From: Bayesian network modelling to identify on-ramps to childhood obesity
From | To | Probability |
---|---|---|
BMI1 | BMI | 1.000 |
BMI2 | BMI | 1.000 |
BWZ | BMI | 1.000 |
GW | BWZ | 1.000 |
SE | TV | 1.000 |
SEX | EG | 1.000 |
SEX | CD | 1.000 |
TV | EG | 1.000 |
SE | INC | 0.998 |
SE | BMI1 | 0.997 |
SE | RP1 | 0.997 |
SE | FV | 0.995 |
EG | FTA | 0.992 |
FTA | BMI | 0.991 |
DP1 | CD | 0.990 |
SE | HSD | 0.989 |
SE | FTA | 0.983 |
DP1 | RP1 | 0.980 |
LOTE | FV | 0.979 |
FS | DP1 | 0.975 |
FS | FH | 0.960 |
SE | FS | 0.952 |
LOTE | BWZ | 0.945 |
SL | SLD | 0.937 |
SE | HF | 0.936 |
SEX | SLD | 0.929 |
DP1 | EM | 0.917 |
EM | CD | 0.903 |
SL | INC | 0.884 |
P1E | SL | 0.864 |
SL | RP1 | 0.859 |
SL | EM | 0.848 |
BMI2 | INC | 0.846 |
LOTE | FTA | 0.843 |
EG | FV | 0.831 |
BMI1 | BMI2 | 0.815 |
SEX | EM | 0.772 |
FS | INC | 0.732 |
TV | RP1 | 0.719 |
BMI1 | BWZ | 0.714 |
SE | BMI2 | 0.688 |
HSD | HF | 0.683 |
BMI1 | FS | 0.613 |
FH | DP1 | 0.555 |
SL | DP1 | 0.503 |
FV | FTA | 0.496 |
P2E | P1E | 0.490 |
P1E | SE | 0.486 |
TV | HSD | 0.471 |
P2E | SE | 0.444 |
FH | SL | 0.427 |
BMI1 | FH | 0.406 |
P1E | FS | 0.365 |
EM | RP1 | 0.343 |
BMI1 | TV | 0.298 |
FTA | EM | 0.292 |
INC | RP1 | 0.287 |
HF | SL | 0.284 |
FTA | SL | 0.179 |
FH | RP1 | 0.148 |