Program suggesting an option based on previous queries?

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I want to create a program that decides which option best suits a certain query based on previous queries and their respective suggestions proposed. Basically, 'training' the system to have an idea which suggestion most suits a question.

Example:

In this scenario patients input a Appointment number to see a doctor in a specific ward. Previous data is as follows:

Appointment Number: 257 Ward Directed to: 28
Appointment Number: 352 Ward Directed to: 10
Appointment Number: 546 Ward Directed to: 35
Appointment Number: 234 Ward Directed to: 28

As you can notice, the appointment numbers within the 200-300 range have been directed to the Ward 28. Here onward, the system will know that this range should be directed to the ward 28.

Since this is the analysis stage I'm in right now, What most effective method should I use to develop this system? Machine Learning? Statistics?

Posted 20-Mar-15 5:02am

Dinuka Jayasuriya

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[no name] 20-Mar-15 11:07am

I think the Apriori-Algorithm would be suitable

Peter Leow 20-Mar-15 13:09pm

This is hardly real. Overly simplistic.

Dinuka Jayasuriya 20-Mar-15 13:45pm

Your suggestion?

Peter Leow 20-Mar-15 14:16pm

You have to take into account real world scenarios with real data. Predicting the ward based on a single feature, i.e. appointment number, is overly simplified. I would think that, among other things, a patient is given a certain doctor or ward based on his illness, medical history, and whether it is a follow up or referral, and the availability of doctor and ward, rather than basing on his appointment number.

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manchanx · Answer 1 · 2015-03-20T05:19:00

I think the Apriori-Algorithm would be the right tool for your requirement. An excerpt from an article about that[^] here on CodeProject:

The whole point of the algorithm (and data mining, in general) is to extract useful information from large amounts of data. For example, the information that a customer who purchases a keyboard also tends to buy a mouse at the same time is acquired from the association rule below [..]

Other sources you'll find here:
http://en.wikipedia.org/wiki/Apriori_algorithm[^]
https://www.google.com/search?q=apriori+algorithm&ie=utf-8&oe=utf-8[^]