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Background: This study aimed to develop and validate a radiomics score to predict the long-term survival and patterns of recurrence of gastric cancer (GC). Methods: A total of 513 patients who underwent radical gastrectomy for GC after curative resection between 2008 and 2016 at two institutions were analyzed. A radiomics score was generated using the least absolute shrinkage and selection operator Cox regression model on 327 patients and was validated in 186 patients. A nomogram consisting of the radiomics score and clinicopathological factors was created and compared with the tumor-lymph node-metastasis (TNM) staging system. Model performance was assessed using calibration, discrimination, and clinical usefulness. Results: The radiomics score was established based on five selected features. A higher score was significantly associated with poorer recurrence-free survival (RFS) and overall survival (OS) rates, both in the training and validation cohorts ( P < 0.05). Multivariate analysis demonstrated that the radiomics score was an independent prognostic factor for both RFS and OS ( P < 0.05). A nomogram incorporating the radiomics score had a significantly better prognostic value than the TNM system alone. Moreover, a high score was significantly associated with an increased risk of distant recurrence, a medium score was significantly associated with an increased risk of peritoneal recurrence, and a low score was significantly associated with an increased risk of locoregional recurrence, in the entire cohort ( P < 0.05). Conclusions: The newly proposed radiomics score may be a powerful predictor of long-term outcomes and recurrence patterns of GC. Further studies are warranted to confirm these findings.

The National Basketball Association is the men's professional basketball league in North America. The National Basketball Association league has some of the highest paid professional athletes in the world. The National Basketball Association is the oldest and most prestigious basketball league in the world, which makes the study of the NBA particularly important. During the 2011-2012 season, the season was cancelled after senior staff and team members failed to reach an agreement due to serious differences of opinion in labour management negotiations. The main reason was that the NBA believed that the players' salaries were too high, which left little profit for the NBA and even increased the NBA's losses. Since the ideal interests of management and the interests of labor did not exactly match, both sides made concessions and reached an agreement. Finally, the season resumed. For most NBA clubs, the salary of each player is usually confirmed before the performance in the next game. However, this makes the question of how to determine the amount more difficult. Players’ salaries should match their performance. If the player does not meet salary expectations, the club is losing money. If a player finds that he gets paid less than his income based on 61 games that year, the club may lose that player and reputation. In this paper, we summarize previous approaches for salary forecasting and categorize them into: (i) linear regression, (ii) modelling approach, and (iii) non-linear regression and (iv) K-nearest neighbour classifier and provide guiding idea for future work.