Prediction of Medical Equipment Failure Rate: A Case Study

Author:

Aboul-Yazeed Rasha S.,El-Bialy Ahmed,Mohamed Abdalla S. A.

Publisher

Springer International Publishing

Reference22 articles.

1. WHO Library Cataloguing-in-Publication Data: Medical Equipment Maintenance Program Overview. Who medical device technical series. World Health Organization (2011). http://apps.who.int/medicinedocs/documents/s21566en/s21566en.pdf

2. Fries, R.C.: Reliable Design of Medical Devices, 3rd edn. CRC Press, Taylor & Francis Group, New York (2005)

3. Dhillon, B.S.: Medical Device Reliability and Associated Areas. CRC Press, Taylor & Francis Group, New York (2000)

4. Roelfsema, S., Ion, R.A.: Early reliability prediction based on Field Data. In: Eindhoven: Technische Universiteit Eindhoven, Technische Universiteit Eindhoven (TUE). Capaciteitsgroep Quality and Reliability Engineering (QRE). TU Eindhoven. Fac. Bedrijfskunde: afstudeerverslagen (2004) (in Dutch)

5. Ion, R.A, Sonnemans, P.J.M., Wensing, T.: Reliability Prediction for Complex Medical Systems. In: Reliability and Maintainability Symposium, pp. 368–373 (2006)

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1. Safety warning: LCD screen failure with a Datex-Ohmeda Aisys™ CS2 anesthesia machine;Canadian Journal of Anesthesia/Journal canadien d'anesthésie;2022-12-05

2. Medical Equipment Failure Rate Analysis Using Supervised Machine Learning;The International Conference on Advanced Machine Learning Technologies and Applications (AMLTA2018);2018

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