A Conceptual Paper: Data mining in healthcare during winter season of Bangladesh
Purpose: The main objective of this paper is to discuss the deterioration of the patient's health during the winter season in Bangladesh and the treatment provided by the healthcare industries.
Background: This study investigates the diseases affecting the winter season in Bangladesh and studies on ways to cure it. In winter season, they suffer from fever, colds, coughs, shortness of breath, allergic diseases. Children and especially the elderly suffer more. The biggest impact was when the veterans died this season. So, my goal this season is to control the disease in some ways, especially how the elderly and children are less affected.
Methodology: This study used medical data of Bangladesh public and private hospital. Take interview the doctor from two hospital to get information of diseases that affect people health during every season especially winter season and during change of season, the difficulties that hospital and patient faced during hospital peak season. Conduct survey with patient in Sitakund Modern Hospital to know about what are disease that occur to them during every season especially winter season and during change of season and difficulties faced by patient during hospital peak season. Use classification method to predicting and analysing disease according to season particularly focus on how many times people (elderly, teenager, children, baby) will come to hospital during the season and what disease usually they encounter.
Results: This study has updated the knowledge of what diseases elderly and children are attacked during the winter season in Bangladesh. The study will also help the Government of Bangladesh in providing good treatment .
Conclusion: This study is designed to make people aware of the winter season in Bangladesh. This research is to ensure that the elderly and children get good quality and appropriate treatment in the main areas of winter. To raise awareness for the unwanted death of the elderly. Classification method can be used to predict what type and amount of medical supply and medical doctor needed for peak season.