Sector and income

example_new/KevinHall.json

@@ -67,6 +67,43 @@
             "Description": "string"
         }
     },
+    "RuralPrevalence": [
+        {
+            "Name": "Under18",
+            "Female": 0.65,
+            "Male": 0.65
+        },
+        {
+            "Name": "Over18",
+            "Female": 0.6,
+            "Male": 0.6
+        }
+    ],
+    "IncomeModels": [
+        {
+            "Name": "Category_1",
+            "Intercept": 1.0,
+            "Coefficients": {}
+        },
+        {
+            "Name": "Category_2",
+            "Intercept": 0.75498278113169,
+            "Coefficients": {
+                "Gender": 0.0204338261883629,
+                "Over18": 0.0486699373325097,
+                "Sector": -0.706477682886734
+            }
+        },
+        {
+            "Name": "Category_3",
+            "Intercept": 1.48856946873517,
+            "Coefficients": {
+                "Gender": 0.000641255498596025,
+                "Over18": 0.206622749570132,
+                "Sector": -1.71313287940798
+            }
+        }
+    ],
     "AgeMeanHeight": {
         "Male": [
             0.498, 0.757, 0.868, 0.952, 1.023, 1.092, 1.155, 1.219, 1.28, 1.333,

src/HealthGPS.Console/model_parser.cpp

@@ -129,31 +129,50 @@ std::unique_ptr<hgps::StaticLinearModelDefinition>
 load_staticlinear_risk_model_definition(const poco::json &opt, const host::Configuration &config) {
     MEASURE_FUNCTION();
 
-    // Risk factor linear models.
-    hgps::LinearModelParams models;
-    for (const auto &factor : opt["RiskFactorModels"]) {
-        auto factor_key = factor["Name"].get<hgps::core::Identifier>();
-        models.intercepts[factor_key] = factor["Intercept"].get<double>();
-        models.coefficients[factor_key] =
-            factor["Coefficients"].get<std::unordered_map<hgps::core::Identifier, double>>();
-    }
-
-    // Risk factor names and correlation matrix.
-    std::vector<hgps::core::Identifier> names;
+    // Risk factor linear models and correlation matrix.
+    std::vector<hgps::LinearModelParams> risk_factor_models;
     const auto correlations_file_info =
         host::get_file_info(opt["RiskFactorCorrelationFile"], config.root_path);
     const auto correlations_table = load_datatable_from_csv(correlations_file_info);
     Eigen::MatrixXd correlations{correlations_table.num_rows(), correlations_table.num_columns()};
-    for (size_t col = 0; col < correlations_table.num_columns(); col++) {
-        names.emplace_back(correlations_table.column(col).name());
-        for (size_t row = 0; row < correlations_table.num_rows(); row++) {
-            correlations(row, col) =
-                std::any_cast<double>(correlations_table.column(col).value(row));
+
+    for (size_t i = 0; i < opt["RiskFactorModels"].size(); i++) {
+        // Risk factor model.
+        const auto &factor = opt["RiskFactorModels"][i];
+        hgps::LinearModelParams model;
+        model.name = factor["Name"].get<hgps::core::Identifier>();
+        model.intercept = factor["Intercept"].get<double>();
+        model.coefficients =
+            factor["Coefficients"].get<std::unordered_map<hgps::core::Identifier, double>>();
+
+        // Check correlation matrix column name matches risk factor name.
+        auto column_name = hgps::core::Identifier{correlations_table.column(i).name()};
+        if (model.name != column_name) {
+            throw hgps::core::HgpsException{
+                fmt::format("Risk factor {} name ({}) does not match correlation matrix "
+                            "column {} name ({})",
+                            i, model.name.to_string(), i, column_name.to_string())};
         }
+
+        // Write data structures.
+        for (size_t j = 0; j < correlations_table.num_rows(); j++) {
+            correlations(i, j) = std::any_cast<double>(correlations_table.column(i).value(j));
+        }
+        risk_factor_models.emplace_back(std::move(model));
+    }
+
+    // Check correlation matrix column count matches risk factor count.
+    if (opt["RiskFactorModels"].size() != correlations_table.num_columns()) {
+        throw hgps::core::HgpsException{
+            fmt::format("Risk factor count ({}) does not match correlation "
+                        "matrix column count ({})",
+                        opt["RiskFactorModels"].size(), correlations_table.num_columns())};
     }
+
+    // Compute Cholesky decomposition of correlation matrix.
     auto cholesky = Eigen::MatrixXd{Eigen::LLT<Eigen::MatrixXd>{correlations}.matrixL()};
 
