Abstract

Association rule mining does not restrict to market basket application but it is also employed in many applications such as health, industrial, network domain and etc. In this paper, an association mining algorithm is applied to the health management domain. It helps in the decision making by producing the rules for the early detection of the disease. By checking the personal details and symptoms of the patient, association rule mining will help in prediction and diagnosing the disease at an early stage. The dataset used in this experiment is the Huntington Disease (HD) dataset, which is one of the rare diseases. The dataset needs to be stored in the memory for the computation and generation of rules. Storing the items in the memory will take 4 bytes if the array data structure is used. Furthermore, if the dataset is very large, storing each and every detail in the memory becomes speculative. It is also not cost-effective and consumes a lot of resources. One of the solutions is to present the itemset in such a way that the memory consumed is concise. The items are represented using the set representation that takes less time and memory as compared to the traditional methods. The dataset is mine using the Apriori Algorithm which produces only those itemsets which are more frequent or have a high probability of occurrence. The algorithm gives a prior knowledge of the frequent itemsets. Then, the rules will be generated from these frequent itemsets. The memory and time consumption using the set representation is compared with the array representation of itemsets. Doi: 10.28991/esj-2021-01284 Full Text: PDF

Highlights

  • We live in era where mental health plays a significant role than the physical health

  • Huntington disease is a rare disease which is neuro-degenerate disorder that occurs in the central nervous system

  • The performance of the set and array representation is tested with different ranging values of support and confidence. The performance of these representations is compared in terms of time and memory consumption

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Summary

1- Introduction

We live in era where mental health plays a significant role than the physical health. Huntington disease is a rare disease which is neuro-degenerate disorder that occurs in the central nervous system This disease is characterized by the behavioural disturbance, dementia and unwanted choreatic movement of a person. It is most frequently seen in the Caucasian population in the age group is 30-50 years. The Huntington’s case was first reported by Waters in the late 1842 but it was until 1847, when the description of this disease was given by George Huntington which later become known as Huntington’s chorea It is a neurodegenerative disorder which is passed from generation to generation from families ranging from dementia to psychiatric disturbances [1].

Clinical Stages 3
8- Results and Discussion
10- Conclusion
11-2- Data Availability Statement
11-4- Conflicts of Interest
12- References
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