Predicting postoperative complications for gastric cancer patients using data mining

Gastric cancer refers to the development of malign cells that can grow in any part of the stomach. With the vast amount of data being collected daily in healthcare environments, it is possible to develop new algorithms which can support the decision-making processes in gastric cancer patients treatment. This paper aims to predict, using the CRISP-DM methodology, the outcome from the hospitalization of gastric cancer patients who have undergone surgery, as well as the occurrence of postoperative complications during surgery. The study showed that, on one hand, the RF and NB algorithms are the best in the detection of an outcome of hospitalization, taking into account patients’ clinical data. On the other hand, the algorithms J48, RF, and NB offer better results in predicting postoperative complications.FCT - Fundação para a Ciência e a Tecnologia (UID/CEC/00319/2013

Molecular genetics study on population of Salmo trutta caspius spring and autumn forms in Southern Caspian Sea using microsatellite marker method basin and establish an alive gene bank

Caspian brown trout (Salmo trutta caspius) is an important from the point of economy. In this study genetic diversity of (Salmo trutta caspius) was investigated using microsatellite markers from two regions of the Iranian coastline of Southern Caspian Sea (Cheshmeh Kileh River in Mazandaran Province and Karganrud River in Gilan Province). The purpose of this research was the study of Salmo trutta caspius possible populations related to genetic diversity and population structure in the Caspian Sea and introducing the useful genetic markers. For this purpose the number 225 fishes from two Rivers were collected. DNA was extracted and amplified with 16 pairs of microsatellite primers using Polymerase Chain Reaction (PCR). The amplified products were loaded on polyacrylamide gels and bands were analyzed using Gene Alex and Pop Gene soft wares. Observed and expected heterozygosity averages were 0.46 ± 0.09 and 0.60 ± 0.10, respectively. According to the results from this study, Genetic polymorphism has been seen in this population