Women's Care With Generalized Metabolism Analysis Report Based on Age Using Deep Learning

Author:

Sahu Madhuri Amit1ORCID,Ramteke Minakshi A.1,Sahu Amit P.1,Chourasia Harshita1ORCID,Ponnusamy Sivaram2ORCID

Affiliation:

1. G H Raisoni College of Engineering, India

2. Sandip University, India

Abstract

Women are facing different problems in different stages. The importance of comprehending women's personal and health issues is highlighted in the opening section. Women are suffering from so many problems, such as peer pressure, depression and anxiety, financial issues, transportation blockades, time management, girls' security and safety, homesickness, career choice perspective, early marriage issues, physical activity and nutrition, substance abuse, mental health issues, physical injury, and violence. The data is grouped by age; for instance, age 8 to 12, age 12 to 16, age 17 to 24, age 25 to 30, age 30 to 40, age 40 to 60, and age 60 to 80. Using deep learning techniques, the proposed system aims to conceptualize and understand these issues, and to develop one website which would provide a solution for each and every query with consulted name and address.

Publisher

IGI Global

Reference15 articles.

1. Artificial intelligence with multi-functional machine learning platform development for better healthcare and precision medicine

2. Supervised Transformer Network for Efficient Face Detection

3. Knowledge of preeclampsia and its associated factors among pregnant women: a possible link to reduce related adverse outcomes

4. GilsanzV.RatibO. (2005). Hand bone age: a digital atlas of skeletal maturity. Springer Science &. Business Media.

5. Heyworth, B. E., Osei, D., Fabricant, P. D., & Green, D. W. (2011). A new, validated shorthand method for determining bone age. Annual Meeting of the. hss.edu.

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