private void NormaliseData()
{
List <List <Patient> > dataLists = new List <List <Patient> >
{
dataList,
inputList
};
List <Patient> dataListCopy = new List <Patient>();
List <Patient> inputListCopy = new List <Patient>();
foreach (var item in dataList)
{
Patient newPatient = new Patient();
newPatient.SetAttributes(item.GetAllAttributes().Values.ToArray());
dataListCopy.Add(newPatient);
}
int count = 0;
foreach (var data in dataLists)
{
for (int feature = 0; feature < patientFeatures.Count - 2; feature++)
{
List <double> featureValues = new List <double>();
foreach (var item in dataListCopy)
{
featureValues.Add(item.GetSingleAttribute(feature));
}
double minValue = featureValues.Min();
double maxValue = featureValues.Max();
for (int patient = 0; patient < data.Count; patient++)
{
//if value should be normalised and isn't -> normalise
double currentValue = data[patient].GetSingleAttribute(feature);
if ((maxValue > 1 && count == 0) || (currentValue >= 1 && count == 1))
{
double normalisedValue = Math.Round(((currentValue - minValue) / (maxValue - minValue)), 4);
data[patient].SetSingleAttribute(feature, normalisedValue);
}
}
}
count++;
}
}
public static void AddPatient(string[] newPatient, string file, string classification)
{
if (newPatient.Length > 0)
{
Patient patient = new Patient();
patient.SetAttributes(newPatient.Skip(1).ToArray());
if (file.Contains("Input"))
{
patient.ID = Convert.ToInt32(newPatient[0]);
if (typeof(Patient.Classification).IsEnumDefined(classification))
{
patient.GivenDiagnosis = (Patient.Classification)Enum.Parse(typeof(Patient.Classification), classification);
}
else
{
patient.GivenDiagnosis = Patient.Classification.Unknown;
}
inputList.Add(patient);
}
else if (file.Contains("Attribute"))
{
AttributeRanking attr = new AttributeRanking();
attr.SetAttributeRanking(newPatient);
rankingList.Add(attr);
}
else
{
patient.ID = Convert.ToInt32(newPatient[0]);
if (typeof(Patient.Classification).IsEnumDefined(classification))
{
patient.Diagnosis = (Patient.Classification)Enum.Parse(typeof(Patient.Classification), classification);
}
dataList.Add(patient);
}
}
}
