Skin thickness (epidermal surface to dermal fat inter- face), which is primarily determined by collagen con- tent, is greater in insulin-dependent diabetes mellitus (IDDM) patients who have been diabetic for >10 yr (11,12). This possibly reflects increased collagen cross- linkage and reduced collagen turnover (2,3).
Read moreWhy is diabetes so important?
Increases the all-cause mortality rate 1.8 times compared to persons without diagnosed diabetes . Increases the risk of heart attack by 1.8 times. Is the leading cause of kidney failure, lower limb amputations, and adult-onset blindness.
Read moreCan skin thickness be zero?
Skin Fold Thickness: For normal people, skin fold thickness can’t be less than 10 mm better yet zero . Total count where value is 0: 227. BMI: Should not be 0 or close to zero unless the person is really underweight which could be life-threatening.
Read moreWhat is machine learning diabetes?
Machine learning is a subset of artificial intelligence that aims to create computer systems that discover patterns in training data to perform classification and prediction tasks on new data [7]. Machine learning puts together tools from statistics, data mining, and optimization to generate models.
Read moreHow do you calculate diabetes pedigree?
Body mass index (weight in kg/(height)2 in m) (BMI or x6), 7. Diabetes pedigree function (DPF or x7 ), 8. Age (years) (AGE or x8), and 9. Class variable (non-diabetes = 0 or diabetes =1)(CV or x9).
Read moreWhat is a diabetes pedigree function?
DiabetesPedigreeFunction: Diabetes pedigree function (a function which scores likelihood of diabetes based on family history ) Age: Age (years) Outcome: Class variable (0 if non-diabetic, 1 if diabetic)
Read moreCan diabetes be predicted?
Prediction of diabetes at an early stage can lead to improved treatment. Data mining techniques are widely used for prediction of disease at an early stage. In this research paper, diabetes is predicted using significant attributes , and the relationship of the differing attributes is also characterized.
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