// View diagnosis result
private void buttonXDiagnosis_Click(object sender, EventArgs e)
{
if (this.modelList.Count < 1)
{
MessageBox.Show("Chưa có mô hình!", "Lỗi", MessageBoxButtons.OK, MessageBoxIcon.Error);
return;
}
if (this.dataGridViewXDiagnosis.DataSource != null)
{
if (this.trainningDataTabDianosis == null)
{
this.dataGridViewXDiagnosis.DataSource = DiscretizationData
.DataDiscretizationForDiagnosis(this.dataGridViewXDiagnosis.DataSource as DataTable);
}
}
else
{
MessageBox.Show("Chưa có dữ liệu để chuẩn đoán", "Lỗi", MessageBoxButtons.OK, MessageBoxIcon.Error);
return;
}
DataTable diagnosisDataTable = (this.dataGridViewXDiagnosis.DataSource as DataTable)
.DefaultView.ToTable(false, TableMetaData.AllAttributes);
this.trainningDataTabDianosis = new TrainningData(diagnosisDataTable, this.codification);
DataTable resultTable = new DataTable();
List <int[]> modelResults = new List <int[]>();
string classColumnName = TableMetaData.ClassAttribute;
DataRow row;
// Add column
foreach (var model in this.modelList)
{
if (model.Value.ToString() != "NaiveBayesS")
{
resultTable.Columns.Add(model.Value.ToString(), typeof(String));
modelResults.Add(model.Value.ComputeModel(this.trainningDataTabDianosis.TrainningAttributes));
}
}
// Add row
int columnIndex;
for (int rowIndex = 0; rowIndex < modelResults[0].Length; rowIndex++)
{
row = resultTable.NewRow();
columnIndex = 0;
foreach (DataColumn column in resultTable.Columns)
{
row[column] = this.trainningDataTabDianosis.CodificationData
.Translate(classColumnName, modelResults[columnIndex++][rowIndex]);
}
resultTable.Rows.Add(row);
}
this.dataGridViewXDiagnosisResult.DataSource = resultTable;
}
//Hàm dùng để rời rác hóa dataset trước khi thực hiện chẩn đoán
public DataTable DataDiscretization(DataTable dt)
{
DiabetesDataSetB.TrainningDataTable trainningDataTable = new DiabetesDataSetB.TrainningDataTable();
trainningDataTable.Columns.Add("MaBn", typeof(decimal));
trainningDataTable.Columns["MaBn"].SetOrdinal(0);
DataTable dtBayesObject = bayesObjectTA.GetData();
try
{
foreach (DataRow dtRow in dt.Rows)
{
DataRow newRow = trainningDataTable.NewRow();
foreach (DataColumn dtCol in dt.Columns)
{
String colName = dtCol.ColumnName;
switch (colName)
{
case "ID":
case "NgayKham":
case "HoTen":
case "GRAN":
case "TyLeGRAN":
case "Na":
case "K":
case "Cl":
case "Ca":
break;
case "MaBn":
newRow[colName] = dtRow[colName];
break;
case "TieuDuong":
newRow[colName] = Convert.ToBoolean(dtRow[colName]);
break;
case "GioiTinh":
newRow[colName] = dtRow[colName].ToString();
break;
case "NamSinh":
int namSinh = Convert.ToInt16(dtRow[colName]);
int tuoiHienTai = DateTime.Now.Year - namSinh;
String Tuoi = DiscretizationData.RoiRacHoaTuoi(tuoiHienTai);
newRow["Tuoi"] = Tuoi;
break;
default:
decimal colValue = Convert.ToDecimal(dtRow[colName]);
String giaTriRoiRac = DiscretizationData.DataDiscretizationForDiagnosis(colValue, colName);
newRow[colName] = giaTriRoiRac;
break;
}
}
trainningDataTable.Rows.Add(newRow);
}
}
catch (Exception ex)
{
MessageBox.Show(ex.ToString());
}
return(trainningDataTable);
}