-    return std::make_unique<hgps::StaticLinearModelDefinition>(std::move(names), std::move(models),
+    return std::make_unique<hgps::StaticLinearModelDefinition>(std::move(risk_factor_models),
                                                                std::move(cholesky));
 }
 
@@ -253,25 +272,20 @@ load_ebhlm_risk_model_definition(const poco::json &opt) {
 std::unique_ptr<hgps::KevinHallModelDefinition>
 load_kevinhall_risk_model_definition(const poco::json &opt, const host::Configuration &config) {
     MEASURE_FUNCTION();
-    std::unordered_map<hgps::core::Identifier, double> energy_equation;
-    std::unordered_map<hgps::core::Identifier, std::pair<double, double>> nutrient_ranges;
-    std::unordered_map<hgps::core::Identifier, std::map<hgps::core::Identifier, double>>
-        nutrient_equations;
-    std::unordered_map<hgps::core::Identifier, std::optional<double>> food_prices;
-    std::unordered_map<hgps::core::Gender, std::vector<double>> age_mean_height;
 
     // Nutrient groups.
+    std::unordered_map<hgps::core::Identifier, double> energy_equation;
+    std::unordered_map<hgps::core::Identifier, hgps::core::DoubleInterval> nutrient_ranges;
     for (const auto &nutrient : opt["Nutrients"]) {
         auto nutrient_key = nutrient["Name"].get<hgps::core::Identifier>();
-        nutrient_ranges[nutrient_key] = nutrient["Range"].get<std::pair<double, double>>();
-        if (nutrient_ranges[nutrient_key].first > nutrient_ranges[nutrient_key].second) {
-            throw hgps::core::HgpsException{
-                fmt::format("Nutrient range is invalid: {}", nutrient_key.to_string())};
-        }
+        nutrient_ranges[nutrient_key] = nutrient["Range"].get<hgps::core::DoubleInterval>();
         energy_equation[nutrient_key] = nutrient["Energy"].get<double>();
     }
 
     // Food groups.
+    std::unordered_map<hgps::core::Identifier, std::map<hgps::core::Identifier, double>>
+        nutrient_equations;
+    std::unordered_map<hgps::core::Identifier, std::optional<double>> food_prices;
     for (const auto &food : opt["Foods"]) {
         auto food_key = food["Name"].get<hgps::core::Identifier>();
         food_prices[food_key] = food["Price"].get<std::optional<double>>();
@@ -291,7 +305,28 @@ load_kevinhall_risk_model_definition(const poco::json &opt, const host::Configur
     const auto food_data_file_info = host::get_file_info(opt["FoodsDataFile"], config.root_path);
     const auto food_data_table = load_datatable_from_csv(food_data_file_info);
 
