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Commit 4d0d87b4 authored by herrTilda's avatar herrTilda
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IQMtools/IQMlite/tools/interpolation/interpcseIQM.mexw64
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IQMtools/IQMlite/tools/interpolation/interpcseSlopeIQM.mexw64
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IQMtools/IQMlite/tools/optimization/auxiliary/isres/isrsort.mexw64
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IQMtools/IQMpro/tools/01-MEXmodels/CVODEMEX/lib/CVODEmex25.lib
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PlotAllResults.m
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......@@ -4,11 +4,13 @@ close all
Setup
cd ./bp-simple-model-longterm
cd ./blood-pressure-model
main_SimulateAndPlot_fitToData_age_drugs
main_CrossValidation_ageData
cd ..
cd ./insulin-resistans-model
simulateScenarios
cd ..
Setup.m
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......@@ -5,6 +5,6 @@ if ~exist('IQMsimulate','file')
end
addpath(genpath('./insulin-resistans-model'))
addpath(genpath('./bp-simple-model-longterm'))
addpath(genpath('./ensemble-age-models-for-short-term-ischemic-stroke-risk-prediction'))
addpath(genpath('./blood-pressure-model'))
addpath(genpath('./ensemble-risk-model'))
addpath(genpath('./IQMtools'))
blood-pressure-model/bp_age.mexw64 0 → 100644
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File added
blood-pressure-model/main_CrossValidation_ageData.m
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%% Main script to simulate and plot the cross validation with the framingham data
% IQM toolbox is needed to run the simulation
close all
clear
%% Settings
......@@ -40,12 +39,11 @@ time = data.time;
drugparams = [1,20,8,0];
simulationsAge = cell(length(optParams),4);
costs = zeros(length(optParams),4);
ic_PWV = 5;
for p = 1:numValidations
for d = 1:4
ic = [data.SBP(1,d),data.DBP(1,d)];
params = [optParams{p}, ic,drugparams];
sim = model(time,[ic,ic_PWV],params);
sim = model(time,ic,params);
simulationsAge{p,d} = sim;
indata.SBP = data.SBP(:,d);
......@@ -53,7 +51,7 @@ for p = 1:numValidations
indata.time = data.time;
indata.sd_SBP = data.sd_SBP;
indata.sd_DBP = data.sd_DBP;
costs(p,d) = costFunc_age(params,model,[ic,ic_PWV],indata);
costs(p,d) = costFunc_age(params,model,ic,indata);
end
end
degreesOfFreedom_leaveOneOut = length(data.time)*2*3;
......
insulin-resistans-model/Scenario 6.csv 0 → 100644
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AGE,SEX,BMI,CPD,DBP,SBP,DMRX,AF_beforestroke,HEIGHT,STROKE
40,1,26.3257560262966,4,83,131,1,1,1.85,0
41,1,25.4022669721818,4,83.2515224340113,131.706128900128,1,1,1.85,0
42,1,24.7974845027982,4,83.4783216365208,132.412257800256,1,1,1.85,0
43,1,24.3901485620962,4,83.6802328173381,133.118386700383,1,1,1.85,0
44,1,24.1192997139422,4,83.8572548380837,133.824515600511,1,1,1.85,0
45,1,23.9408030768439,4,84.009385691474,134.530644500639,1,1,1.85,0
46,1,23.8239621614812,4,84.1366270164967,135.236773400767,1,1,1.85,0
47,1,23.7478103025114,4,84.2389771817659,135.942902300895,1,1,1.85,0
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49,1,23.6662227760584,4,84.3690055047935,137.35516010115,1,1,1.85,0
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51,1,23.6319688650419,4,84.3994719927401,138.767417901406,1,1,1.85,0
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53,1,23.61762637656,4,84.3303744440044,140.179675701662,1,1,1.85,0
