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Dhivya, C.
- Data Mining and its Applications in Healthcare Industry
Abstract Views :181 |
PDF Views:1
Authors
K. Madhumitha
1,
C. Dhivya
2
Affiliations
1 Department of BCA, PSGR Krishnammal College for Women, IN
2 Department of BCA, PSGR Krishnammal College for Women, IN
1 Department of BCA, PSGR Krishnammal College for Women, IN
2 Department of BCA, PSGR Krishnammal College for Women, IN
Source
Biometrics and Bioinformatics, Vol 9, No 1 (2017), Pagination: 6-10Abstract
In today’s world Healthcare area is growing faster with huge amount of data present. The data in healthcare includes patient information, treatment given to them resources provided and much more relevant information. The information present is very large and considerable. Hidden knowledge and pattern from healthcare can be discovered by using various data mining techniques. In this paper we intend to apply some of the classification technique over the healthcare data. WEKA machine learning tool is used to test data set of Hepatitis disease. For performance evaluation accuracy percentage of classifier is considered. The technique with high accuracy is chosen for that particular dataset.
Keywords
Hepatitis, Data Mining.- Development and Optimization of Natural Colourant from Microbial Pigment
Abstract Views :321 |
PDF Views:0
Authors
Affiliations
1 Dr. M. G. R Educational and Research Institute, Velappanchavadi, Chennai – 600077, Tamil Nadu, IN
1 Dr. M. G. R Educational and Research Institute, Velappanchavadi, Chennai – 600077, Tamil Nadu, IN
Source
Research Journal of Pharmacy and Technology, Vol 12, No 7 (2019), Pagination: 3475-3478Abstract
Background: Natural pigments and synthetic dyes have been extensively used in various field such as food production, textile industries etc. Prodigiosin is red pigment produced by Serratia species. Prodigiosin is a promising drug owing to its reported characteristics of having anti-microbial, immunosuppressive, anti-proliferative and anti-cancer activity. Objective: The objective of the study is to development and optimization of natural colourant from microbial pigment. Methods: The aim of the work is to formulate suitable growth conditions and interaction of carbon and nitrogen sources in medium for growth production of prodigiosin from Serratia species. Result: The maximum production A2 (units/cell) was achieved at 280C, at pH7 with the addition of 1% of carbon source (Glucose) and 0.25% of nitrogen sources (peptone)after 72 days of incubation. Conclusion: Our results indicate that we have designed an economic medium supporting enhanced Serratia marcescens A2 prodigiosin production giving an added value for crude glycerol obtained from biodiesel industry.Keywords
Serratia, Bio Pigment, Factorial Design, Prodigiosin.References
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