function [prob,died]=physionet2012(tm,category,val)
% [prob,SAPS_SCORE,died]=physionet2012(tm,category,val)
%
% Sample Submission for the PhysioNet 2012 Challenge. Variables our:
%
% tm - (Nx1 Cell Array) Cell array containing time of measurement
% category- (Nx1 Cell Array) Cell array containing type (category)
% measurement
% value - (Nx1 Cell Array) Cell array containing value of measurement
%
%
% prob - (Scalar) Probability value of the patient dying in the hospital.
% died - (Logical)Binary classification if the patient is going to die
% on the hospital (1 - Died, 0 - Survived)
%
% Example:
% [prob,died]=physionet2012(tm,category,val)
%include m-files: MakePatientStruct, TabulatePatientRecordData_binsChangeable,
% svmclassify_ML, svmdecision_ML,
% kernelList
%include mat-files: Model_Submission1.mat, scaling.mat
patient.textdata = [['time'; tm], ['category';category]];
patient.data = val;
%take in the data and make it a struct for the one patient
patientStruct = MakePatientStruct(patient);
%make the data into a matrix
spreads = importdata('Spreads.mat');
[X, ~] = TabulatePatientRecordData_binsChangeable2(patientStruct, spreads);
%---> bring in the model here
model = importdata('Model_Submission2.mat');
model.ScaleData = importdata('scaling.mat');
%get the results
[died, prob] = svmclassify_ML(model, X);
end