public static double Predict(Diabetes patientTest)
{
Keras.Keras.DisablePySysConsoleLog = true;
var tests = new List <Diabetes> {
patientTest
};
NDArray testData = tests.Select(x =>
new [] {
x.Pregnancies,
x.Glucose,
x.BloodPressure,
x.SkinThickness,
x.Insulin,
x.BMI,
x.DiabetesPedigreeFunction,
x.Age
}).ToArray();
NDarray testDataNew = testData.ToNumpyNET();
var test = Utilities.Cache.Model.Predict(testDataNew);
var value = test?[0][0].ToString();
return(Convert.ToDouble(value, CultureInfo.InvariantCulture));
}
private double ClassifyData(int pregnancies, int glucose, int bloodPressure, int skinThickness, int insulin, double bmi, double diabetesPedigreeFunction, int age)
{
var test = new Diabetes()
{
Pregnancies = pregnancies,
Glucose = glucose,
BloodPressure = bloodPressure,
SkinThickness = skinThickness,
Insulin = insulin,
BMI = bmi,
DiabetesPedigreeFunction = diabetesPedigreeFunction,
Age = age
};
return(Neural.Network.Predict(test));
}
public static void RunNonBagging(string trainingSetPath, string testingSetPath, int maxTreeDepth)
{
Trace.TraceInformation("Starting Bias-Variance for NonBagging");
Trace.TraceInformation("TrainingSetPath: {0}", trainingSetPath);
Trace.TraceInformation("TestingSetPath: {0}", testingSetPath);
Trace.TraceInformation("Max Tree Depth: {0}", maxTreeDepth);
// Train
Instances trainingInstances = Diabetes.LoadData(trainingSetPath, Mode.Train);
Bagging.Bagging bagging = new Bagging.Bagging();
bagging.Train(trainingInstances, 0, null, maxTreeDepth);
// Predict
Instances testingInstances = Diabetes.LoadData(testingSetPath, Mode.Test);
List <int> predictions = bagging.TestNonBagging(testingInstances);
// Calculate Bias and Variance
// Get the class for each test example
int targetAttribute = testingInstances.numAttributes() - 1;
List <int> classes = new List <int>();
for (int i = 0; i < testingInstances.numInstances(); i++)
{
classes.Add((int)testingInstances.instance(i).value(targetAttribute));
}
// Get the prediction for every test example, for every set of instanes
List <List <int> > allPredictions = new List <List <int> >();
for (int j = 0; j < 1; j++)
{
for (int i = 0; i < testingInstances.numInstances(); i++)
{
if (j == 0)
{
allPredictions.Add(new List <int>());
}
allPredictions[i].Add(predictions[i]);
}
}
BiasVariance.biasvar(classes, allPredictions, testingInstances.numInstances(), 1);
}
public static void RunBagging(string trainingSetPath, string testingSetPath, int numberOfModels, int bootstrapSamples, int?randomSeed, int maxTreeDepth)
{
Trace.TraceInformation("Starting Bias-Variance for Bagging");
Trace.TraceInformation("TrainingSetPath: {0}", trainingSetPath);
Trace.TraceInformation("TestingSetPath: {0}", testingSetPath);
Trace.TraceInformation("Models: {0}", numberOfModels);
Trace.TraceInformation("Bootstrap Samples: {0}", bootstrapSamples);
Trace.TraceInformation("Random Seed: {0}", randomSeed.ToString());
Trace.TraceInformation("Max Tree Depth: {0}", maxTreeDepth);
Instances trainingInstances = Diabetes.LoadData(trainingSetPath, Mode.Train);
Instances testingInstances = Diabetes.LoadData(testingSetPath, Mode.Test);
// Stores the predictions for every training set
List <List <int> > allPredictions = new List <List <int> >();
for (int i = 0; i < bootstrapSamples; i++)
{
Bagging.Bagging bagging = new Bagging.Bagging();
bagging.Train(trainingInstances, numberOfModels, randomSeed, maxTreeDepth);
List <int> predictions = bagging.Test(testingInstances);
for (int k = 0; k < testingInstances.numInstances(); k++)
{
if (i == 0)
{
allPredictions.Add(new List <int>());
}
allPredictions[k].Add(predictions[k]);
}
}
// Calculate Bias and Variance
// Get the class for each test example
