A Handy Diagnostic Tool for Preventive Therapy based on Prior Estimation of Metastasis
Journal Title: UNKNOWN - Year 2015, Vol 4, Issue 2
Abstract
In this paper fuzzy arithmetic is used to develop a prediction model for the first site of breast cancer metastasis. Membership functions for the overly expressed protein biomarkers are developed. Three first sites of metastasis i.e., bone, liver and lung are chosen. A fuzzy relation between these metastases and the protein biomarkers is computed. A neural network is trained with these fuzzy relations to predict the first site of metastasis. The trained network is tested for different combination of proteins for the prediction of metastasis. These fuzzy relations were defuzzified using Lambda cut sets to predict the first site of metastasis. These results were compared to that obtained with the neuro-fuzzy model. The different protein biomarkers chosen were COX2, HER2, ER, PgR, CK5, CK18, GATA3 and E-cadherin.
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A Survey Paper on Clustering-based Collaborative Filtering Approach to Generate Recommendations
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Application of the Complex Mother Wavelet Shan 1-1.5 Processing to Lamb Modes Signals in Plates
In this paper, we present a finite element modeling of A0 and S0 Lamb modes in a plate with an internal defect. The complex mother wavelet Shan 1-1.5 and the 2D fast Fourier transform are used for the post processing of...
Design and Analysis of Automotive Powertrain Using Static, Model, Thermal and Transient Structure Analysis Techniques
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Harmonic Elimination for Power Quality and Compensation in Single Phase Distribution
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