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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
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| Paper Title: | CHILD HEALTH CARE MONITORING SYSTEM |
| Authors Name: | KOTANA VANAJA , Dr. KUNJAM NAGESWARA RAO , PELURU JANARDHANARAO |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_205326
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| Published Paper Id: | IJNRD2309188 |
| Published In: | Volume 8 Issue 9, September-2023 |
| DOI: | |
| Abstract: | Abstract : Children need adequate care and nutrition to grow and develop optimally. Parents must take adequate care in providing nutrition’s and monitoring their children health regularly. Aim of Child Health Care Monitoring System is to monitor the nutritional status of children based on height, weight, age and gender. The Child Health Care Monitoring System is a restful web application that helps in monitoring the health condition of a child whose age is below 10 years. Parents can use this application to check the nutritional status of a baby regularly, update vaccination status and upload and save the reports related to the child. This application uses Naïve Bayes Classifier, a machine learning model to classify the data and shows the health condition of a child as ‘malnutrition’ or ‘normal’ or ‘overnutrition.’ The Anthropometric index and Z-score are used to assess the nutritional status of children under the age of ten years. The parameters that are used in the measurement of Anthropometry for children are the age, weight, height, and gender. These parameters are used to generate the index of the Anthropometry: height for age, weight for age, weight for height for kids under the age of 5 years and body mass index for kids above the age of 5 years these data can be interpreted, and we can classify the data as ‘malnutrition’ or ‘normal’ or ‘overnutrition’. This study used 642 data sets of children, the model used 492 as training set and 151 as testing set with 97.6% accuracy. |
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| Cite Article: | "CHILD HEALTH CARE MONITORING SYSTEM ", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 9, page no.b782-b787, September-2023, Available :http://www.ijnrd.org/papers/IJNRD2309188.pdf |
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2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID:IJNRD2309188 Registration ID: 205326 Published In: Volume 8 Issue 9, September-2023 DOI (Digital Object Identifier): Page No: b782-b787 Country: Vishakapatnam, Andhra Pradesh, India Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2309188 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2309188 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
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