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59,1,23.6080729095618,4,83.5257057399095,144.416449102429,1,1,1.85,0
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61,1,23.6076400409292,4,83.0583561990775,145.828706902684,1,1,1.85,0
62,1,23.6075303752809,4,82.7873453094898,146.534835802812,1,1,1.85,0
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65,1,23.6073850095071,4,81.82496816404,148.653222503196,1,1,1.85,0
66,1,23.607366142035,4,81.4543942899945,149.359351403324,1,1,1.85,0
67,1,23.6073539746231,4,81.0589296698345,150.065480303451,1,1,1.85,0
68,1,23.607346133222,4,80.6385743035601,150.771609203579,1,1,1.85,0
69,1,23.6073410844947,4,80.1933281911712,151.477738103707,1,1,1.85,0
70,1,23.6073378319915,4,79.7231913326679,152.183867003835,1,1,1.85,0
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72,1,23.6073344691548,4,78.7082452856707,153.59612480409,1,1,1.85,0
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74,1,23.6073331298334,4,77.5937355469681,155.008382604346,1,1,1.85,0
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78,1,23.6073322017974,4,75.0660267414981,157.832898204857,1,1,1.85,0
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80,1,23.6073320627517,4,73.6528276747307,159.245156005113,1,1,1.85,0
insulin-resistans-model/Scenario 1.csv 0 → 100644
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AGE,SEX,BMI,CPD,DBP,SBP,DMRX,AF_beforestroke,HEIGHT,STROKE
40,1,26.3257560262966,0,83,131,1,0,1.85,0
41,1,29.943127277558,0,83.2515224340113,131.706128900128,1,0,1.85,0
42,1,32.3736158288222,0,83.4783216365208,132.412257800256,1,0,1.85,0
43,1,34.1577290052407,0,83.6802328173381,133.118386700383,1,0,1.85,0
44,1,35.4983275216924,0,83.8572548380837,133.824515600511,1,0,1.85,0
45,1,36.5201876024371,0,84.009385691474,134.530644500639,1,0,1.85,0
46,1,37.3064860335265,0,84.1366270164967,135.236773400767,1,0,1.85,0
47,1,37.9154944853593,0,84.2389771817659,135.942902300895,1,0,1.85,0
48,1,38.3894174851023,0,84.3164365289913,136.649031201023,1,0,1.85,0
49,1,38.7594979404474,0,84.3690055047935,137.35516010115,1,0,1.85,0
50,1,39.0492348200904,0,84.3966841091727,138.061289001278,1,0,1.85,0
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52,1,39.4550264146746,0,84.3773685445931,139.473546801534,1,0,1.85,0
53,1,39.5954342976941,0,84.3303744440044,140.179675701662,1,0,1.85,0
54,1,39.7059768615753,0,84.2584896909741,140.88580460179,1,0,1.85,0
55,1,39.7930452536502,0,84.1617142855021,141.591933501917,1,0,1.85,0
56,1,39.861695368586,0,84.0400482275885,142.298062402045,1,0,1.85,0
57,1,39.9158468734117,0,83.8934915172334,143.004191302173,1,0,1.85,0
58,1,39.9585567866277,0,83.7220441544366,143.710320202301,1,0,1.85,0
59,1,39.9922505713036,0,83.5257057399095,144.416449102429,1,0,1.85,0
60,1,40.0188387928739,0,83.3044763425507,145.122578002557,1,0,1.85,0
61,1,40.0398236595881,0,83.0583561990775,145.828706902684,1,0,1.85,0
62,1,40.0563874951613,0,82.7873453094898,146.534835802812,1,0,1.85,0
63,1,40.0694630373168,0,82.4914436737877,147.24096470294,1,0,1.85,0
64,1,40.079786019062,0,82.1706512919711,147.947093603068,1,0,1.85,0
65,1,40.0879361076448,0,81.82496816404,148.653222503196,1,0,1.85,0
66,1,40.0943712440282,0,81.4543942899945,149.359351403324,1,0,1.85,0
67,1,40.0994522729592,0,81.0589296698345,150.065480303451,1,0,1.85,0
68,1,40.1034644152361,0,80.6385743035601,150.771609203579,1,0,1.85,0
69,1,40.1066324951056,0,80.1933281911712,151.477738103707,1,0,1.85,0
70,1,40.1091341987291,0,79.7231913326679,152.183867003835,1,0,1.85,0
71,1,40.1111096907776,0,79.22816372805,152.889995903963,1,0,1.85,0
