MYSUGAR : A MOBILE APPLICATION TO PREDICT BLOOD SUGAR LEVEL USING MACHINE LEARNING
The objective of this paper is to help doctor and people to predict and diagnose the probability of having diabetes based on patient’s data. This mobile app called as MySugar which prompts the user to insert their individual variables such as age, Body Mass Index (BMI), pregnancy, blood pressu...
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| Main Author: | |
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| Format: | Final Year Project |
| Language: | English |
| Published: |
IRC
2019
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| Subjects: | |
| Online Access: | http://utpedia.utp.edu.my/20964/1/Syed_Ahmad%20Kashafi_24753.pdf http://utpedia.utp.edu.my/20964/ |
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| Summary: | The objective of this paper is to help doctor and people to predict and diagnose
the probability of having diabetes based on patient’s data. This mobile app called as
MySugar which prompts the user to insert their individual variables such as age, Body
Mass Index (BMI), pregnancy, blood pressure, blood glucose reading, and
postprandial time assessed. Then, the app will calculate and predict the blood sugar
level using the user inputs and thus the user will know whether their blood sugar level
in prediabetic, diabetic or normal level. Our main scope is that this project will be
applied by health practitioner and doctor which helps them to identify the probability
of having diabetes for their patients. The prediction and calculation based on the
guidelines by National Institute of Diabetes, Digestive and Kidney Diseases of USA. |
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