Inference in multi-state survival data
MATH'08 Proceedings of the 13th WSEAS international conference on Applied mathematics
A penalized fuzzy clustering algorithm
ACS'06 Proceedings of the 6th WSEAS international conference on Applied computer science
Wavelet-based statistical analysis in functional neuroimaging
WAMUS'06 Proceedings of the 6th WSEAS international conference on Wavelet analysis & multirate systems
Feature extraction in digital mammography using LabVIEW
CONTROL'05 Proceedings of the 2005 WSEAS international conference on Dynamical systems and control
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Trisomy 21 is the most frequent types of chromosomal abnormalities. Generally, current methods for trisomy risk assessment are divided into two techniques, which are invasive and non-invasive methods. Invasive methods are including amniocentesis, chorionic villus sampling (CVS), or percutaneous umbilical cord blood sampling (PUBS), but its drawbacks are expensive, time consuming and having risk of miscarriage, where else non-invasive methods are counting on ultrasound marker and maternal serum markers screening. Nevertheless, single evaluations on ultrasound markers itself are always not enough for risk assessment in terms of its accuracy, reliability and consistency. So, we proposed a new mathematical algorithm which combines three maternal serum markers using trivariate lognormal distribution to calculate automatically the probability or likelihood that a woman has an affected pregnancy or not. The developed algorithm was implemented into graphical user interface to act as computer aided e-diagnostic system. We have compared the results with published finding and found it is almost equally accurate.