Abstract:
Cardiovascular Diseases are solely responsible for 50% of all deaths caused by NonCommunicable Diseases in Pakistan. It is an established fact that life style of a person
effect his heart condition. Life style includes his socio-economic status, his demographic
location and his previous and family medical history. Knowledge about these aspects of
patients life can tell us a lot about the type of disease he is most suspected to become a
target of.
The project aims to develop a way of finding out the trends that might exist between
different cardiovascular diseases and the socioeconomic, demographic and medical
history of a patient. Thus enabling the health sector to prevent large number of deaths
caused by such diseases each year. To achieve this goal the current structure of
healthcare sector needs to be somewhat changed and hence this project also provides
a new centralized healthcare structure.
The project not only suggests ways of centralizing the healthcare structure of the
country but also shows the ways in which it can be used in reducing CVD. A large
portion of the project deals with reading the acquired ECG of a patient the way
Minnesota ECG Code elaborates and then using this data to find the possible arrhythmia
the patient might be suffering from. Once this information has been gathered data
mining algorithms are used to find the possible trends between these diseases and other
aspects of patients life.
