Paper Title: Smartphone Based “Heart Attack’’ Risk Prediction; Initiation of A Clinically Simple Approach
To develop a simple approach to predict risk of developing Ischemic Heart Disease (IHD) (“Heart Attack”) by using most widely used technology of smartphone. Collection of demographic data of risk factors for IHD. To initiate a activity for social awareness for “Check yourself before event”.
Design and Method:
A prototype software (Android based) was developed by integrating clinical data obtained from patients admitted with IHD. Obtained data was processed by “data mining” technology of computer sciences.
The clinical data from 787 patients was correlated and analyzed with the risk factors like, Hypertension, Diabetes, Dyslipidemia, Smoking, Family History, Obesity, Stress and existing clinical symptom which may suggest underlying non detected IHD. The data was mined with Data Mining technology in computer sciences and a score was generated. The risk was classified into Low, Medium and High for IHD. On comparing and categorizing the patients whose data was obtained for generating the score; we found there was significant correlation of having a cardiac event when Low and High category was compared; p = 0.004. Among patients categorized into High; 85% had IHD while among low category, only 25 % had IHD. However there was no significant difference between medium and high risk categories.
Our research is motivated to make simple approach to detect the IHD risk and aware the population to get themselves evaluated by a cardiologist to avoid sudden deaths and morbidities. Currently available tools has mandatory input of lipid values which makes them underutilized by population though those risk calculators bear excellent academic importance. Our research product may reduce this limitation and promote a risk evaluation on time. Our research is in experimental phase to check sensitivity and specificity and how the population takes it to walk upto a cardiologist to check their risks to have IHD.