Machine learning in predicting -score in the Oxford classification system of IgA nephropathy.

Background: Immunoglobulin A nephropathy (IgAN) is one of the leading causes of end-stage kidney disease (ESKD). Many studies have shown the significance of pathological manifestations in predicting the outcome of patients with IgAN, especially -score of Oxford classification. Evaluating prognosis may be hampered in patients without renal biopsy.

[Estimation on the size of men who have sex with men among college students in Beijing through the Network Scale-Up Method (NSUM)].

Objective: Network Scale-Up Method (NSUM) was used to estimate the Personal Network Size (C) of college students in Beijing and the size of men who have sex with men (MSM).

Methods: A survey was conducted on Beijing college students to estimate the personal network size (C) through NSUM and then using the back-estimating and attitude adjustment to correct C value and the size of the target population.

Results: The mean of C among Beijing college students was 97 and the differences of C between different majors and different grades were both statistically significant.