Research Article

Explainable and Personalized Medical Cost Prediction Based on Multitask Learning over Mobile Devices

Table 1

Patient feature categories classification.

FeaturesFeature categoriesValues

Age25 -0
25–401
40–502
50–603
60+4
T-stageT00
Tis1
Tx2
T13
T24
T35
T46
Histologic classificationInvasive carcinoma0
Invasive ductal carcinoma1
Papillary carcinoma2
Infiltrating lobular carcinoma3
Medullary carcinoma4
N-stageN00
N11
N22
N33
Nx4
M-stageM00
M11
Mx2
Complication and comorbidityserious0
General1
2
HER200
1+1
2+2
3+3