Qualitative Simulation in Medical Physiology: A Progress Report

This progress report describes the current status of the application of the QSIM qualitative simulation representation and algorithm to mechanisms drawn from medical physiology. QSIM takes a qualitative description of the structure of a mechanism and produces and qualitative description of its behav...

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Main Author: Kuipers, Benjamin
Published: 2023
Online Access:https://hdl.handle.net/1721.1/149089
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author Kuipers, Benjamin
author_facet Kuipers, Benjamin
author_sort Kuipers, Benjamin
collection MIT
description This progress report describes the current status of the application of the QSIM qualitative simulation representation and algorithm to mechanisms drawn from medical physiology. QSIM takes a qualitative description of the structure of a mechanism and produces and qualitative description of its behavior. Here we apply it to a set of different, medically realistic examples, to represent the following kinds of knowledge: 1) Physiology: qualitative simulation handles the response of normally-functioning mechanisms for salt and water balance to a variety of different environmental perturbations. 2) Pathophysiology: local changes to the structure describing a normal mechanism produces a structure that accurately describes the pathophysiology of a set of diseases. 3) Abstraction: the knowledge of the complexity of human physiology can only be handled by organizing it hierarchically. A hierarchy according to the temporal scale of equilibrium processes appears to be promising. 4) Cardiology: a complex structure describing maintenance of heart rate and blood pressure was adequately constructed during a short meeting with a set of computationally sophisticated physicians. 5) Future Directions: we can outline some of the representation barriers in the way of capturing a broader range of medical knowledge.
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spelling mit-1721.1/1490892023-03-30T03:16:52Z Qualitative Simulation in Medical Physiology: A Progress Report Kuipers, Benjamin This progress report describes the current status of the application of the QSIM qualitative simulation representation and algorithm to mechanisms drawn from medical physiology. QSIM takes a qualitative description of the structure of a mechanism and produces and qualitative description of its behavior. Here we apply it to a set of different, medically realistic examples, to represent the following kinds of knowledge: 1) Physiology: qualitative simulation handles the response of normally-functioning mechanisms for salt and water balance to a variety of different environmental perturbations. 2) Pathophysiology: local changes to the structure describing a normal mechanism produces a structure that accurately describes the pathophysiology of a set of diseases. 3) Abstraction: the knowledge of the complexity of human physiology can only be handled by organizing it hierarchically. A hierarchy according to the temporal scale of equilibrium processes appears to be promising. 4) Cardiology: a complex structure describing maintenance of heart rate and blood pressure was adequately constructed during a short meeting with a set of computationally sophisticated physicians. 5) Future Directions: we can outline some of the representation barriers in the way of capturing a broader range of medical knowledge. 2023-03-29T14:26:16Z 2023-03-29T14:26:16Z 1985-06 https://hdl.handle.net/1721.1/149089 MIT-LCS-TM-280 application/pdf
spellingShingle Kuipers, Benjamin
Qualitative Simulation in Medical Physiology: A Progress Report
title Qualitative Simulation in Medical Physiology: A Progress Report
title_full Qualitative Simulation in Medical Physiology: A Progress Report
title_fullStr Qualitative Simulation in Medical Physiology: A Progress Report
title_full_unstemmed Qualitative Simulation in Medical Physiology: A Progress Report
title_short Qualitative Simulation in Medical Physiology: A Progress Report
title_sort qualitative simulation in medical physiology a progress report
url https://hdl.handle.net/1721.1/149089
work_keys_str_mv AT kuipersbenjamin qualitativesimulationinmedicalphysiologyaprogressreport