72,1,40.1126696808481,0,78.7082452856707,153.59612480409,1,0,1.85,0
73,1,40.1139015833904,0,78.1634358049888,154.302253704218,1,0,1.85,0
74,1,40.1148743838661,0,77.5937355469681,155.008382604346,1,0,1.85,0
75,1,40.1156426124609,0,76.9991445116087,155.714511504474,1,0,1.85,0
76,1,40.1162492648059,0,76.3796626989106,156.420640404602,1,0,1.85,0
77,1,40.1167283456082,0,75.7352901088737,157.12676930473,1,0,1.85,0
78,1,40.1171066687799,0,75.0660267414981,157.832898204857,1,0,1.85,0
79,1,40.1174054198143,0,74.3718725967838,158.539027104985,1,0,1.85,0
80,1,40.1176413322545,0,73.6528276747307,159.245156005113,1,0,1.85,0
insulin-resistans-model/Scenario 2.csv 0 → 100644
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AGE,SEX,BMI,CPD,DBP,SBP,DMRX,AF_beforestroke,HEIGHT,STROKE
40,1,26.3257560262966,0,83,131,1,0,1.85,0
41,1,25.4022669721818,0,83.2515224340113,131.706128900128,1,0,1.85,0
42,1,24.7974845027982,0,83.4783216365208,132.412257800256,1,0,1.85,0
43,1,24.3901485620962,0,83.6802328173381,133.118386700383,1,0,1.85,0
44,1,24.1192997139422,0,83.8572548380837,133.824515600511,1,0,1.85,0
45,1,23.9408030768439,0,84.009385691474,134.530644500639,1,0,1.85,0
46,1,23.8239621614812,0,84.1366270164967,135.236773400767,1,0,1.85,0
47,1,23.7478103025114,0,84.2389771817659,135.942902300895,1,0,1.85,0
48,1,23.6983220363727,0,84.3164365289913,136.649031201023,1,0,1.85,0
49,1,23.6662227760584,0,84.3690055047935,137.35516010115,1,0,1.85,0
50,1,23.6454285068424,0,84.3966841091727,138.061289001278,1,0,1.85,0
51,1,23.6319688650419,0,84.3994719927401,138.767417901406,1,0,1.85,0
52,1,23.6232609614442,0,84.3773685445931,139.473546801534,1,0,1.85,0
53,1,23.61762637656,0,84.3303744440044,140.179675701662,1,0,1.85,0
54,1,23.613983153833,0,84.2584896909741,140.88580460179,1,0,1.85,0
55,1,23.6116296565225,0,84.1617142855021,141.591933501917,1,0,1.85,0
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57,1,23.6091189704283,0,83.8934915172334,143.004191302173,1,0,1.85,0
58,1,23.6084819766334,0,83.7220441544366,143.710320202301,1,0,1.85,0
59,1,23.6080729095618,0,83.5257057399095,144.416449102429,1,0,1.85,0
60,1,23.607809798007,0,83.3044763425507,145.122578002557,1,0,1.85,0
61,1,23.6076400409292,0,83.0583561990775,145.828706902684,1,0,1.85,0
62,1,23.6075303752809,0,82.7873453094898,146.534835802812,1,0,1.85,0
63,1,23.6074597239108,0,82.4914436737877,147.24096470294,1,0,1.85,0
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65,1,23.6073850095071,0,81.82496816404,148.653222503196,1,0,1.85,0
66,1,23.607366142035,0,81.4543942899945,149.359351403324,1,0,1.85,0
67,1,23.6073539746231,0,81.0589296698345,150.065480303451,1,0,1.85,0
68,1,23.607346133222,0,80.6385743035601,150.771609203579,1,0,1.85,0
69,1,23.6073410844947,0,80.1933281911712,151.477738103707,1,0,1.85,0
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77,1,23.6073323302679,0,75.7352901088737,157.12676930473,1,0,1.85,0
78,1,23.6073322017974,0,75.0660267414981,157.832898204857,1,0,1.85,0
79,1,23.6073321146309,0,74.3718725967838,158.539027104985,1,0,1.85,0
80,1,23.6073320627517,0,73.6528276747307,159.245156005113,1,0,1.85,0
insulin-resistans-model/Scenario 3.csv 0 → 100644
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AGE,SEX,BMI,CPD,DBP,SBP,DMRX,AF_beforestroke,HEIGHT,STROKE
40,1,26.3257560262966,0,83,131,0,0,1.85,0
41,1,29.943127277558,0,83.2515224340113,131.706128900128,0,0,1.85,0
42,1,32.3736158288222,0,83.4783216365208,132.412257800256,0,0,1.85,0
43,1,34.1577290052407,0,83.6802328173381,133.118386700383,0,0,1.85,0
