Data mining-based model and risk prediction of colorectal cancer by using secondary health data:A systematic review

Objective:Prevention and early detection of colorectal cancer(CRC)can increase the chances of successful treatment and reduce burden.Various data mining technologies have been utilized to strengthen the early detection of CRC in primary care.Evidence synthesis on the model’s effectiveness is scant.This systematic review synthesizes studies that examine the effect of data mining on improving risk prediction of CRC.Methods:The PRISMA framework guided the conduct of this study.We obtained papers via Pub Med,Cochrane Library,EMBASE and Google Scholar.Quality appraisal was performed using Downs and Black’s quality checklist.To evaluate the performance of included models,the values of specificity and sensitivity were comparted,the values of area under the curve(AUC)were plotted,and the median of overall AUC of included studies was computed.Results:A total of 316 studies were reviewed for full text.Seven articles were included.Included studies implement techniques including artificial neural networks,Bayesian networks and decision trees.Six articles reported the overall model accuracy.Overall,the median AUC is 0.8243[interquartile range(IQR):0.8050-0.8886].In the two articles that reported comparison results with traditional models,the data mining method performed better than the traditional models,with the best AUC improvement of 10.7%.Conclusions:The adoption of data mining technologies for CRC detection is at an early stage.Limited numbers of included articles and heterogeneity of those studies implied that more rigorous research is expected to further investigate the techniques’effects.

Variation and Correlation of Erucic Acid,Oleic Acid and Glucosinolate Contents in Brassica rapa Seeds

In order to screen and identify excellent breeding resources and provide basic materials for Brassica rapa breeding,the contents of erucic acid,oleic acid and glucosinolate in 84 kinds of B. rapa were determined by near-infrared spectroscopy,and the correlations among them were also analyzed. The results showed that the content of erucic acid and oleic acid were significantly negatively correlated,the contents of erucic acid and glucosinolate were significantly positively correlated,while the contents of oleic acid and glucosinolate were significantly negatively correlated; principal component analysis( PCA) were performed on the population materials,factors 1 and 2 were extracted for plotting,factor 1 and factor 2 could explain 73. 7% and 23. 2% of the phenotypic variation,respectively; through cluster analysis,79 materials aggregated to form group I,and five special variants deviated from the population. The variation of erucic acid,oleic acid and glucosinolates in B. rapa populations was rich and there was significant correlation. Through cluster analysis,five excellent B. rapa breeding materials( No. 32,No. 45,No. 46,No. 50,and No. 59) were screened.

The public-private partnerships in healthcare sector in China

This manuscript is a narrative review on experience in the healthcare public-private partnerships(PPP)field project in China.The PPP model allows healthcare officials to share the risk of building new facilities with the private sector.The objective of this study is to evaluate and to review the PPP of healthcare sector in China,and to investigate the critical success factors and best practice of PPP.We adapted the PPP evaluation framework of the World Bank Independent Evaluation Group as our conceptual framework to summarize the literatures.The current study systematically reviewed the evolution and current status of public and private hospitals development in China,and to investigate factors related to the successful and less successful deployment and performance of PPP in the healthcare sector of China,and to develop best practice models of PPP among hospitals of China.We found that the PPP organizations providing finance and political risk coverage,thus enabling specific PPP transactions to reach financial closure-potentially setting demonstration effects.Such PPPs may then contribute to improving access to infrastructure and social services,which drives economic growth and other optimal outcomes.