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- W2883836963 abstract "Health is a vital aspect of life. According to this, we need to improve publichealth due to an unhealthy lifestyle which may lead to the occurrence of various kinds ofdiseases. Diabetes Mellitus (DM) is one negative impacts left by an unhealthy lifestylewhich is caused by high blood sugar levels. Numbers of diabetes patients get latetreatments due to delayed identification on them. In fact, if a diagnosis report conductedearlier, the treatment can be given earlier as well, and bad conditions may be avoided.Therefore, a system identifying diabetes is needed so that the disease can be detected asfast, accurate, and early as possible. To tackle this issue, we aimed to design soft computingsystem for early detection of diabetes mellitus by using neural network and binary sigmoidactivation function. In a nutshell, The accuracy level of the DM detection was 92.44%." @default.
- W2883836963 created "2018-08-03" @default.
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- W2883836963 date "2018-01-01" @default.
- W2883836963 modified "2023-09-24" @default.
- W2883836963 title "Soft Neuro Computing GUI-based Diabetes Mellitus" @default.
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- W2883836963 doi "https://doi.org/10.4108/eai.23-4-2018.2277601" @default.
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