Syndrome Diagnosis: Human Intuition or Machine Intelligence?

Table 4: Vector Method/ Nearest Neighbour Run

Syndrome Name	No of Cases	Sensitivity	Specificity	Predictive Value
FAS	3597	99.9	99.5	99.7
Trisomy 21	702	100.0	100.0	100.0
Fragile X	355	99.4	99.7	94.9
Noonan	299	99.7	100.0	99.7
Congenital CMV	221	94.6	99.8	95.4
Trisomy 18	208	99.0	99.8	95.8
Turner	123	94.3	100.0	98.3
Trisomy 13	93	90.3	100.0	98.8
deLange	81	97.5	100.0	100.0
Williams	66	97.0	100.0	98.5
Beckwith	56	96.4	100.0	100.0
Prader-Willi	55	100.0	100.0	98.2
Meckel	38	94.7	100.0	100.0
Cri du chat (5p-)	30	100.0	100.0	100.0
Zellweger	30	86.7	100.0	100.0
Klippel-Feil	23	95.7	100.0	100.0
SLOS	23	69.6	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 5944, global error rate 0.93%.