Categorizing human diseases provides higher efficiency and accuracy for disease diagnosis, prognosis, and treatment. Disease-disease association (DDA) is a precious information that indicates the large-scale structure of complex relationships of diseases. However, the number of known and reliable associations is very small. Therefore, identification of DDAs is a challenging task in systems biol...

Credit scoring methods aim to assess credit worthiness of potential borrowers to keep the risk of credit loss low and to minimize the costs of failure over risk groups. Standard parametric approaches as logistic discrimination analysis assume that the probability of belonging to the group of ”bad” clients is given by P (Y = 1|X) = F (βX), with Y = 1 indicating a ”bad” client and X denoting the ...

The effectiveness of machine learning in evaluating the creditworthiness loan applicants has been demonstrated for a long time. However, there is concern that use automated decision-making processes may result unequal treatment groups or individuals, potentially leading to discriminatory outcomes. This paper seeks address this issue by 12 bias mitigation methods across 5 different fairness metr...