Table 6 Fitted prior and conditional marginal distributions in Naïve Bayes

From: Interpretable personalized surgical recommendation with joint consideration of multiple decisional dimensions

Surgery

Priori probabilities

Conditional probabilities

Age

BMI

POP-Q Ba

POP-Q C

POP-Q Bp

ATVM

0.31

N(63.55,5.40)

N(24.52,2.59)

N(4.06,1.60)

N(2.18,3.06)

N(-0.75,1.71)

PTVM

0.03

N(59.17,7.33)

N(25.65,5.19)

N(0.52,3.55)

N(-1.00,5.30)

N(3.64,1.74)

SC

0.14

N(51.02,6.28)

N(24.97,3.46)

N(3.56,2.15)

N(3.76,2.42)

N(0.56,2.55)

ULS

0.21

N(49.36,9.67)

N(24.24,3.02)

N(-0.26,1.44)

N(2.07,2.11)

N(-1.68,0.74)

SSLF

0.14

N(58.47,8.10)

N(24.93,2.65)

N(1.51,2.24)

N(2.57,2.18)

N(-1.37,1.07)

Colpocleisis

0.16

N(72.89,5.43)

N(24.45,3.18)

N(3.83,1.83)

N(2.07,3.05)

N(-0.03,2.52)

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