2020•Journal of Emerging Technologies and Innovative ResearchRequires access

APPLICATION OF DATA PREPROCESSING IN HEALTH CARE

Sharan Rohith, S. Anupama Kumar

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Abstract

Internet is being used by many of user everyday as a result of this huge amount of data is being generated constantly. Mining and analyzing such data will help for an organization for research and development. Data preprocessing will play an important role in the data mining and analysis. This paper is intending to bring an insight to the importance of preprocessing and various preprocessing techniques that can be used in real world applications. Health care data is often incomplete, and the data set is not in the proper format to apply machine learning techniques. Data preprocessing eliminates the missing data and the data will be set in the effective integrated for the purpose of implementation. The different data preprocessing functions that brings in meaning to the raw data and prepare the data for further process are discussed in this paper.

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What this paper is about

Internet is being used by many of user everyday as a result of this huge amount of data is being generated constantly. Mining and analyzing such data will help for an organization for research and development. Data preprocessing will play an important role in the data mining and analysis. This paper is intending to bring an insight to the importance of preprocessing and various preprocessing techniques that can be used in real world applications. Health care data is often incomplete, and the data set is not in the proper format to apply machine learning techniques. Data preprocessing eliminates the missing data and the data will be set in the effective integrated for the purpose of implementation. The different data preprocessing functions that brings in meaning to the raw data and prepare the data for further process are discussed in this paper.

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Available abstract

Internet is being used by many of user everyday as a result of this huge amount of data is being generated constantly. Mining and analyzing such data will help for an organization for research and development. Data preprocessing will play an important role in the data mining and analysis. This paper is intending to bring an insight to the importance of preprocessing and various preprocessing techniques that can be used in real world applications. Health care data is often incomplete, and the data set is not in the proper format to apply machine learning techniques. Data preprocessing eliminates the missing data and the data will be set in the effective integrated for the purpose of implementation. The different data preprocessing functions that brings in meaning to the raw data and prepare the data for further process are discussed in this paper.

Key concepts: Preprocessor, Data pre-processing, Computer science, Raw data, Data mining, Data set, Set (abstract data type), Process (computing)

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