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Data Science Project - Association-Analysis-Cardiac-SPECT-Diagnosis

Objective

To use data mining technique with SPECT dataset in order to perform Apriori association analysis on each type of patients, and find 5 rules for each type of patients.

Scope

● Datasets was retrieved from http://archive.ics.uci.edu/ml/datasets/SPECT+Heart:
○ Given 2 datasets which are SPECT.train and SPECT.test
● Total No.of records: 267 patients
● Attributes: 23 attributes: Binary attributes 0 1
○ 1st attribute: healthy heart (diagnosis=0), unhealthy heart (diagnosis=1)
○ 2nd - 23rd attributes: high perfusion (diagnosis=0), poor perfusion (diagnosis=1)

Expected result

● The set of rules with high confidence value for patients that has normal cardiac health.
● The set of rules with high confidence value for patients that has abnormal cardiac health.

About

Object To use data mining technique with SPECT dataset in order to perform Apriori association analysis on each type of patients, and find 5 rules for each type of patients.

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