1. Computational Intelligence
Computational Intelligent Diagnostic System in Predicting Fetal Aneuploidies
Computational Intelligence
Artificial neural networks
Evolutionary systems /
Genetic algorithms
Artificial immune systems
Fuzzy systems
Maternal age
Previous trisomy
Crown-rump length
Gestational age
Nuchal translucency
Fetal heart rate
Free ß-hCG
PAPP-A
Nasal bone
Tricuspid flow
Ductus venosus flow
Christos Schizas
Kypros Nicolaides
Andreas Neocleous
Kleanthis Neokleous
Natasa Schiza
Costas Neocleous
FMF, University of Cyprus, Cyprus University of Technology, Cyprus

2. Computational Intelligent System in predicting fetal aneuploidies
Objective: Employ computational intelligence to predict fetal aneuploidies
Artificial Neural Network Architecture
Input (10 neurons)
Age, previous trisomy, CRL, NT, FHR,
ß-hCG, PAPP-A, NB, TR, DV
(Linear activation)
Hidden Layer 1 (80 neurons)
(Logistic activation)
Output Layer (5 neurons)
Normal / Abnormal (Turner, T13,T18,T21)
Hidden Layer 2 (10 neurons)
(Symmetric logistic activation)
Hidden Layer 3 (80 neurons)
All data:
Total singleton pregnancies 34,182
Euploid 33,792 (98.8%)
Aneuploidy (1.2%)
Trisomy
Trisomy
Trisomy
Triploidy 18
Turner syndrome 35
Data for training, simulations and validations:
Training various artificial neural networks 26,000
Totally unknown cases used for validations 8,182

3. Computational Intelligent System in predicting fetal aneuploidies
Results on the unknown validation (verification) data set:
Predicted Correct
ALL cases
Euploid
Aneuploid
8,032 64
8,017 (99.8%)
64 (100%)
Classification into EUPLOID - ANEUPLOID
Predicted Correct
ALL cases
Euploid
Trisomy 21
8,032 60
8,016 (99.8%)
54 (90.0%)
Classification into EUPLOID – Trisomy 21
Normal
Trisomy 21
Trisomy 18
Trisomy 13
Triploidy
Turner
ALL cases
4,521
4,482 21 10 3 2
Predicted Correct
4,505
(99.5%)
4,481
(99.98%) 18
(85.7%) 6
(60.0%)
Classification into EUPLOID - T21 – T18 - T13 – Triploidy - Turner

4. Computational Intelligent System in predicting fetal aneuploidies
Conclusions
There is a very good discrimination between Euploid and Aneuploid cases
There is a good discrimination between normal and Trisomy 21 cases
T13, Triploidy and Turner cases are hard to predict (mainly because of the small number of cases available for network training)
Thank you