APPLICATION OF DATA PREPROCESSING IN HEALTH CARE
Sharan Rohith, S. Anupama Kumar
Abstract
Sharan Rohith, S. Anupama Kumar
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.
A significance statement is not available in the OpenAlex record.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
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)