Abstract
India faces numerous challenges to the meet ever-increasing demand of human blood so as to improve the health indicators across its rural and urban population. The gap between demand and supply can be fulfilled by increasing voluntary blood donations. Hence, it becomes important to understand the attitude of population towards blood donations. In this paper an effort has been made to identify features in order of their importance that affect the decision of a person to become a blood donor. This research uses extensive visualization techniques to get an insight into potential blood donor characteristics and then applies classification technique to classify youth of an Indian state university as donor or non-donor. The k-nearest neighbour classification algorithm discovers the relationship between attributes of blood donors and hence predicts the outcome. The important factors that dissuade potential donors from donating blood have been extracted that can be worked upon to meet the demand of blood to save human lives.
Highlights
Human blood is the precious constituent of life and there is no substitute for it
This research uses extensive visualization techniques to get an insight into potential blood donor characteristics and applies classification technique to classify youth of an Indian state university as donor or non-donor
The k-nearest neighbour classification algorithm discovers the relationship between attributes of blood donors and predicts the outcome
Summary
Human blood is the precious constituent of life and there is no substitute for it. There has always been an acute shortage of human blood as far as a developing nation like India is concerned as stated by Verma et al (2016). According to report by Office of the Registrar General & Census Commissioner, India Census, approximately 50 percent of India’s population is in the age group 18-65years which is the eligible age group for blood donation yet India fell short of 1.9million units of blood in the year 2017. It becomes essential for India as a nation to understand the factors that dissuade people from donating blood.
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More From: International Journal of Big Data and Analytics in Healthcare
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