Medicine and Health Sciences Commons^™

Predicting Adverse Outcomes In Chronic Kidney Disease Using Machine Learning Methods: Data From The Modification Of Diet In Renal Disease, Zeid Khitan, Anna P. Shapiro, Preeya T. Shah, Juan R. Sanabria, Prasanna Santhanam, Komal Sodhi, Nader G. Abraham, Joseph I. Shapiro

Marshall Journal of Medicine

Background: Understanding factors which predict progression of renal failure is of great interest to clinicians.

Objectives: We examined machine learning methods to predict the composite outcome of death, dialysis or doubling of serum creatinine using the modification of diet in renal disease (MDRD) data set.

Methods: We specifically evaluated a generalized linear model, a support vector machine, a decision tree, a feed-forward neural network and a random forest evaluated within the context of 10 fold validation using the CARET package available within the open source architecture R program.

Results: We found that using clinical parameters available at entry into the …

Characteristics Of Pelt Follicles And Their Relationship With Pelt Quality In Fat-Tailed Gray Shirazy Sheep, Mazaher Safdarian, Majid Hashemi, Mohammad Reza Hashemi

Turkish Journal of Veterinary & Animal Sciences

The purpose of the present investigation was to measure pelt follicle characters after birth and to determine the relationship among pelt and follicle characters in fat-tailed Gray Shirazy sheep. Skin samples were taken from 150 lambs at 1 and at 120 days of age and from their parents (18 rams and 150 ewes) using a biopsy punch (8 mm in diameter) from the right mid-side of the body. Several sections of 8 µm were then prepared, mounted, and stained on glass slides to determine follicle characteristics. The least square means of primary (P) follicle density/mm2 in skin of 1- and …