Пример #1
0
    def setUp(self):
        # 2740200061fos
        self._test_case_one = Person(
            age=54.060233,
            gender=NHANESGender.FEMALE,
            raceEthnicity=NHANESRaceEthnicity.NON_HISPANIC_WHITE,
            sbp=120,
            dbp=80,
            # guessingon the centering standard for glucose...may have to check
            a1c=Person.convert_fasting_glucose_to_a1c(100),
            hdl=50,
            totChol=150,
            ldl=90,
            trig=150,
            bmi=26.6,
            waist=94,
            anyPhysicalActivity=1,
            education=Education.HIGHSCHOOLGRADUATE,
            smokingStatus=SmokingStatus.NEVER,
            alcohol=AlcoholCategory.ONETOSIX,
            antiHypertensiveCount=0,
            statin=0,
            otherLipidLoweringMedicationCount=0,
            creatinine=0,
            initializeAfib=TestDementiaModel.initializeAfib,
            initializationRepository=InitializationRepository(),
        )
        self._test_case_one._gcp[0] = 58.68
        self._test_case_one._gcp.append(self._test_case_one._gcp[0] -
                                        1.1078128)

        # 2740201178fos
        self._test_case_two = Person(
            age=34.504449,
            gender=NHANESGender.MALE,
            raceEthnicity=NHANESRaceEthnicity.NON_HISPANIC_WHITE,
            sbp=120,
            dbp=80,
            # guessingon the centering standard for glucose...may have to check
            a1c=Person.convert_fasting_glucose_to_a1c(100),
            hdl=50,
            totChol=150,
            ldl=90,
            trig=150,
            bmi=26.6,
            waist=94,
            anyPhysicalActivity=1,
            education=Education.SOMECOLLEGE,
            smokingStatus=SmokingStatus.NEVER,
            alcohol=AlcoholCategory.ONETOSIX,
            antiHypertensiveCount=0,
            statin=0,
            otherLipidLoweringMedicationCount=0,
            creatinine=0,
            initializeAfib=TestDementiaModel.initializeAfib,
            initializationRepository=InitializationRepository(),
        )
        self._test_case_two._gcp[0] = 58.68
        self._test_case_two._gcp.append(self._test_case_two._gcp[0] -
                                        1.7339989)

        self._test_case_one_parameteric = Person(
            age=40,
            gender=NHANESGender.MALE,
            raceEthnicity=NHANESRaceEthnicity.NON_HISPANIC_BLACK,
            sbp=120,
            dbp=80,
            # guessingon the centering standard for glucose...may have to check
            a1c=Person.convert_fasting_glucose_to_a1c(100),
            hdl=50,
            totChol=150,
            ldl=90,
            trig=150,
            bmi=26.6,
            waist=94,
            anyPhysicalActivity=1,
            education=Education.LESSTHANHIGHSCHOOL,
            smokingStatus=SmokingStatus.NEVER,
            alcohol=AlcoholCategory.ONETOSIX,
            antiHypertensiveCount=0,
            statin=0,
            otherLipidLoweringMedicationCount=0,
            creatinine=0,
            initializeAfib=TestDementiaModel.initializeAfib,
            initializationRepository=InitializationRepository(),
        )
        self._test_case_one_parameteric._gcp[0] = 25
        # GCP slope is zero
        self._test_case_one_parameteric._gcp.append(
            self._test_case_one._gcp[0])

        # test case 71 in rep_gdta.
        self._test_case_two_parametric = Person(
            age=80,
            gender=NHANESGender.FEMALE,
            raceEthnicity=NHANESRaceEthnicity.NON_HISPANIC_BLACK,
            sbp=120,
            dbp=80,
            # guessingon the centering standard for glucose...may have to check
            a1c=Person.convert_fasting_glucose_to_a1c(100),
            hdl=50,
            totChol=150,
            ldl=90,
            trig=150,
            bmi=26.6,
            waist=94,
            anyPhysicalActivity=1,
            education=Education.COLLEGEGRADUATE,
            smokingStatus=SmokingStatus.NEVER,
            alcohol=AlcoholCategory.ONETOSIX,
            antiHypertensiveCount=0,
            statin=0,
            otherLipidLoweringMedicationCount=0,
            creatinine=0,
            initializeAfib=TestDementiaModel.initializeAfib,
            initializationRepository=InitializationRepository(),
        )
        self._test_case_two_parametric._gcp[0] = 75
        self._test_case_two_parametric._gcp.append(self._test_case_two._gcp[0])

