Homer R. Warner, Dean K. Sorenson, Omar Bouhaddou

Knowledge Engineering in Health Informatics (eBook, PDF)

• Format: PDF

Produktbeschreibung

The "information explosion" in recent decades has made it impossible for practicing physicians (even specialists) to keep up with all the information potentially at their disposal. As a result, it is not surprising that empirical studies have shown that physicians do not always make optimal decisions. Thus, medical expert systems are now available to support - not replace - physicians and healthcare providers in their goal of providing the best possible healthcare to every patient. Knowledge Engineering in Health Informatics is a guide to the creation of such systems. Presenting the core material for courses such as Medical Knowledge Engineering and Expert System Development, it allows non-experts to make diagnostic decisions with the precision and accuracy of medical experts thanks to the help of the computer.

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Produktdetails

• Verlag: Springer US
• Seitenzahl: 265
• Erscheinungstermin: 6. Dezember 2012
• Englisch
• ISBN-13: 9781461218227
• Artikelnr.: 44063946

Inhaltsangabe

Contents: Background and Legacy. - The Expert System. - The Model Used for this Text...Iliad. - Limiting the Domain of the Model...the Data Dictionary. - The Knowledge Engineering Process. - Evaluation of the Model. - Application of the Model. - Lessons Learned. - Knowledge and Engineering Tools. - Example Knowledge Bases. - Future Challenges. Appendices: Example Hierarchies of Top Level Diseases (final disgnoses) in Various Medical Specialities. - Suggested Prevalences for Various Diseases in Internal Medicine and Some Specialties- Using the Iliad KETool. - Some Example Fairly Domain-Specific Symptom Lists. - Data Relations (examples). - Word Relations (examples). Bibliography. Index.