44,1,35.4983275216924,0,83.8572548380837,133.824515600511,0,0,1.85,0
45,1,36.5201876024371,0,84.009385691474,134.530644500639,0,0,1.85,0
46,1,37.3064860335265,0,84.1366270164967,135.236773400767,0,0,1.85,0
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51,1,39.2765084953423,0,84.3994719927401,138.767417901406,0,0,1.85,0
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58,1,39.9585567866277,0,83.7220441544366,143.710320202301,0,0,1.85,0
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79,1,40.1174054198143,0,74.3718725967838,158.539027104985,0,0,1.85,0
80,1,40.1176413322545,0,73.6528276747307,159.245156005113,0,0,1.85,0
insulin-resistans-model/Scenario 4.csv 0 → 100644
+ 42
− 0
View file @ 4d0d87b4
AGE,SEX,BMI,CPD,DBP,SBP,DMRX,AF_beforestroke,HEIGHT,STROKE
40,1,26.3257560262966,0,83,131,0,0,1.85,0
41,1,29.943127277558,0,83.2515224340113,131.706128900128,0,0,1.85,0
42,1,32.3736158288222,0,83.4783216365208,132.412257800256,0,0,1.85,0
43,1,34.1577290052407,0,83.6802328173381,133.118386700383,0,0,1.85,0
44,1,35.4983275216924,0,83.8572548380837,133.824515600511,0,0,1.85,0
45,1,36.5201876024371,0,84.009385691474,134.530644500639,0,0,1.85,0
46,1,37.3064860335265,0,83.1364522587257,131.236773400767,0,0,1.85,0
47,1,37.9154944853593,0,82.2387974321055,127.942902300895,0,0,1.85,0
48,1,38.3894174851023,0,81.316254656525,124.649031201023,0,0,1.85,0
49,1,38.7594979404474,0,80.3688227195315,121.35516010115,0,0,1.85,0
50,1,39.0492348200904,0,79.396499624648,118.061289001278,0,0,1.85,0
51,1,39.2765084953423,0,79.3991213407679,118.767417901406,0,0,1.85,0
52,1,39.4550264146746,0,79.3770130637109,119.473546801534,0,0,1.85,0
53,1,39.5954342976941,0,79.330016409342,120.179675701662,0,0,1.85,0
54,1,39.7059768615753,0,79.2581305049222,120.88580460179,0,0,1.85,0
55,1,39.7930452536502,0,79.1613536140297,121.591933501917,0,0,1.85,0
56,1,39.861695368586,0,79.0396871947697,122.298062402045,0,0,1.85,0
57,1,39.9158468734117,0,78.8931292842011,123.004191302173,0,0,1.85,0
58,1,39.9585567866277,0,78.7216808124743,123.710320202301,0,0,1.85,0
59,1,39.9922505713036,0,78.5253419693245,124.416449102429,0,0,1.85,0
60,1,40.0188387928739,0,78.3041127547515,125.122578002557,0,0,1.85,0
61,1,40.0398236595881,0,78.0579925210851,125.828706902684,0,0,1.85,0
62,1,40.0563874951613,0,77.786981211763,126.534835802812,0,0,1.85,0
63,1,40.0694630373168,0,77.4910792499992,127.24096470294,0,0,1.85,0
64,1,40.079786019062,0,77.1702866357939,127.947093603068,0,0,1.85,0
65,1,40.0879361076448,0,76.8246033691469,128.653222503196,0,0,1.85,0
66,1,40.0943712440282,0,76.4540294500583,129.359351403324,0,0,1.85,0
67,1,40.0994522729592,0,76.0585648785281,130.065480303451,0,0,1.85,0
68,1,40.1034644152361,0,75.6382095957391,130.771609203579,0,0,1.85,0
69,1,40.1066324951056,0,75.1929630592225,131.477738103707,0,0,1.85,0
70,1,40.1091341987291,0,74.7228257765914,132.183867003835,0,0,1.85,0
71,1,40.1111096907776,0,74.2277977478459,132.889995903963,0,0,1.85,0
72,1,40.1126696808481,0,73.707878972986,133.59612480409,0,0,1.85,0
73,1,40.1139015833904,0,73.1630694520115,134.302253704218,0,0,1.85,0
74,1,40.1148743838661,0,72.5933691849227,135.008382604346,0,0,1.85,0
75,1,40.1156426124609,0,71.9987781717193,135.714511504474,0,0,1.85,0
76,1,40.1162492648059,0,71.3792964124015,136.420640404602,0,0,1.85,0
77,1,40.1167283456082,0,70.7349239069693,137.12676930473,0,0,1.85,0
78,1,40.1171066687799,0,70.0656606554225,137.832898204857,0,0,1.85,0
79,1,40.1174054198143,0,69.3715066577614,138.539027104985,0,0,1.85,0