        # test case 72 in rep_gdta.
        self._test_case_three_parametric = Person(
            age=80,
            gender=NHANESGender.FEMALE,
            raceEthnicity=NHANESRaceEthnicity.NON_HISPANIC_WHITE,
            sbp=120,
            dbp=80,
            # guessingon the centering standard for glucose...may have to check
            a1c=Person.convert_fasting_glucose_to_a1c(100),
            hdl=50,
            totChol=150,
            ldl=90,
            trig=150,
            bmi=26.6,
            waist=94,
            anyPhysicalActivity=1,
            education=Education.COLLEGEGRADUATE,
            smokingStatus=SmokingStatus.NEVER,
            alcohol=AlcoholCategory.ONETOSIX,
            antiHypertensiveCount=0,
            statin=0,
            otherLipidLoweringMedicationCount=0,
            creatinine=0,
            initializeAfib=TestDementiaModel.initializeAfib,
            initializationRepository=InitializationRepository(),
        )
        self._test_case_three_parametric._gcp[0] = 75
        self._test_case_three_parametric._gcp.append(
            self._test_case_two._gcp[0])

        self._population_dataframe = init_vectorized_population_dataframe([
            self._test_case_one,
            self._test_case_two,
        ])
Пример #2
0
    def setUp(self):
        self._test_case_one = Person(
            age=65 - 0.828576318 * 10,
            gender=NHANESGender.FEMALE,
            raceEthnicity=NHANESRaceEthnicity.NON_HISPANIC_WHITE,
            sbp=120 + 0.45 * 10,
            dbp=80,
            # guessingon the centering standard for glucose...may have to check
            a1c=Person.convert_fasting_glucose_to_a1c(100 - 1.1 * 10),
            hdl=50,
            totChol=127 - 3.64 * 10,
            ldl=90,
            trig=150,
            bmi=26.6 + 15.30517532,
            waist=94 + 19.3,
            anyPhysicalActivity=1,
            education=Education.COLLEGEGRADUATE,
            smokingStatus=SmokingStatus.NEVER,
            alcohol=AlcoholCategory.ONETOSIX,
            antiHypertensiveCount=1,
            statin=0,
            otherLipidLoweringMedicationCount=0,
            creatinine=0,
            initializeAfib=TestGCPModel.initializeAfib,
        )

        self._test_case_two = Person(
            age=65 - 0.458555784 * 10,
            gender=NHANESGender.MALE,
            raceEthnicity=NHANESRaceEthnicity.NON_HISPANIC_WHITE,
            sbp=120 + 0.3 * 10,
            dbp=80,
            # guessingon the centering standard for glucose...may have to check
            a1c=Person.convert_fasting_glucose_to_a1c(100 + 0.732746529 * 10),
            hdl=50,
            totChol=127 + 1.18 * 10,
            ldl=90,
            trig=150,
            bmi=26.6 + 0.419305619,
            waist=94 - 2.5,
            anyPhysicalActivity=1,
            education=Education.SOMEHIGHSCHOOL,
            smokingStatus=SmokingStatus.NEVER,
            alcohol=AlcoholCategory.ONETOSIX,
            antiHypertensiveCount=0,
            statin=0,
            otherLipidLoweringMedicationCount=0,
            creatinine=0,
            initializeAfib=TestGCPModel.initializeAfib,
        )

