Predicting Mortality of ICU Patients: The PhysioNet/Computing in Cardiology Challenge 2012 1.0.0
(707 bytes)
function [SubjectsC, Condit] = condit_subject(Subjects, Condit)
learning = ischar(Condit);
if learning
Condit = struct('fn_name', Condit);
end
condit_fn = str2func(Condit.fn_name);
SubjectsC = Subjects;
f1 = {'Desc', 'TSeries'};
for i1 = 1:length(f1)
f2 = fieldnames(Subjects(1).(f1{i1}));
for i2 = 1:length(f2)
if learning
vals = cell2mat(arrayfun(@(x) x.(f1{i1}).(f2{i2})(:,end), Subjects, 'UniformOutput', false));
Condit.(f1{i1}).(f2{i2}) = condit_fn(vals);
end
for s = 1:length(Subjects)
SubjectsC(s).(f1{i1}).(f2{i2})(:,end) = condit_fn(Subjects(s).(f1{i1}).(f2{i2})(:,end), Condit.(f1{i1}).(f2{i2}));
end
end
end