80,1,40.1176413322545,0,68.6524619139857,139.245156005113,0,0,1.85,0
insulin-resistans-model/Scenario 5.csv 0 → 100644
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− 0
View file @ 4d0d87b4
AGE,SEX,BMI,CPD,DBP,SBP,DMRX,AF_beforestroke,HEIGHT,STROKE
40,1,26.3257560262966,4,83,131,1,1,1.85,0
41,1,29.943127277558,4,83.2515224340113,131.706128900128,1,1,1.85,0
42,1,32.3736158288222,4,83.4783216365208,132.412257800256,1,1,1.85,0
43,1,34.1577290052407,4,83.6802328173381,133.118386700383,1,1,1.85,0
44,1,35.4983275216924,4,83.8572548380837,133.824515600511,1,1,1.85,0
45,1,36.5201876024371,4,84.009385691474,134.530644500639,1,1,1.85,0
46,1,37.3064860335265,4,83.1364522587257,131.236773400767,1,1,1.85,0
47,1,37.9154944853593,4,82.2387974321055,127.942902300895,1,1,1.85,0
48,1,38.3894174851023,4,81.316254656525,124.649031201023,1,1,1.85,0
49,1,38.7594979404474,4,80.3688227195315,121.35516010115,1,1,1.85,0
50,1,39.0492348200904,4,79.396499624648,118.061289001278,1,1,1.85,0
51,1,39.2765084953423,4,79.3991213407679,118.767417901406,1,1,1.85,0
52,1,39.4550264146746,4,79.3770130637109,119.473546801534,1,1,1.85,0
53,1,39.5954342976941,4,79.330016409342,120.179675701662,1,1,1.85,0
54,1,39.7059768615753,4,79.2581305049222,120.88580460179,1,1,1.85,0
55,1,39.7930452536502,4,79.1613536140297,121.591933501917,1,1,1.85,0
56,1,39.861695368586,4,79.0396871947697,122.298062402045,1,1,1.85,0
57,1,39.9158468734117,4,78.8931292842011,123.004191302173,1,1,1.85,0
58,1,39.9585567866277,4,78.7216808124743,123.710320202301,1,1,1.85,0
59,1,39.9922505713036,4,78.5253419693245,124.416449102429,1,1,1.85,0
60,1,40.0188387928739,4,78.3041127547515,125.122578002557,1,1,1.85,0
61,1,40.0398236595881,4,78.0579925210851,125.828706902684,1,1,1.85,0
62,1,40.0563874951613,4,77.786981211763,126.534835802812,1,1,1.85,0
63,1,40.0694630373168,4,77.4910792499992,127.24096470294,1,1,1.85,0
64,1,40.079786019062,4,77.1702866357939,127.947093603068,1,1,1.85,0
65,1,40.0879361076448,4,76.8246033691469,128.653222503196,1,1,1.85,0
66,1,40.0943712440282,4,76.4540294500583,129.359351403324,1,1,1.85,0
67,1,40.0994522729592,4,76.0585648785281,130.065480303451,1,1,1.85,0
68,1,40.1034644152361,4,75.6382095957391,130.771609203579,1,1,1.85,0
69,1,40.1066324951056,4,75.1929630592225,131.477738103707,1,1,1.85,0
70,1,40.1091341987291,4,74.7228257765914,132.183867003835,1,1,1.85,0
71,1,40.1111096907776,4,74.2277977478459,132.889995903963,1,1,1.85,0
72,1,40.1126696808481,4,73.707878972986,133.59612480409,1,1,1.85,0
73,1,40.1139015833904,4,73.1630694520115,134.302253704218,1,1,1.85,0
74,1,40.1148743838661,4,72.5933691849227,135.008382604346,1,1,1.85,0
75,1,40.1156426124609,4,71.9987781717193,135.714511504474,1,1,1.85,0
76,1,40.1162492648059,4,71.3792964124015,136.420640404602,1,1,1.85,0
77,1,40.1167283456082,4,70.7349239069693,137.12676930473,1,1,1.85,0
78,1,40.1171066687799,4,70.0656606554225,137.832898204857,1,1,1.85,0
79,1,40.1174054198143,4,69.3715066577614,138.539027104985,1,1,1.85,0
80,1,40.1176413322545,4,68.6524619139857,139.245156005113,1,1,1.85,0
insulin-resistans-model/insulin_resistance.mexw64 0 → 100644
+ 0
− 0
View file @ 4d0d87b4
File added
insulin-resistans-model/simulateScenarios.m
+ 1
− 1
View file @ 4d0d87b4
......@@ -14,7 +14,7 @@ modelIR = str2func(modelName);
modelNameBP = 'bp_age';
cd ..
cd bp-simple-model-longterm\
cd blood-pressure-model\
IQMmakeMEXmodel(IQMmodel([modelNameBP '.txt']))
modelBP=str2func(modelNameBP);
[pNamesBP,paramsBP]=IQMparameters(modelBP);
......
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