The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON SYSTEMS
Transactions ID Number: 88-117
Full Name: Lai Khin Wee
Position: Researcher
Age: ON
Sex: Male
Address: FKBSK, Universiti Teknologi Malaysia
Country: MALAYSIA
Tel: 0049-015774853251
Tel prefix:
Fax:
E-mail address: laikw2@gmail.com
Other E-mails: khinwee@yahoo.com, eko@utm.my, khinwee@daad-alumni.de
Title of the Paper: Automated Trisomy 21 Assessment Based on Maternal Serum Markers Using Trivariate Lognormal Distribution
Authors as they appear in the Paper: Lai Khin Wee, Lim Miin, Eko Supriyanto
Email addresses of all the authors: laikw2@gmail.com, eko@utm.my, khinwee@daad-alumni.de
Number of paper pages: 10
Abstract: 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.
Keywords: Trisomy 21, Maternal Serum Marker, Maternal Heath Data, Trivariate Distribution, Bivariate Distribution, Chromosomal Abnormalities, Multivariate Distribution
EXTENSION of the file: .doc
Special (Invited) Session: Automated Risk Calculation for Trisomy 21 Based on Maternal Serum Markers Using Trivariate Lognormal Distribution
Organizer of the Session: ACMOS-55 or 645-402
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