+    // Rural sector prevalence for age groups and sex.
+    std::unordered_map<hgps::core::Identifier, std::unordered_map<hgps::core::Gender, double>>
+        rural_prevalence;
+    for (const auto &age_group : opt["RuralPrevalence"]) {
+        auto age_group_name = age_group["Name"].get<hgps::core::Identifier>();
+        rural_prevalence[age_group_name] = {{hgps::core::Gender::female, age_group["Female"]},
+                                            {hgps::core::Gender::male, age_group["Male"]}};
+    }
+
+    // Income models for different income classifications.
+    std::vector<hgps::LinearModelParams> income_models;
+    for (const auto &factor : opt["IncomeModels"]) {
+        hgps::LinearModelParams model;
+        model.name = factor["Name"].get<hgps::core::Identifier>();
+        model.intercept = factor["Intercept"].get<double>();
+        model.coefficients =
+            factor["Coefficients"].get<std::unordered_map<hgps::core::Identifier, double>>();
+        income_models.emplace_back(std::move(model));
+    }
+
     // Load M/F average heights for age.
+    std::unordered_map<hgps::core::Gender, std::vector<double>> age_mean_height;
     const auto max_age = static_cast<size_t>(config.settings.age_range.upper());
     auto male_height = opt["AgeMeanHeight"]["Male"].get<std::vector<double>>();
     auto female_height = opt["AgeMeanHeight"]["Female"].get<std::vector<double>>();
@@ -306,7 +341,8 @@ load_kevinhall_risk_model_definition(const poco::json &opt, const host::Configur
 
     return std::make_unique<hgps::KevinHallModelDefinition>(
         std::move(energy_equation), std::move(nutrient_ranges), std::move(nutrient_equations),
-        std::move(food_prices), std::move(age_mean_height));
+        std::move(food_prices), std::move(rural_prevalence), std::move(income_models),
+        std::move(age_mean_height));
 }
 
 std::pair<hgps::RiskFactorModelType, std::unique_ptr<hgps::RiskFactorModelDefinition>>

src/HealthGPS.Core/forward_type.h

@@ -35,6 +35,18 @@ enum class DiseaseGroup : uint8_t {
     cancer
 };
 
+/// @brief Enumerates sector types
+enum class Sector : uint8_t {
+    /// @brief Unknown sector
+    unknown,
+
+    /// @brief Urban sector
+    urban,
+
+    /// @brief Rural sector
+    rural
+};
+
 /// @brief C++20 concept for numeric columns types
 template <typename T>
 concept Numerical = std::is_arithmetic_v<T>;
@@ -60,4 +72,5 @@ class DoubleDataTableColumn;
 class IntegerDataTableColumn;
 
 class DataTableColumnVisitor;
+
 } // namespace hgps::core

src/HealthGPS.Core/interval.h

@@ -1,6 +1,10 @@
 #pragma once
+
+#include "HealthGPS.Core/exception.h"
 #include "forward_type.h"
 #include "string_util.h"
+
+#include <algorithm>
 #include <fmt/format.h>
 
 namespace hgps::core {
@@ -16,7 +20,11 @@ template <Numerical TYPE> class Interval {
     /// @param lower_value Lower bound value
     /// @param upper_value Upper bound value
     explicit Interval(TYPE lower_value, TYPE upper_value)
-        : lower_{lower_value}, upper_{upper_value} {}
+        : lower_{lower_value}, upper_{upper_value} {
+        if (lower_ > upper_) {
+            throw HgpsException(fmt::format("Invalid interval: {}-{}", lower_, upper_));
+        }
+    }
 
     /// @brief Gets the interval lower bound
     /// @return The lower bound value
@@ -33,13 +41,7 @@ template <Numerical TYPE> class Interval {
     /// @brief Determines whether a value is in the Interval.
     /// @param value The value to check
     /// @return true if the value is in the interval; otherwise, false.
-    bool contains(TYPE value) const noexcept {
-        if (lower_ < upper_) {
-            return lower_ <= value && value <= upper_;
-        }
-
-        return lower_ >= value && value >= upper_;
-    }
+    bool contains(TYPE value) const noexcept { return lower_ <= value && value <= upper_; }
 
     /// @brief Determines whether an Interval is inside this instance interval.
     /// @param other The other Interval to check
@@ -48,6 +50,11 @@ template <Numerical TYPE> class Interval {
         return contains(other.lower_) && contains(other.upper_);
     }
 
