Mother’s Significant Feature (MSF) Dataset

Citation Author(s):
Himani
Deshpande
Ramrao Adik Institute of Technology
Leena
Ragha
Ramrao Adik Institute of Technology
Submitted by:
Himani Deshpande
Last updated:
Fri, 04/23/2021 - 11:24
DOI:
10.21227/kq5k-b784
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Abstract 

Mother’s Significant Feature (MSF) Dataset has been designed to provide data to researchers working towards woman and child health betterment. MSF dataset records are collected from the Mumbai metropolitan region in Maharashtra, India. Women were interviewed just after childbirth between February 2018 to March 2021. MSF comprise of 450 records with a total of 130 attributes consisting of mother’s features, father’s features and health outcomes. A detailed dataset is created to understand the mother’s features spread across three phases of her reproductive age i.e. teenage, after marriage and during pregnancy. Available features are further divided into 5 categories namely physical, social, lifestyle, stress level,and health outcome. All possible complication associated with child health, mother’s health and pregnancy outcomes are covered in the dataset, which were realised after detailed literature review and brainstorming sessions with doctors (gynaecologist and paediatricians).

Instructions: 

We have provided the copy of forms used to collect data for datset and a read me guide to undertand the features provided in dataset along with the content of all the 6 dataset submitted in excel sheet format.