Diabetes Prediction System is the web based system to be used in medical field. This idea is inspired because there are lack of awareness about diabetes disease among people at this world.Diabetes can cause many worse diseases such as heart failure and another organ failure.Next, the early diagnosis can prevent the disease become more worse. This system are build to do early diagnosis.In this system, the user can also access this system to get early diagnosis. Then, to if they want get more accurate result, they can refer to specialists. So, this system main moduls are consist of user and administrator. The user will provide the details about their health condition and personal information to get the results. Then, the questionnaires is purposed and answers can be collected .Next, the system will provide early diagnosis result after do the calculation and generate result based on the input. The system will use rule based algorithms. Rule based algorithm can be used for powering prediction the disease and are used to implement “IF THEN” in this system. PHP coding will develop into web where there is system will predict the diabetes. Also,the tips and information about Diabetes sections also available to be viewed by users. Through that, user able gain knowledge about Diabetes.
introduction
At Malaysia, clinics under Kementerian Kesihatan Malaysia(KKM) was established to trace improvement in treating diabetes at health clinic (KK) under KKM. There are about 657,839 registered patient where 653,326 are positively have Type 2 Diabetes Mellitus from 2009 until 2012 .However, the reason that leading the diabetes still become questions although the potential cause such as obesity and unhealthy lifestyle can tend become the factor. Besides obesity and unhealthy lifestyle, the another reason such as family history, smoking, suger intake daily, and so on. So, we advised to be careful in practise our lifestyle. It maybe become health or unhealthy lifestyle. The choice in our hands. To the obesity patients, are advised to change diet style and take nutrition food in right portion and always do exercise. The diabetes able make us become disable people where there is organ are imputated because of diabetes complication. So, diabetes patient should give attention to their leg. Early preventation more better than cured disease.There are about fourty eight percent of patient above 30 years old did not realise that they are diabetes patient . Then, the early prediction of diabetes should be done by everyone before its late. Early prediction can save many lives. So, we purpose the Diabetes prediction system based rule based and tree decision algorithm. A rule based algorithm as decision support system(DSS) for diabetes prediction system.
oBJECTIVE
To measure the probability of a user for getting diabetes.
To implement rule based algorithm as prediction technique into a system
To develop the system that function with the real problem.
framework
In the Diabetes Prediction System, there are only two users such as Admin and user.
For Admin, they need log into the system if they want manage their system. After login, they are retrieved into their own interface (different interface with user‟s interface) .They can add, delete or update the information segment. They also can manage their profile, view prediction result of users, delete user and user‟s opinion module. Admin also has right to add new admin for this system.
For user, they need register firstly to gain user ID , email and password. The user ID,user Name and password will be used by them to log into the system. After successfully login, they can use Diabetes Prediction System by answer the questionnaire that given. With the answer, the system will generate the result about the user‟s potential to get Diabetes and they will advised to seek doctors to find out real results. They also can view information about Diabetes and give their opinion through the system.
algorithm
Rule based system is the results of many rules.
The popular method is IF as the cause (antencendent) THEN as the effect (consequent).
It has been used in artificial intelligence system application (AI).
“IF” as input while “THEN” as output.
There are many input ir condition, so “AND” and “OR” maybe added in the statement of “IF THEN”.
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Example :
If in the exam, the student get 90% above, they will get A and if lower than that and above 80%, they will get B. `IF 90 <= grade,THEN class=A. IF 80<= grade AND grade<90 , THEN class=B.
Here the another rule, R1: IF age=youth AND student=yes THEN buys computer=yes. R2: (age=youth) ^ (student = yes))(buys computer = yes).
We use ^ as AND while v as OR. So we can assume that the rule based is simple one than another method.
result
conclusion
As conclusion, this system has been implemented by using rule based technique. With rule based technique, the risk and probability can be identified. The user can use this system because this system already achieved its objectives. However, the user still need to consult with doctor to get the accurate result. This system are built to aware the user about their potential to have Diabetes. An early step can preserved the diasease become worse. Be aware before late.