1 00:00:00,000 --> 00:00:02,211 A heart attack occurs when blood flow to 2 00:00:02,211 --> 00:00:04,240 the heart is severely reduced or blocked. 3 00:00:04,240 --> 00:00:06,894 As many as 47 people lose their lives 4 00:00:06,894 --> 00:00:09,787 to cardiac arrest every hour in Pakistan 5 00:00:09,787 --> 00:00:11,703 said Chairman Dr. Naeem Malik 6 00:00:11,703 --> 00:00:14,257 of Pakistan Institute of Medical Sciences. 7 00:00:14,257 --> 00:00:16,034 Heart attacks are scary 8 00:00:16,034 --> 00:00:17,962 sudden and can strike anyone. 9 00:00:17,962 --> 00:00:20,483 Depending on the death rate, it's scarier 10 00:00:20,483 --> 00:00:22,130 but what if we could predict 11 00:00:22,130 --> 00:00:23,398 it before it happens 12 00:00:23,398 --> 00:00:25,387 To make heart attacks easy to detect 13 00:00:25,387 --> 00:00:26,306 we have made a 14 00:00:26,306 --> 00:00:26,869 'Heart Attack 15 00:00:26,869 --> 00:00:27,432 Prediction System' 16 00:00:27,432 --> 00:00:28,492 aka 'HAPS'. 17 00:00:28,492 --> 00:00:30,991 HAPS is a screening tool that analyzes 18 00:00:30,991 --> 00:00:32,031 key health factors 19 00:00:32,031 --> 00:00:34,570 such as age, blood pressure, cholesterol 20 00:00:34,570 --> 00:00:35,570 and lifestyle 21 00:00:35,570 --> 00:00:37,807 to identify people at high risk. 22 00:00:37,807 --> 00:00:39,511 Our model is easy to use 23 00:00:39,511 --> 00:00:41,182 and could save lives 24 00:00:41,182 --> 00:00:42,620 by predicting heart attack. 25 00:00:42,620 --> 00:00:44,571 Let's make heart attacks a thing of past. 26 00:00:44,575 --> 00:00:47,286 Predict. Prevent. Protect. 27 00:00:47,317 --> 00:00:48,972 'Heart Attack Prediction System' 28 00:00:48,972 --> 00:00:50,063 Model build by: 29 00:00:50,063 --> 00:00:51,572 Shoaib Ur Rehman 30 00:00:51,572 --> 00:00:52,823 Shayan Ahmad Khattak 31 00:00:52,823 --> 00:00:54,144 Wisha Abdul Khaliq 32 00:00:54,144 --> 00:00:55,192 Ahmad Hassan 33 00:00:55,192 --> 00:00:55,801 Gulzar Ali