int targetAttribute = testingInstances.numAttributes() - 1;
List <int> classes = new List <int>();
for (int i = 0; i < testingInstances.numInstances(); i++)
{
classes.Add((int)testingInstances.instance(i).value(targetAttribute));
}
BiasVariance.biasvar(classes, allPredictions, testingInstances.numInstances(), bootstrapSamples);
}
public void CreateDiabetesTest()
{
var diabetes = new Diabetes
{
Age = 54,
Glucose = 125,
Insulin = 0,
Outcome = 1,
Pregnancies = 8,
BloodPressure = 96,
SkinThickness = 0,
BMI = 0,
DiabetesPedigreeFunction = 0.232
};
diabetes.Should().BeOfType <Diabetes>();
}
static void Main(string[] args)
{
Influenza influenza = Influenza.Instance("Influenza", "Cough, Cold");
Diabetes diabetes = Diabetes.Instance("Diabetes", "Weight loss, Hunger, Fatigue");
Malaria malaria = Malaria.Instance("Malaria", "Chills, Fever, Fatigue");
Ethnicity1 ethnicity1 = Ethnicity1.Instance("Ethnicity1", new List <IDisease> {
influenza, malaria
});
Ethnicity2 ethnicity2 = Ethnicity2.Instance("Ethnicity2", new List <IDisease> {
diabetes, malaria
});
Ethnicity3 ethnicity3 = Ethnicity3.Instance("Ethnicity3", new List <IDisease> {
influenza, diabetes
});
Person mikeSmith = new Person("Mike Smith", ethnicity1);
Person johnSmith = new Person("John Smith", ethnicity2);
Person jackSmith = new Person("Jack Smith", ethnicity2);
Person nickSmith = new Person("Nick Smith", ethnicity3);
Person rickSmith = new Person("Rick Smith", ethnicity1);
Console.WriteLine("Name: {0}, Ethnicity {1}, Probable Diseases {2}, Possible symptoms {3}",
mikeSmith.Name, mikeSmith.Ethnicity.Name(), mikeSmith.GetDiseases(), mikeSmith.GetSymptoms());
Console.WriteLine("Name: {0}, Ethnicity {1}, Probable Diseases {2}, Possible symptoms {3}",
johnSmith.Name, johnSmith.Ethnicity.Name(), johnSmith.GetDiseases(), johnSmith.GetSymptoms());
Console.WriteLine("Name: {0}, Ethnicity {1}, Probable Diseases {2}, Possible symptoms {3}",
jackSmith.Name, jackSmith.Ethnicity.Name(), jackSmith.GetDiseases(), jackSmith.GetSymptoms());
Console.WriteLine("Name: {0}, Ethnicity {1}, Probable Diseases {2}, Possible symptoms {3}",
nickSmith.Name, nickSmith.Ethnicity.Name(), nickSmith.GetDiseases(), nickSmith.GetSymptoms());
Console.WriteLine("Name: {0}, Ethnicity {1}, Probable Diseases {2}, Possible symptoms {3}",
rickSmith.Name, rickSmith.Ethnicity.Name(), rickSmith.GetDiseases(), rickSmith.GetSymptoms());
Console.ReadKey();
}
public IActionResult Report()
{
string OPDNO = HttpContext.Session.GetString("Diabetes_OPDNO");
if (OPDNO != null && OPDNO != String.Empty)
{
Diabetes data = new Diabetes
{
UserData = _db.UserDatas.Where(c => c.OPDNo == OPDNO).FirstOrDefault(),
DiabetesClinicalSymptom = _gmidb.DiabetesClinicalSymptoms.Where(c => c.OPDNO == OPDNO).FirstOrDefault(),
DiabetesComorbidity = _gmidb.DiabetesComorbidities.Where(c => c.OPDNO == OPDNO).FirstOrDefault(),
DiabetesPersonalHabit = _gmidb.DiabetesPersonalHabits.Where(c => c.OPDNO == OPDNO).FirstOrDefault(),
DiabetesGeneralExamination = _gmidb.DiabetesGeneralExaminations.Where(c => c.OPDNO == OPDNO).FirstOrDefault(),
DiabetesCNS = _gmidb.DiabetesCNSs.Where(c => c.OPDNO == OPDNO).FirstOrDefault(),
DiabetesRespSystem = _gmidb.DiabetesRespSystems.Where(c => c.OPDNO == OPDNO).FirstOrDefault(),
DiabetesAbdExam = _gmidb.DiabetesAbdExams.Where(c => c.OPDNO == OPDNO).FirstOrDefault(),
DiabetesCVS = _gmidb.DiabetesCVSs.Where(c => c.OPDNO == OPDNO).FirstOrDefault(),
DiabetesInvestigation = _gmidb.DiabetesInvestigations.Where(c => c.OPDNO == OPDNO).FirstOrDefault(),
DiabetesOther = _gmidb.DiabetesOthers.Where(c => c.OPDNO == OPDNO).FirstOrDefault()
};
return(View(data));
}
return(RedirectToAction("Index", new { res = "First enter OPDNO" }));
}
