Computer-Assisted Medical Decision Making

ISBN-13: 9781461385561 / Angielski / Miękka / 2011 / 288 str.

J. a. Reggia; S. Tuhrim

Opis

Computer technology has impacted the practice of medicine in dramatic ways. Imaging techniques provide noninvasive tools which alter the diag- nostic process. Sophisticated monitoring equipment presents new levels of detail for both patient management and research. In most of these high technology applications, the computer is embedded in the device; its presence is transparent to the user. There is also a growing number of applications in which the health care provider directly interacts with a computer. In many cases, these appli- cations are limited to administrative functions, e.g., office practice man- agement, location of hospital patients, appointments, and scheduling. Nevertheless, there also are instances of patient care functions such as results reporting, decision support, surveillance, and reminders. This series, Computers and Medicine, will focus upon the direct use of information systems as it relates to the medical community. After twenty-five years of experimentation and experience, there are many tested applications which can be implemented economically using the current generation of computers. Moreover, the falling cost of computers suggests that there will be even more extensive use in the near future. Yet there is a gap between current practice and the state-of-the-art.

Spis treści

for Volume 1.- I. Introduction.- 1. An Overview of Methods for Computer-Assisted Medical Decision Making.- 2. Reasoning Foundations of Medical Diagnosis.- II. Algorithmic Approaches.- 3. Computer-Based Consultation: Electrolyte and Acid-Base Disorders.- 4. Reduction of Digitalis Toxicity by Computer-Assisted Glycoside Dosage Regimens.- 5. A Consultant-Extender System for Breast Cancer Adjuvant Chemotherapy.- III. Statistically Oriented Approaches.- 6. A Mathematical Approach to Medical Diagnosis: Application to Congenital Heart Disease.- 7. Computer-Aided Diagnosis of Acute Abdominal Pain.- 8. Computer-Assisted Diagnosis of Abdominal Pain Using “Estimates” Provided by Clinicians.- 9. Bayes’ Theorem and Conditional Nonindependence of Data in Medical Diagnosis.- 10. Transferability of Medical Decision Support Systems Based on Bayesian Classification.- 11. Experience with a Model of Sequential Diagnosis.- 12. Pattern-Based Interactive Diagnosis of Multiple Disorders: The MEDAS System.- 13. Enhancement of Clinical Predictive Ability by Computer Consultation.- 14. Decision Analysis and Clinical Judgment.