Abstract:
This cross-section study was driven to notice the health awareness level from the nutritional level, hygiene level, and planning level of the pregnant woman in pekua, cox’s Bazar in Bangladesh. Though mothers play a fundamental role in the health as well as the quality of life of their children and paying attention to maternal health during pregnancy is very important [1]; only 5% of rural pregnant women receive complete antenatal care and 25% of postnatal care in Bangladesh [2] which is not a good sign for a nation. 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 about pre- and post-pregnancy” during their pregnancy. This study period was from June 2022 to July 2022(one month) and took these data from 297 pregnant women by applying some pre-recorded questionnaires. After predicting the level of nutrition, hygiene, and planning, the final health awareness level came out from these three levels. At the nutrition level, noticed their daily eating time with the food lists and supplements that they are taking during pregnancy; labeling each person’s condition manually as “good”, “average” and “bad” based on the ideal food list for pregnant women [3]. At the hygiene level, noticed whether these women are hygienic or not from some questionaries' like “hand washing before and after taking meal or toilet”; labeling each person’s condition manually as “high”, “medium” and “low” based on the ideal food list for pregnant women. Personal hygiene is essential during pregnancy. A pregnant woman needs to take care of herself as well as her unborn baby so that infections and illnesses cannot be passed on to the baby due to poor hygiene [4]. Since rural women are not enough educated and not financially strong to maintain all needed hygiene [4], primarily washing hands with soap has been selected to map their hygienic condition. At the planning level, determined that they have post-pre-pregnancy knowledge from some questionaries' “plan for baby feeding”, and “plan for birth giving place”. Finally, predicted the overall health awareness condition from the predicted levels of nutrition, hygiene, and planning by applying the Machine Learning algorithm (KNN).
