Objective In order to assess the present status of the prophylaxis and the eliminating process for iodine deficiency disorders (IDD) in Guizhou province. Methods Guiyang, Douyun and Kaili regions were selected as IDD monitoring spots of Guizhou province. In these districts, the monitoring indicators for IDD were determined and compared with those ten years ago. Results From 1999 to 2000 in Guiyang, Douyun and Kaili: (1) Themeansofiodineconcentrationiniodized salt of households were 43.6 mg/kg, 43.2 mg/kg and 45.3 mg/kg, respectively, and the qualified rates were 97.5%, 95.8% and 97.9%, respectively, all of them were obviously higher than those ten years ago (P5 mIU/L were in 18.0%, 21.8% and 20.0% infants, respectively, obviously descended from those ten years ago (P

Abstract Survival analysis has been widely used in the field of medical research. The Cox proportional hazard model is commonly used, but its practical application is limited. Machine learning method can compensate for the shortcomings of the Cox proportional hazard model in terms of nonlinear data processing and prediction accuracy. This article reviewed the advance of machine learning methods represented by neural networks, within the field of survival analysis, and highlighted the principles and benefits of three machine learning methods that DeepSurv, Deep-Hit and random survival forest, providing methodological insights for the analysis of complex survival data.

In order to improve the research and innovation ability of medical undergraduates, this article summarizes the main problems in the cultivation of innovation ability among medical undergraduates through literature research and the authors' experience in the teaching and research from the three aspects of limited knowledge system, a lack of professional guidance for research training, and poor integration of scientific research into clinical practice. It is proposed that the methods of developing the ability to search and read scientific literature among undergraduate students, enhancing interdisciplinary activities and joint training, and building a teaching team of clinicians with extensive research experience can help to achieve a more effective integration of theoretical research and clinical practice and thus cultivate the research and innovation ability among medical students. These initiatives have made significant achievements and provide a reference for decision making in undergraduate research training in medical colleges and universities, as well as guidance for talent cultivation in medical colleges and universities in China.