        self._test_case_three = Person(
            age=65 - 0.358692676 * 10,
            gender=NHANESGender.FEMALE,
            raceEthnicity=NHANESRaceEthnicity.NON_HISPANIC_BLACK,
            sbp=120 + 2.3 * 10,
            dbp=80,
            # guessingon the centering standard for glucose...may have to check
            a1c=Person.convert_fasting_glucose_to_a1c(100 + 0.8893 * 10),
            hdl=50,
            totChol=127 + 4.7769 * 10,
            ldl=90,
            trig=150,
            bmi=26.6 + 2.717159247,
            waist=94 + 9,
            anyPhysicalActivity=1,
            education=Education.LESSTHANHIGHSCHOOL,
            smokingStatus=SmokingStatus.NEVER,
            alcohol=AlcoholCategory.NONE,
            antiHypertensiveCount=1,
            statin=0,
            otherLipidLoweringMedicationCount=0,
            creatinine=0,
            initializeAfib=TestGCPModel.initializeAfib,
        )
        self._test_case_one._randomEffects["gcp"] = 0
        self._test_case_two._randomEffects["gcp"] = 0
        self._test_case_three._randomEffects["gcp"] = 0
Пример #3
0
    def setUp(self):
        self._black_female_high_cr = Person(
            age=52,
            gender=NHANESGender.FEMALE,
            raceEthnicity=NHANESRaceEthnicity.NON_HISPANIC_BLACK,
            sbp=120,
            dbp=80,
            a1c=Person.convert_fasting_glucose_to_a1c(100),
            hdl=50,
            totChol=150,
            ldl=90,
            trig=150,
            bmi=26.6,
            waist=94,
            anyPhysicalActivity=1,
            education=Education.HIGHSCHOOLGRADUATE,
            smokingStatus=SmokingStatus.NEVER,
            alcohol=AlcoholCategory.ONETOSIX,
            antiHypertensiveCount=0,
            statin=0,
            otherLipidLoweringMedicationCount=0,
            creatinine=0.8,
            initializeAfib=TestCKDEquation.initializeAfib,
        )

        self._black_female_low_cr = Person(
            age=52,
            gender=NHANESGender.FEMALE,
            raceEthnicity=NHANESRaceEthnicity.NON_HISPANIC_BLACK,
            sbp=120,
            dbp=80,
            a1c=Person.convert_fasting_glucose_to_a1c(100),
            hdl=50,
            totChol=150,
            ldl=90,
            trig=150,
            bmi=26.6,
            waist=94,
            anyPhysicalActivity=1,
            education=Education.HIGHSCHOOLGRADUATE,
            smokingStatus=SmokingStatus.NEVER,
            alcohol=AlcoholCategory.ONETOSIX,
            antiHypertensiveCount=0,
            statin=0,
            otherLipidLoweringMedicationCount=0,
            creatinine=0.4,
            initializeAfib=TestCKDEquation.initializeAfib,
        )

        self._white_male_high_cr = Person(
            age=52,
            gender=NHANESGender.MALE,
            raceEthnicity=NHANESRaceEthnicity.NON_HISPANIC_WHITE,
            sbp=120,
            dbp=80,
            a1c=Person.convert_fasting_glucose_to_a1c(100),
            hdl=50,
            totChol=150,
            ldl=90,
            trig=150,
            bmi=26.6,
            waist=94,
            anyPhysicalActivity=1,
            education=Education.HIGHSCHOOLGRADUATE,
            smokingStatus=SmokingStatus.NEVER,
            alcohol=AlcoholCategory.ONETOSIX,
            antiHypertensiveCount=0,
            statin=0,
            otherLipidLoweringMedicationCount=0,
            creatinine=1.2,
            initializeAfib=TestCKDEquation.initializeAfib,
        )

        self._white_male_low_cr = Person(
            age=52,
            gender=NHANESGender.MALE,
            raceEthnicity=NHANESRaceEthnicity.NON_HISPANIC_WHITE,
            sbp=120,
            dbp=80,
            a1c=Person.convert_fasting_glucose_to_a1c(100),
            hdl=50,
            totChol=150,
            ldl=90,
            trig=150,
            bmi=26.6,
            waist=94,
            anyPhysicalActivity=1,
            education=Education.HIGHSCHOOLGRADUATE,
            smokingStatus=SmokingStatus.NEVER,
            alcohol=AlcoholCategory.ONETOSIX,
            antiHypertensiveCount=0,
            statin=0,
            otherLipidLoweringMedicationCount=0,
            creatinine=0.1,
            initializeAfib=TestCKDEquation.initializeAfib,
        )