S2 Text. - PLOS

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May 26, 2016 - ...... cary. .
S2 Text. Predictive Modelling Markup Language (PMML) file For most current PMML files see: https://github.com/OHRImHealth/predictive-algorithms MPoRT male model
Mortality (all-cause) Population Risk Tool (MPoRT) Doug Manuel 2016-05-26 16:56:50


fem 1 male 0 fem 80 80 fem 0 male 65

65 0 hs2 ed2 1 0 hs1 ed2 hs1 ed1 hdg1

1 0 dep1 1 0 dep2 1 0 imm2 1 15 1 imm1

15 0 0 imm2 15 30 1 imm1 15 30 0 0

imm2 30 45 1 imm1 30 45 0 0 smk3 evdn1

20 1 smk3 evdn2 s1001 1 0 smk3 evdn1 20 1 0

0 0 0 smk1 smk3 evdn2 s1002 0 stpn1 0 stpn2 1 stpn3 2

stpn4 smk1 20 1 smk2 1 smk3 evdn1 20 1

smk3 evdn2 s1001 1 0 smk1 20 1 smk3 evdn1 20 1 0

1 fem 26 1 male 15 1 fem

26 1 male 15 Yes 1 0 0 0

lpa1 0.2167 lpa2 0.3833 lpa3 0.75 lpa4 1 0 Yes 1 0 0 0

lpa15 0.2167 lpa30 0.3833 lpa60 0.75 lpa61 1 0 Yes 1 0 0

0 lpa15 0.2167 lpa30 0.3833 lpa60 0.75 lpa61 1 0 Yes 1 0 0

0 lpa15 0.2167 lpa30 0.3833 lpa60 0.75 lpa61 1 0 Yes 1 0 0

0 lpa15 0.2167 lpa30 0.3833 lpa60 0.75 lpa61 1 0 Yes 1 0 0

0 lpa15 0.2167 lpa30 0.3833 lpa60 0.75 lpa61 1 0 Yes 1 0 0

0 lpa15 0.2167 lpa30 0.3833 lpa60 0.75 lpa61 1 0 Yes 1 0

0 0 lpa15 0.2167 lpa30 0.3833 lpa60 0.75 lpa61 1 0 Yes 1 0

0 0 lpa15 0.2167 lpa30 0.3833 lpa60 0.75 lpa61 1 0 Yes 1 0

0 0 lpa15 0.2167 lpa30 0.3833 lpa60 0.75 lpa61 1 0 Yes 1 0

0 0 lpa15 0.2167 lpa30 0.3833 lpa60 0.75 lpa61 1 0 Yes

1 0 0 0 lpa15 0.2167 lpa30 0.3833 lpa60 0.75 lpa61 1 0

Yes 1 0 0 0 lpa15 0.2167 lpa30 0.3833 lpa60 0.75 lpa61 1 0

Yes 1 0 0 0 lpa15 0.2167 lpa30 0.3833 lpa60 0.75 lpa61 1 0

Yes 1 0 0 0 lpa15 0.2167 lpa30 0.3833 lpa60 0.75 lpa61 1 0

Yes 1 0 0 0 lpa15 0.2167 lpa30 0.3833 lpa60 0.75 lpa61 1 0

Yes 1 0 0 0 lpa15 0.2167 lpa30 0.3833 lpa60 0.75 lpa61 1 0

Yes 1 0 0 0 lpa15 0.2167 lpa30 0.3833 lpa60 0.75 lpa61

1 0 Yes 1 0 0 0 lpa15 0.2167 lpa30 0.3833 lpa60 0.75

lpa61 1 0 Yes 1 0 0 0 lpa15 0.2167 lpa30 0.3833 lpa60 0.75

lpa61 1 0 Yes 1 0 0 0 lpa15 0.2167 lpa30 0.3833 lpa60

0.75 lpa61 1 0 Yes 1 0 0 0 lpa15 0.2167 lpa30 0.3833

lpa60 0.75 lpa61 1 0 3

90 3 90 3 90 4 90

3 90 3 90 6 90

4 90 5 90 9.5 90 4 90

4 90 4 90 2 90 3

90 4 90 3 90 3 90 5

90 6 90 5 90 4 90 10

10 dev2 dev1 dany1 0

dev2 db5 db6 1 5 1 1

5 1 5 1 5 1 5 1

5 1 1 0 0 dev1 dany1 3

21 1 1 dev1 dany1 2 14 1 0 dev1 dany1

3 0 1 dev1 dany1 2 0 0 dev1 dany1 21 0

1 dev1 dany1 14 0 dev2 dany2 0

1 0 dev1 dany1 21 1 1 dev1 dany1 14

1 0 dev1 dany1 21 0 1 dev1 dany1 14 0 dev2

dany2 0 juid juiw 7 juim 30 juiy 365 0

frtd frtw 7 frtm 30 frty 365 0 sald salw

7 salm 30 saly 365 0 potd potw 7 potm 30

poty 365 0 card carw 7 carm 30 cary 365 0

vegd vegw 7 vegm 30 vegy 365 0

8 98 8 7 0 1 7 1 0 0 0 7 7

1 0 7 5 1 0 2 1 3 2 4 3 5 4 5 4

6 5 1 0 0 0 0 2 2 2 0 0

10 10 hd1 1 hd2 0 diab1 1 diab2 0 stk1 1

stk2 0 can1 1 can2 0 2.2046226218 12 39.3701

35 0 0 35 0 35

-1.0





MPoRT female model
Mortality (all-cause) Population Risk Tool (MPoRT) Doug Manuel 2016-05-26 17:01:13


