This table contains data on early stage diabetes risk prediction, with information on age, gender, and various symptoms. It can be used to analyze the relationship between these factors and the likelihood of developing diabetes, and to develop predictive models for early detection and intervention. (AI-generated)
Age, Gender, Polyuria, Polydipsia, sudden weight loss, weakness, Polyphagia, Genital thrush, visual blurring, Itching, Irritability, delayed healing, partial paresis, muscle stiffness, Alopecia, Obesity, class