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01.11.2018 | Mobile & Wireless Health | Ausgabe 11/2018

Journal of Medical Systems 11/2018

Memetic Search Optimization Along with Genetic Scale Recurrent Neural Network for Predictive Rate of Implant Treatment

Zeitschrift:
Journal of Medical Systems > Ausgabe 11/2018
Autoren:
Abdulaziz Alarifi, Ahmad Ali AlZubi
Wichtige Hinweise
This article is part of the Topical Collection on Mobile & Wireless Health

Abstract

Implant treatment is one of the most important surgical processes in teeth which reduces the difficulties in teeth by providing the interface between bone and jaw. The established implant treatment used to support the denture, bridge and teeth crown. Even though it supports many dental related activities, the successive measure of implant treatment is fail to manage because it fully depends on the patient’s personal activities and health condition of mouth tissues. So, the successive rate of implant treatment process is identified by applying the memetic search optimization along with Genetic scale recurrent neural network method. The introduced method analyzes the patient characteristics which helps to recognize the successive and failure rate of implant treatment process. The quality of the implant treatment of using simulation results in terms of sensitivity, specificity and accuracy metrics.

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