Infection

[brucey]

Hi folks, looking for some help with the following;

I have to develop a model of infected and non-infected patients, then use this model to make a judgement on whether the un-scanned patients are infected or not and Identify the level of accuracy.

Small example of the data i have to work with below.

Any help or pointers much appreciated.

Patient	Temp 1	Temp 2	Status
Patient 001	37.68	28.11	Infected
Patient 002	33.64	31.65	Not Infected
Patient 003	33.47	31.89	Not Infected
Patient 004	39.07	27.33	Infected
Patient 005	33.07	56.33	Un-scanned
Patient 006	41.07	52.33	Un-scanned

Cheers,
Brucey

 

[Steven G]

Pointers... To receive some help on this forum you should read the guidelines that states in part that to receive help you need to explain where you are stuck and show some work.

 

[Otis]

Hi brucey. Is this a school assignment?

\(\;\)

 

[brucey]

Yep, just looking for pointers...

 

[brucey]

I have worked out from the data that if the patient’s temps are below 33 they are not infected.

This would mean that out of 1000 patients only 650 would need to be scanned.

But how do I work out my accuracy level?

 

[tkhunny]

How does that fit with patient 1 temp2?

Why does it matter if patients 005 or 006 are infected? They are already partially roasted and ready for burial.

 

[brucey]

Well patient 001 temp 1 is over 33 so they are infected, yep patients 005 and 006 are roasted toasted!!

Any patient that temp is below 33 are not infected, I have worked this out as a number of patients that have been scanned and both their temps are below 33 are not infected!!

So I'm assuming if both temps are under 33 you not infected, but how do I workout the a accuracy of my report?

 

[tkhunny]

Maybe the point of Patient #1, Temp2 is to include that in your failure rate. You have a rule, and it doesn't correctly judge that one.