anddisease at the molecular, (sub)cellular, and organ level. Since the end of the1970s, when knowledge representation and reasoning in the biomedical fieldbecame a separate area of research, huge progress has been made in thedevelopment of methods and tools that are finally able to impact on the waymedicine is being practiced.Eventhough there are huge differences in the techniques and methods used bybiomedical researchers, there is now an increasing tendency to share researchresults in terms of formal knowledge representation methods, such asontologies, statistical models, network models, and mathematical models. Asthere is an urgent need for health-care professionals to make better decisions,computer-based support using this knowledge is now becoming increasingly important.It may also be the only way to integrate research results from the differentparts of the spectrum of biomedical and clinical research.
Theaim of this book is to shed light on developments in knowledge representationat different levels of biomedical application, ranging from human biology toclinical guidelines, and using different techniques, from probability theoryand differential equations to logic. The book starts with two introductorychapters followed by 18 contributions organized in the following topicalsections: diagnosis of disease; monitoring of health and disease andconformance; assessment of health and personalization; prediction and prognosisof health and disease; treatment of disease; and recommendations.
Inhaltsverzeichnis zu „Foundations of Biomedical Knowledge Representation “
Howto Read the Book "Foundations of Biomedical Knowledge Representation".- AnIntroduction to Knowledge Representation and Reasoning in Healthcare.- Representing Knowledge forClinical Diagnostic Reasoning.- Automated Diagnosis of Breast Cancer onMedical.- Monitoring in the Healthcare Setting.- Conformance Verification ofClinical Guidelines in Presence of Computerized and Human-Enhanced.- Modelling and Monitoringthe Individual Patient in Real Time.- Personalised Medicine: Taking a New Lookat the Patient.- Graphical Modelling in Genetics and Systems Biology.- ChainGraphs and Gene Networks.- Prediction and Prognosis of Health and Disease.- TrajectoriesThrough the Disease Process: Cross Sectional andLongitudinal Studies.- Dynamic Bayesian Network forCervical Cancer Screening.- Modeling Dynamic Processes with Memory by HigherOrder TemporalModels.- Treatment of Disease: The Role of Knowledge Representation forTreatment Selection.- Predicting Adverse Drug Events from Electronic MedicalRecords.- User Modelling for Patient Tailored Virtual Rehabilitation.- SupportingPhysicians and Patients through Recommendation: Guidelines and Beyond.- AHybrid Approach to the Verification of Computer Interpretable Guidelines.- Aggregation of ClinicalEvidence Using Argumentation.
Bibliographische Angaben
- 2016, 1st ed. 2015, XII, 339 Seiten, 339 farbige Abbildungen, Maße: 15,5 x 23,5 cm, Kartoniert (TB), Englisch
- Herausgegeben: Arjen Hommersom, Peter J.F. Lucas
- Verlag: Springer, Berlin
- ISBN-10: 3319280066
- ISBN-13: 9783319280066
- Erscheinungsdatum: 03.02.2016
Sprache:
Englisch
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