fem 1 male 0 fem 80 80 fem

0 male 65 65 0 hs2 ed2 1 0 hs1 ed2

hs1 ed1 hdg1 1 0 dep1 1 0 dep2 1 0 imm2 1

15 1 imm1 15 0 0 imm2 15 30 1 imm1 15

30 0 0 imm2 30 45 1 imm1 30 45 0 0

smk3 evdn1 20 1 smk3 evdn2 s1001 1 0 smk3 evdn1

20 1 0 0 0 0 smk1 smk3 evdn2 s1002 0 stpn1 0

stpn2 1 stpn3 2 stpn4 smk1 20 1 smk2 1 smk3

evdn1 20 1 smk3 evdn2 s1001 1 0 smk1 20 1 smk3

evdn1 20 1 0 1 fem 26 1 male 15

1 fem 26 1 male 15 Yes 1 0 0

0 lpa1 0.2167 lpa2 0.3833 lpa3 0.75 lpa4 1 0 Yes 1 0

0 0 lpa15 0.2167 lpa30 0.3833 lpa60 0.75 lpa61 1 0 Yes 1 0

0 0 lpa15 0.2167 lpa30 0.3833 lpa60 0.75 lpa61 1 0 Yes 1 0

0 0 lpa15 0.2167 lpa30 0.3833 lpa60 0.75 lpa61 1 0 Yes 1 0

0 0 lpa15 0.2167 lpa30 0.3833 lpa60 0.75 lpa61 1 0 Yes

1 0 0 0 lpa15 0.2167 lpa30 0.3833 lpa60 0.75 lpa61 1 0

Yes 1 0 0 0 lpa15 0.2167 lpa30 0.3833 lpa60 0.75 lpa61 1 0

Yes 1 0 0 0 lpa15 0.2167 lpa30 0.3833 lpa60 0.75 lpa61 1 0

Yes 1 0 0 0 lpa15 0.2167 lpa30 0.3833 lpa60 0.75 lpa61 1 0

Yes 1 0 0 0 lpa15 0.2167 lpa30 0.3833 lpa60 0.75 lpa61 1 0

Yes 1 0 0 0 lpa15 0.2167 lpa30 0.3833 lpa60 0.75 lpa61 1 0

Yes 1 0 0 0 lpa15 0.2167 lpa30 0.3833 lpa60 0.75 lpa61

1 0 Yes 1 0 0 0 lpa15 0.2167 lpa30 0.3833 lpa60 0.75

lpa61 1 0 Yes 1 0 0 0 lpa15 0.2167 lpa30 0.3833 lpa60 0.75

lpa61 1 0 Yes 1 0 0 0 lpa15 0.2167 lpa30 0.3833 lpa60

0.75 lpa61 1 0 Yes 1 0 0 0 lpa15 0.2167 lpa30 0.3833

lpa60 0.75 lpa61 1 0 Yes 1 0 0 0 lpa15 0.2167 lpa30 0.3833

lpa60 0.75 lpa61 1 0 Yes 1 0 0 0 lpa15 0.2167 lpa30

0.3833 lpa60 0.75 lpa61 1 0 Yes 1 0 0 0 lpa15 0.2167

lpa30 0.3833 lpa60 0.75 lpa61 1 0 Yes 1 0 0 0 lpa15 0.2167

lpa30 0.3833 lpa60 0.75 lpa61 1 0 Yes 1 0 0 0 lpa15

0.2167 lpa30 0.3833 lpa60 0.75 lpa61 1 0 Yes 1 0 0 0

lpa15 0.2167 lpa30 0.3833 lpa60 0.75 lpa61 1 0

3 90 3 90 3 90

4 90 3 90 3 90

6 90 4 90 5 90 9.5 90

4 90 4 90 4 90 2 90

3 90 4 90 3 90 3

90 5 90 6 90 5 90 4

90 10 10 dev2 dev1 dany1

0 dev2 db5 db6 1 5 1

1 5 1 5 1 5 1

5 1 5 1 1 0 0

dev1 dany1 3 21 1 1 dev1 dany1 2 14 1

0 dev1 dany1 3 0 1 dev1 dany1 2 0 0 dev1

dany1 21 0 1 dev1 dany1 14 0 dev2 dany2 0

1 0 dev1 dany1 21 1 1

dev1 dany1 14 1 0 dev1 dany1 21 0 1 dev1 dany1

14 0 dev2 dany2 0 juid juiw 7 juim 30

juiy 365 0 frtd frtw 7 frtm 30 frty 365 0

sald salw 7 salm 30 saly 365 0 potd potw 7

potm 30 poty 365 0 card carw 7 carm 30 cary

365 0 vegd vegw 7 vegm 30 vegy 365 0

8 98 8 7 0 1 7 1 0 0

0 7 7 1 0 7 5 1 0 2 1 3 2 4 3

5 4 5 4 6 5 1 0 0 0 0 2 2

2 0 0 10 10 hd1 1 hd2 0 diab1 1 diab2 0

stk1 1 stk2 0 can1 1 can2 0

2.2046226218 12 39.3701 35 0 0 35 0 35

-1.0