+    /// @brief Clamp a given value to the interval boundaries
+    /// @param value The value to clamp
+    /// @return The clamped value
+    TYPE clamp(TYPE value) const noexcept { return std::clamp(value, lower_, upper_); }
+
     /// @brief Convert this instance to a string representation
     /// @return The equivalent string representation
     std::string to_string() const noexcept { return fmt::format("{}-{}", lower_, upper_); }

src/HealthGPS.Tests/AgeGenderTable.Test.cpp

@@ -159,7 +159,7 @@ TEST(TestHealthGPS_AgeGenderTable, CreateWithWrongRangerThrows) {
     using namespace hgps;
 
     auto negative_range = core::IntegerInterval(-1, 10);
-    auto inverted_range = core::IntegerInterval(10, 1);
+    auto inverted_range = core::IntegerInterval(1, 1);
 
     ASSERT_THROW(create_age_gender_table<double>(negative_range), std::invalid_argument);
     ASSERT_THROW(create_age_gender_table<double>(inverted_range), std::invalid_argument);

src/HealthGPS.Tests/Interval.Test.cpp

@@ -30,24 +30,6 @@ TEST(TestCore_Interval, CreatePositive) {
     ASSERT_TRUE(animal.contains(dog));
 }
 
-TEST(TestCore_Interval, CreateNegative) {
-    using namespace hgps::core;
-    auto lower = 0;
-    auto upper = -10;
-    auto len = upper - lower;
-    auto mid = len / 2;
-    auto animal = IntegerInterval{lower, upper};
-    auto cat = IntegerInterval{mid, upper};
-    auto dog = IntegerInterval{lower, mid};
-
-    ASSERT_EQ(lower, animal.lower());
-    ASSERT_EQ(upper, animal.upper());
-    ASSERT_EQ(len, animal.length());
-    ASSERT_TRUE(animal.contains(mid));
-    ASSERT_TRUE(animal.contains(cat));
-    ASSERT_TRUE(animal.contains(dog));
-}
-
 TEST(TestCore_Interval, Comparable) {
     using namespace hgps::core;
 

src/HealthGPS/dynamic_hierarchical_linear_model.cpp

@@ -26,10 +26,7 @@ RiskFactorModelType DynamicHierarchicalLinearModel::type() const noexcept {
 std::string DynamicHierarchicalLinearModel::name() const noexcept { return "Dynamic"; }
 
 void DynamicHierarchicalLinearModel::generate_risk_factors(
-    [[maybe_unused]] RuntimeContext &context) {
-    throw core::HgpsException(
-        "DynamicHierarchicalLinearModel::generate_risk_factors not yet implemented.");
-}
+    [[maybe_unused]] RuntimeContext &context) {}
 
 void DynamicHierarchicalLinearModel::update_risk_factors(RuntimeContext &context) {
     auto age_key = core::Identifier{"age"};

src/HealthGPS/dynamic_hierarchical_linear_model.h

@@ -48,7 +48,6 @@ class DynamicHierarchicalLinearModel final : public RiskFactorModel {
 
     std::string name() const noexcept override;
 
-    /// @throws std::logic_error the dynamic model does not generate risk factors.
     void generate_risk_factors(RuntimeContext &context) override;
 
     void update_risk_factors(RuntimeContext &context) override;

src/HealthGPS/gender_table.h

@@ -157,10 +157,10 @@ GenderTable<int, TYPE> create_integer_gender_table(const core::IntegerInterval &
 /// @tparam TYPE The values data type
 /// @param age_range The age breakpoints range
 /// @return A new instance of the AgeGenderTable class
-/// @throws std::out_of_range for age range 'lower' of negative value or less than the 'upper' value
+/// @throws std::out_of_range for age range 'lower' of negative value or equal to the 'upper' value
 template <core::Numerical TYPE>
 AgeGenderTable<TYPE> create_age_gender_table(const core::IntegerInterval &age_range) {
-    if (age_range.lower() < 0 || age_range.lower() >= age_range.upper()) {
+    if (age_range.lower() < 0 || age_range.lower() == age_range.upper()) {
         throw std::invalid_argument(
             "The 'age lower' value must be greater than zero and less than the 'age upper' value.");
     }