Predicting Mortality of ICU Patients: The PhysioNet/Computing in Cardiology Challenge 2012 1.0.0
(1,696 bytes)
function means= calculate_mean(times,values,names,category,T)
tot_params=max(size(category));
file_params=max(size(names));
means=zeros(1,tot_params) + NaN;
for param_idx=1:file_params
found_idx=strcmp(names(param_idx),category);
if max(found_idx)==1 && ~strcmp(names(param_idx),'Urine')
means(found_idx)=mean(values{param_idx}(times{param_idx} >= T(1) & times{param_idx} <= T(2)));
limits=get_param_limits_by_name(names{param_idx});
if means(found_idx) < limits(1) || means(found_idx)>limits(2)
means(found_idx)=NaN;
end
elseif max(found_idx)==1 && strcmp(names(param_idx),'Urine')
%For Urine output, get cumulative
urine_=values{param_idx}(times{param_idx} >= T(1) & times{param_idx} <= T(2));
dt=diff(times{param_idx}(1:length(urine_)));
if length(urine_)==0
means(found_idx)=NaN;
elseif length(urine_)==1
means(found_idx)=NaN;
else
TOT_TIME=times{param_idx}(length(urine_))-times{param_idx}(1);
speed=urine_(2:end)./dt;
cumulative_urine=sum(speed.*dt);
means(found_idx)= TOT_TIME/(24*60)*cumulative_urine;
% if cumulative_urine > 8000
% figure(1); plot(dt,speed,'*');
% pause(.1)
% end
end
limits=get_param_limits_by_name('Urine');
if means(found_idx) < limits(1) || means(found_idx)>limits(2)
means(found_idx)=NaN;
end
end
end
end