This cross-sectional study was conducted to note the health awareness level from nutrition level, hygiene level and planning level of the pregnant woman in Pekua, Cox's Bazar in Bangladesh. The proposed model will be able to predict the health awareness level of pregnant women by analyzing their daily life data such as “eating habits”, “food list”, “personal hygiene” and “planning knowledge of before and after pregnancy.” during their pregnancy. After predicting the level of nutrition, hygiene and planning, the final level of health awareness emerged from these three levels.
Finally, it predicted the general state of health awareness from predicted levels of nutrition, hygiene and planning by applying Machine Learning (ML) algorithm. Keywords: Pregnant Woman, Nutrition Level, Hygiene Level, Planning Level, Health Awareness Level, Machine Learning, Classification, KNN.
Introduction
- Motivation
- Objective
- Research Questions
- Expected Outcome
- Report Layout
These are very essential sources of nutrition and important for pregnant women, as mentioned in Table 1.1 [5]. Every year, many pregnant women suffer miscarriages and suffer from many types of diseases due to proper nutrition, hygiene and planning [9]. Even a newborn healthy baby died due to the baby's mother's lack of knowledge about pregnancy [10].
One of the reasons for this is not paying attention to their health while they were pregnant [11]. That is why this study was driven to develop a model by which a pregnant woman can easily predict her level of awareness and encourage her to be more aware. Determine the levels of nutrition, personal hygiene and planning, and thus the scaling of the level of health awareness of a pregnant woman.
Development of a standard model for use in different types of applications to determine the health status of a pregnant woman. The main purpose of this research is to make people aware of the importance of maintaining health during pregnancy.
Background
- Related Works
- Research Summary
- Scope of the Problem
- Challenges
Daffodil International University 7 Their practices and beliefs during pregnancy in the slums of Dhaka city Bangladesh. Some research was on what makes pregnant women sick in a garment factory in Bangladesh, education knowledge and the evolution of pregnancy of women in an urban community in Rangpur. This study proposed a model according to which a pregnant woman can check her primary state of awareness level about her own health despite her little educational skill.
The nutrition, the level finds the nutrition of foods such as grains, dal, meat and fish that the pregnant women eat. At the planning level, finding what to eat for their babies after birth and what to eat after 6 months of birth and place of birth. Show the test on the feature and the leaf node shows the class level and branches show the conjunctions of the feature.
KNN: -nearest neighbor is an algorithm used to determine which cluster the data point is in by checking the data points around it. In the KNN algorithm, we must first select the value of K and then truncate the value in ascending order using Euclidean distance. After that choose the same number of values of K and compare the value with each other if any value has the largest score then it is the predicted value.
Naive Bayes: The probability of the first event given the second event is equal to the second event obtained by multiplying the first event by the first event. The main reason for our project is to determine the nutritional level of various foods such as grains, meat, nuts and so on, so that all women can know what they should eat in a certain period. Since the forecast depends on the data set, we need to go outside Dhaka and stay there for a day to collect this data.
The aim of this project is to determine the level of awareness of pregnant women in the areas of nutrition, hygiene and planning.
Research Subject and Instrumentation
The purpose of this thesis is to see an efficient method that would be able to classify the level of health awareness of pregnant women with better accuracy and less errors. Classifying the level of health awareness of pregnant women is a classification research based on survey data where the data is applied to a machine learning algorithm to predict the class.
Dataset Details
Nutrition Level good good bad average
Hygiene Level high medium high low
Planning Level good bad bad bad
- Data Collection
- Data Preprocessing
- Phase I
- Classification using Decision Tree
- Classification using KNN
- Phase II
- Classification using Decision Tree
- Classification using KNN
- Phase III
- Classification using Decision Tree
- Classification using KNN
- Phase IV
- Classification using Decision Tree
- Classification using KNN
- Visualizing the graph
- Statistical Analysis
- Experiment Setup
- Experimental Result and Analysis
- Model Summary
Decision Tree” applied to the model and Figure 3.4 shows the preprocessing procedure for the “K Nearest Neighbor” model applied. After classification, the accuracy and confusion matrix of this level are shown in Figure 3.26.
Impact on Society, Environment, and Sustainability
- Impacts on society
- Impacts on the environment
- Ethical aspects
- Sustainability plans
Daffodil International University 33 project to spread the awareness level of women by knowing them about the dangerous situation of pregnancy and the beneficial effect of nutrition, hygiene and planning during the period of pregnancy. The nutritional level in this project shows the nutritional elements that are very important for pregnant women. This makes the women healthy, strong and positive, as well as the child. In addition, the project in the hygiene section shows how to live a healthy life during pregnancy.
Again, the planning level shows how to feed the baby and what to feed the baby after birth and six months after birth. The economy of our country is not good, so it is difficult to get facilities for all the people in the country. The main reason for the project is to know the pregnancy status of Bangladeshi women.
To inform them of this, they will take proper care of themselves and their child.
Conclusion and Future Scope 6.1 discussion and conclusion
Future Scope
Daffodil International University 35 And that is a bad sign for pregnant women if they become overweight. Appropriate and timely vitamin and mineral supplementation: Women face high levels of vitamin depletion during pregnancy. So it is very important to take some supplements and vitamins during pregnancy.
APPENDIX
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Faruque, “Nutrition: basis for healthy children and mothers in Bangladesh.,” Journal of Health, Population and Nutrition, vol. Fallah, "Effects of nutrition education on levels of nutritional awareness of pregnant women in western Iran.," International journal of endocrinology and metabolism, vol. Gaszyńska, “Dental awareness and oral health of pregnant women in Poland,” International journal of occupational medicine and environmental health, vol.
Chowdhury, “Factors associated with maternal anemia among pregnant women in Dhaka city,” BMC Women's Health, vol.
