Based on a conceptual model (Fig 1), 16 potential predictors of diabetes status were considered for investigation: age, sex, race, marital status, body mass index (BMI) , physical activity, quantity of sleep, smoking status, fruit intake, vegetable consumption, hypertension, high cholesterol, arthritis, education, …
Read moreHow skin thickness is related to diabetes?
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 more