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Machine learning models for predicting patients survival after liver transplantation

Jarmulski W., Wieczorkowska A., Trzaska M., Ciszek M., Paczek L.

Computer Science

2018

Vol. 19 (2)

223--239

In our work, we have built models predicting whether a patient will lose an organ after a liver transplant within a specified time horizon. We have used the observations of bilirubin and creatinine in the whole first year after the transplantation to derive predictors, capturing not only their static value but also their variability. Our models indeed have a predictive power that proves the value of incorporating variability of biochemical measurements, and it is the first contribution of our paper. As the second contribution we have identified that full-complexity models such as random forests and gradient boosting lack sufficient interpretability despite having the best predictive power, which is important in medicine. We have found that generalized additive models (GAM) provide the desired interpretability, and their predictive power is closer to the predictions of full-complexity models than to the predictions of simple linear models.

Analiza kosztów prac projektowych hal stalowych według standardów środowiskowych, zaleceń prawnych i cen rynkowych

Rogalska M., Hejducki Z

Budownictwo i Architektura

2013

Vol. 12, nr 1

61--68

W artykule przedstawiono analizę cen prac projektowych na przykładzie danych rynkowych i obliczeń prognostycznych, dotyczących opracowania dokumentacji hal stalowych o zróżnicowanych wymiarach. Otrzymane wartości porównywano z kosztami prac projektowych proponowanymi przez Stowarzyszenie Architektów Rzeczpospolitej Polskiej (SARP) i zaleceniami prawnymi. Do obliczeń prognostycznych zastosowano program Statistica firmy StatSoft. Do obliczeń wykorzystano metodę GAM (uogólnionych modeli addytywnych).

The article presents the analysis of designing costs , which was based on the market data and prognostic calculations, concerning the preparation of the documentation for steel halls of various sizes. The obtained values were compared to those proposed by the Polish Architects Association and legal guidelines. The StatSoft’s Statistica programme was used for prognostic calculations. The GAM (Generalized Additive Models) method was used for the calculations. The conclusions were formulated on the basis of analysis of results.