Framingham GUI Simulation
Calculate Framingham risk score based on given input parameters and variations.
1"""
2Calculate Framingham risk score based on given input parameters and variations.
3"""
4from biomodel.models import Framingham
5from biomodel.gui import InterfaceModel
6from biomodel.biomodel import OMOPId
7
8if __name__ == '__main__':
9
10 sex = OMOPId("sex")
11 age = OMOPId("age")
12 coltot = OMOPId(4224820)
13 hdl = OMOPId(4011133)
14 tas = OMOPId(4152194)
15 tad = OMOPId(4154790)
16 smoke = OMOPId(1585856)
17 diab = OMOPId(35817874)
18
19 current = {
20 sex: 1,
21 age: 50,
22 coltot: 250,
23 hdl: 23,
24 tas: 200,
25 tad: 100,
26 smoke: 1,
27 diab: 1,
28 }
29
30 variation = {
31 "No smoke": {smoke: 0},
32 "No smoke & CH control": {smoke: 0, coltot: 180, hdl: 50},
33 "Full control": {
34 coltot: 180,
35 hdl: 50,
36 tas: 125,
37 tad: 80,
38 smoke: 0,
39 },
40 }
41 model = InterfaceModel(Framingham(), current, variation)
42 model.run()
