Although the maximum likelihood estimation (MLE) for uncertain discrete models has long been an academic interest, it yet to be proposed in literature. Thus, this study proposes MLE framework of uncertainty theory, such as logistic regression model. We also generalize by Lio and Liu obtain non-linear continuous models, Box-Cox Our methods provide a useful tool making inferences regarding data t...

cancer is considered as a challenging deathly disease and discovering or synthesis of new cytotoxic agents is a worldwide attempt. in this study, a group of recently synthesized chalcones, with the structure of 1,3-diarylprop-2-en-1-one having differesnt cox-1 and/or cox-2 selectivities, have been examined on human hepatocarcinoma (hepg2), lung carcinoma (a549), and breast adenocarcinoma (mcf-7...

Cancer is considered as a challenging deathly disease and discovering or synthesis of new cytotoxic agents is a worldwide attempt. In this study, a group of recently synthesized chalcones, with the structure of 1,3-diarylprop-2-en-1-one having differesnt COX-1 and/or COX-2 selectivities, have been examined on human hepatocarcinoma (HepG2), lung carcinoma (A549), and breast adenocarcinoma (MCF-7...

Cancer is considered as a challenging deathly disease and discovering or synthesis of new cytotoxic agents is a worldwide attempt. In this study, a group of recently synthesized chalcones, with the structure of 1,3-diarylprop-2-en-1-one having differesnt COX-1 and/or COX-2 selectivities, have been examined on human hepatocarcinoma (HepG2), lung carcinoma (A549), and breast adenocarcinoma (MCF-7...

Over the last few decades, machine learning and data mining have been increasingly used for clinical prediction in ICUs. However, there is still a huge gap in making full use of the time-series data generated from ICUs. Aiming at filling this gap, we propose a novel approach entitled Time Slicing Cox regression (TS-Cox), which extends the classical Cox regression into a classification method on...