Syndrome Diagnosis: Human Intuition or Machine Intelligence?

Table 5: ID3run

Syndrome Name	No of Cases	Sensitivity	Specificity	Predictive Value
FAS	3597	99.7	99.5	99.7
Trisomy 21	702	100.0	100.0	100.0
Fragile X	355	93.2	98.9	98.2
Noonan	299	100.0	100.0	100.0
Congenital CMV	221	94.6	99.7	98.3
Trisomy 18	208	100.0	100.0	99.5
Turner	123	94.3	99.8	90.6
Trisomy 13	93	98.9	100.0	100.0
deLange	81	100.0	100.0	100.0
Williams	66	97.0	99.8	87.7
Beckwith	56	100.0	100.0	100.0
Prader-Willi	55	100.0	100.0	100.0
Meckel	38	100.0	100.0	100.0
Cri du chat (5p-)	30	100.0	100.0	100.0
Zellweger	30	100.0	100.0	100.0
Klippel-Feil	23	95.7	99.9	88.0
SLOS	23	100.0	100.0	100.0

FAS, fetal alcohol syndrome, SLOS, Smith-Lemli-Opitz syndrome.Average of ten runs of 6000 artificial patients in each run. On average correctly diagnosed 5942, global error rate 0.97%.