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WOMEN.WISDOM.WELLNESS

BEING A HEALTHY WOMEN ISN’T ABOUT MEASURING YOUR WAISTLINE,IT’S ABOUT HOW YOU FEEL ABOUT YOURSELF

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HYPOTHESIS

➤ WHO provides world health statistics on women’s health and well being.The dataset includes features like country ,year,maternal mortality rate(per 1000000 live births) and the percentage of births attended by a skilled personnel in a particular country.

➤The Maternal Mortality Ratio is a key performance indicator for efforts to improve the health and safety of mothers before, during, and after childbirth per country worldwide. Often referred to as MMR, it is the annual number of female deaths per 100,000 live births from any cause related to or aggravated by pregnancy or its management (excluding accidental or incidental causes). It is not to be confused with the Maternal Mortality Rate, which is the number of maternal deaths (direct and indirect) in a given period per 100,000 women of reproductive age during the same time period

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PROCESSES FOR EVALUATION

➤ In this dataset we consider 3 important features to get an idea about women’s health-Year of research,country and percentage of births attended by a skilled Health personnel.

➤We define the label of our problem as the maternal mortality rate.

➤This percentage of births is actually the average of percentages of birth calculated in a particular country for multiple years.

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DATA MINING TECHNIQUES

➤We use label encoding to encode categorical values.

➤Linear Regression was used to fit and predict the outcome.

➤python libraries such as numpy,sklearn,pandas were used to manipulate data in csv dataset.

➤Matplotlib was used to visualize data and get insights directly out of graphs.

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DATA VISUALIZATION

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CONCLUSION

➤We can make out from the graph the name of that country where the mortality rate has been the highest and hence WHO should take strict actions to improve the healthcare needs of women living in that particular country.

➤Wellness encompasses a healthy body, a sound mind, and a tranquil spirit. Enjoy the journey as you strive for wellness. -Laurette Gagnon Beaulieu

➤DATASET LINK-

http://apps.who.int/gho/data/node.sdg.3-1-data?lang=en