Decision Model to Predict the Implant Success
نویسندگان
چکیده
In this work we propose to build a set of binary logistic models that could assess the probability of success or no success in oral rehabilitation process taking into account some genetic factors, individual habits clinical and non-clinical factors. The study was conducted in a retrospective evaluation and consisted of 155 subjects undergoing oral rehabilitation in the Northern region of Portugal. We evaluated multiple factors in the construction of binary logistic regression models. We have chosen the model that gave statistically better discriminating power between success and failure, through the value of area under the ROC curve. The model that reveals better performance was Model 4, with AUC = 0.789 and a 95% confidence interval [0.715; 0.863].
منابع مشابه
The axisymmetric computational study of a femoral component to analysis the effect of titanium alloy and diameter variation.
This work presents a numerical approach in order to predict the influence of implant material stiffness in a femoral component design when submitted in compression. The implant success depends on the transferred load to the neighboring bone. The finite element method can be used to analysis the stress and strain distribution in the femoral component allowing to improve the implant selection. Fo...
متن کاملDesigning a decision support system to predict the success of research centers with discriminatory analysis DEA
Research centers have an important place in promoting science and technology nationwide. On the other hand, given the limitations in allocating the funds and the facilities needed to establish these centers, it is important to decide on the selection of priority centers. In this decision - making process, several factors, such as requirements, priorities and strategies, capabilities, and balanc...
متن کاملDeveloping a fuzzy expert system to predict technology commercialization success
A majority of efforts in terms of technology commercialization have failed; however, the issue of commercialization and its high importance are agreed upon by policymakers, entrepreneurs, and researchers. This shows the high complexity of the commercialization process. One of the main solutions to overcome the commercialization problems is to predict the success of technology commercialization ...
متن کاملComputational modeling of dynamic decision making using connectionist networks
In this research connectionist modeling of decision making has been presented. Important areas for decision making in the brain are thalamus, prefrontal cortex and Amygdala. Connectionist modeling with 3 parts representative for these 3 areas is made based the result of Iowa Gambling Task. In many researches Iowa Gambling Task is used to study emotional decision making. In these kind of decisio...
متن کاملDimensional changes of three-unit implant-supported zirconia frameworks from scanning to sintering
Background and Aims: Passive fitness of implant frameworks are important factors for long-term success of dental implant restorations. The aim of this in vitro study was to evaluate the dimensional changes of implant supported zirconia frameworks fabricated by Zirkonzahn CAD/CAM system during fabrication stages. Materials and Methods: The master model of 3-unit FDP was made of two implant abut...
متن کامل