Foundations of Biomedical Knowledge Representation Methods and Applications /

Medicine and health care are currently faced with a significant rise in their complexity. This is partly due to the progress made during the past three decades in the fundamental biological understanding of the causes of health and disease at the molecular, (sub)cellular, and organ level. Since the...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Hommersom, Arjen (Επιμελητής έκδοσης), Lucas, Peter J.F (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2015.
Έκδοση:1st ed. 2015.
Σειρά:Lecture Notes in Computer Science, 9521
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • How to Read the Book “Foundations of Biomedical Knowledge Representation”
  • An Introduction to Knowledge Representation and Reasoning in Healthcare
  • Representing Knowledge for Clinical Diagnostic Reasoning
  • Automated Diagnosis of Breast Cancer on Medical
  • Monitoring in the Healthcare Setting
  • Conformance Verification of Clinical Guidelines in Presence of Computerized and Human-Enhanced
  • Modelling and Monitoring the Individual Patient in Real Time
  • Personalised Medicine: Taking a New Look at the Patient
  • Graphical Modelling in Genetics and Systems Biology
  • Chain Graphs and Gene Networks
  • Prediction and Prognosis of Health and Disease
  • Trajectories Through the Disease Process: Cross Sectional and Longitudinal Studies
  • Dynamic Bayesian Network for Cervical Cancer Screening
  • Modeling Dynamic Processes with Memory by Higher Order Temporal Models
  • Treatment of Disease: The Role of Knowledge Representation for Treatment Selection
  • Predicting Adverse Drug Events from Electronic Medical Records
  • User Modelling for Patient Tailored Virtual Rehabilitation
  • Supporting Physicians and Patients through Recommendation: Guidelines and Beyond
  • A Hybrid Approach to the Verification of Computer Interpretable Guidelines
  • Aggregation of Clinical Evidence Using Argumentation.