Child Birth Weight Dataset
The birth weight of a child is totally dependent on multiple factors related to mother. The factors may be clinical as well as socioeconomic. Healthcare centers keep records of so many parameters of mother right from conceive to five years age of baby. We create this dataset considering 17 important clinical features of mother like- Age(years), Height(cm), Bgroup, Parity, ANC, Iwt(kg), Fwt(kg), IBP_sys, IBP_dias, FBP_sys, FBP_dias, IHb(gm%), Fhb(gm%), BS(RBS), Term/Preterm, Sex, Bwt(kg) and 1 socioeconomic feature called SEC. This dataset has a column LNH with 3 class labels for Low-weight, Normal-weight and Over-weight. This dataset has 1800 rows. This dataset can be used in the research areas of machine learning, and healthcare specifically dealing with nutritional status and its variety of correlations with infectious diseases, non-infectious diseases, and other abnormalities of body.
- There are some missing data in the dataset. The users may fill those in the per-processing stage using their own strategy.
- There are some fields where only textual or alphanumeric data are available. Some models may work with numeric data only. The user may consider replacing those using numbers as per their use case.
- Though most of the fields are self explanatory, yet users are suggested to read the documentation for better understanding of the fields.