Modeling of medical equipment maintenance in health care facilities to support decision making / Hanaa Ali Mohammed Ahmed Badwi ; Supervised Amr Sharawy , Manal Abdelwahed
Material type: TextLanguage: eng Publication details: Cairo : Hanaa Ali Mohammed Ahmed Badwi , 2010Description: 77P. : charts , facsimiles ; 30cmOther title:- نمذجه صيانة الاجهزة الطبية لدعم القرار فى اماكن الرعاية الطبيه [Added title page title]
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Item type | Current library | Home library | Call number | Copy number | Status | Date due | Barcode | |
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Thesis | قاعة الرسائل الجامعية - الدور الاول | المكتبة المركزبة الجديدة - جامعة القاهرة | Cai01.13.03.M.Sc.2010.Ha.M (Browse shelf(Opens below)) | Not for loan | 01010110052890000 | |||
CD - Rom | مخـــزن الرســائل الجـــامعية - البدروم | المكتبة المركزبة الجديدة - جامعة القاهرة | Cai01.13.03.M.Sc.2010.Ha.M (Browse shelf(Opens below)) | 52890.CD | Not for loan | 01020110052890000 |
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Cai01.13.03.M.Sc.2010.Ah.I Improved segmentation technique to detect cardiac infarction in composite strain - encoded ( C - sence ) images / | Cai01.13.03.M.Sc.2010.Fa.M Multi - layer model for laser skin tissue interaction in human / | Cai01.13.03.M.Sc.2010.Fa.M Multi - layer model for laser skin tissue interaction in human / | Cai01.13.03.M.Sc.2010.Ha.M Modeling of medical equipment maintenance in health care facilities to support decision making / | Cai01.13.03.M.Sc.2010.Ha.M Modeling of medical equipment maintenance in health care facilities to support decision making / | Cai01.13.03.M.Sc.2010.Ka.O Objective analysis of ultrasound images by use of a computational observer / | Cai01.13.03.M.Sc.2010.Ka.O Objective analysis of ultrasound images by use of a computational observer / |
Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Systems and Biomedical Engineering
This work was developed system for the daily maintenance observation of medical equipment which under clinical engineers responsibility . The goal is to support their decision making for medical equipment replacement and / or transform new technology . Three models of time series methods were used in prediction stage Autoregressive Model (AR) Autoregressive Moving Average (ARMA) and Linear Prediction Coefficient (LPC) filter
Issued also as CD
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