Ai is helping out to spot out pre diabetic patients with help of cardiogram app from wearables

If you are fond of wearable , you must be looking more gizmos to wear like bands and digital clocks those days but when the technological advances beefed up , wearable has become so smarter and even making us more lazier .  Cardiogram : An initiative start up from Neural network from UCSF department of medicine has pioneered in medical field by showing earlier signs of diabetes to any person through pop ups and alerts in a led which is tend to be more compact.      Cardiogram a company which aimed at developing a statistical and also GUI alert to users by organizing a mobile with meaningful actions. Caridogram is a fresh kick up project aims in developing to curb out human deficiency to help the person to keep fit and healthy and one most notable point is they aimed at developing the app with no additional hardware needed except fit-bits , android wears and apple watches. 

cardiogram app and its features

Cardiogram team has already frontier'd the deep heart : Neural network system in the past to train the results to more accurate level.. what exactly it does is it not only detects the pulse , heart beats , calories burnt but also it connects to other organs associated with it say like stomach , liver , pancreas and so so and also it roughed up about earlier stokes of patients which were detected accurately for nearly 6000 plus patients. A research team is been more curios to beef up the product to more efficiency with more precise advance curacy . With the gadgets and smart bands we have already in market which just pulses out the action but this does a bit more of doctor task digitally right in front of you as hand wear seems to be surprising . From the past studies and team results , its been proved it just steps out farther from just detecting high cholesterol , sleep apnea and hyper tension and also heart beats of roughly about 14000 plus users now. What exactly surprises me is how a tiny little app could detect such moves more accurately . 

Heart rate data reflects everything that happens in your life. Examples from Cardiogram for Apple Watch.
 ( Image courtesy rip : https://blog.cardiogr.am/ )
 
Cardiogram comes up with more supervised approaches with more training in past. It had a handful task from team of researchers spending weeks and months to make a complete pattern and assimilate learning to train the patterns of earlier patients to detect more accurately. It was not even designed to detect the diabetic patients but it happens to detect more complex associated with human body signals of thermal heat which were just monitored and auditor-ed showed the team the surprising facts which seemed to detect diabetic patients and stokes very earlier. It is chuffed up with little amount of sample data were tuned to what rate of heart rates are linked with diabetic patients and also heuristic pre- training with more sampling. It collected more than 57000 samples on certain types to pre detect some functions with proper amicable training to adjust its errors to come for 85 percent accuracy and it has very peculiar algorithm that could check whatever is associated with heart rates and diabetes and if you remove patients or users , it will not detect any like sensory perception. AI deep learning algorithm for this detection has to head up more tests with the conductivity of tests and to detect early signs of its symptoms to make sure the patients could cure it before it occurs. Even the person is doing lots of exercise , the symptoms will show in led with information on workouts that " you need to work out to burn this much calorie today " which is quiet interesting. 

cardiogram app in apple watch with its feature

CDC reports made from this gizmo has showed the earlier signs of detection of pre-diabetes and also present diabetes patients in larger amount of scale of up-to 100 million users is really shocking . As this diabetes has become so prominently devastating pandemic to everyone and it is been projected that its been shock to nearly 25  % of patients never knew that they gonna catch up diabetes. This is terrible to tact . Overall , this is a good ambitious project from team cardiogram with good sampling AI work. Hope the future is making us better. For better understanding about how it operates, please watch out the video below