全文获取类型
收费全文 | 161篇 |
免费 | 5篇 |
专业分类
耳鼻咽喉 | 1篇 |
基础医学 | 62篇 |
口腔科学 | 1篇 |
临床医学 | 28篇 |
内科学 | 2篇 |
神经病学 | 6篇 |
特种医学 | 27篇 |
外科学 | 7篇 |
综合类 | 7篇 |
预防医学 | 10篇 |
药学 | 11篇 |
肿瘤学 | 4篇 |
出版年
2022年 | 6篇 |
2021年 | 7篇 |
2020年 | 5篇 |
2019年 | 7篇 |
2018年 | 10篇 |
2017年 | 6篇 |
2016年 | 13篇 |
2015年 | 15篇 |
2014年 | 15篇 |
2013年 | 9篇 |
2012年 | 17篇 |
2011年 | 10篇 |
2010年 | 5篇 |
2009年 | 14篇 |
2008年 | 8篇 |
2007年 | 5篇 |
2006年 | 4篇 |
2005年 | 4篇 |
2004年 | 1篇 |
2003年 | 1篇 |
2002年 | 4篇 |
排序方式: 共有166条查询结果,搜索用时 93 毫秒
161.
目的:提高住院药房的工作效率和服务质量。方法:改进传统工作流程,实行"药品统一编码,小组分区包干,全员流水作业"的工作模式。结果与结论:住院药房通过改进工作流程,明确了责任分工,提高了工作效率。 相似文献
162.
Athanasios Voulodimos Dimitrios KosmopoulosGalina Veres Helmut GrabnerLuc Van Gool Theodora Varvarigou 《Neural networks》2011,24(8):852-860
Modelling and classification of time series stemming from visual workflows is a very challenging problem due to the inherent complexity of the activity patterns involved and the difficulty in tracking moving targets. In this paper, we propose a framework for classification of visual tasks in industrial environments. We propose a novel method to automatically segment the input stream and to classify the resulting segments using prior knowledge and hidden Markov models (HMMs), combined through a genetic algorithm. We compare this method to an echo state network (ESN) approach, which is appropriate for general-purpose time-series classification. In addition, we explore the applicability of several fusion schemes for multicamera configuration in order to mitigate the problem of limited visibility and occlusions. The performance of the suggested approaches is evaluated on real-world visual behaviour scenarios. 相似文献
163.
164.
Social network analysis is an increasingly popular sociological method used to describe and understand the social aspects of communication patterns in the health care sector. The networks studied in this area are special because they are small, and for these sizes, the metrics calculated during analysis are sensitive to the number of people in the network and the density of observed communication. Validation is of particular value in controlling for these factors and in assisting in the accurate interpretation of network findings, yet such approaches are rarely applied. Our aim in this paper was to bring together published case studies to demonstrate how a proposed validation technique provides a basis for standardised comparison of networks within and across studies. A validation is performed for three network studies comprising ten networks, where the results are compared within and across the studies in relation to a standard baseline. The results confirm that hierarchy, centralisation and clustering metrics are highly sensitive to changes in size or density. Amongst the three case studies, we found support for some conclusions and contrary evidence for others. This validation approach is a tool for identifying additional features and verifying the conclusions reached in observational studies of small networks. We provide a methodological basis from which to perform intra-study and inter-study comparisons, for the purpose of introducing greater rigour to the use of social network analysis in health care applications. 相似文献
165.
科研经费是科研项目有效开展的重要资源,能否合理使用不仅关系到项目完成质量、效益及经费的投向与投量,管理借助计算机及网络的优势,将工作流的概念引入科研经费网络化管理平台,凸显审批流在工作流管理系统中的特色,实现了科研经费多部门的数据共享与一体化。医院科研经费网络化管理平台有利于提高经费使用效益并强化了科研经费监督与全过程管理。 相似文献
166.
Bradley J. Erickson 《Journal of digital imaging》2011,24(4):694-699
The purpose of this article is to describe a system we developed for importing images on compact discs (CDs) from external
imaging departments into our clinical image viewing system, and to report on key metrics regarding veracity of information
seen on the CDs. We recommend careful attention to the process of CD importation because of the error rate we have seen. We
developed a system and process for importing images on CD into our EMR. The importation system scans the CD for digital imaging
and communications in medicine (DICOM) images, and collects all patient information seen. That information is presented to
the patient for verification. Once validated, the image data is copied into our clinical viewing system. The importation system
includes facilities for collecting instances of incorrect data. About 90% of images are now exchanged between our healthcare
enterprise and other entities via CD. Data for the wrong patient (e.g., the wrong CD) is seen in about 0.1% of cases, and
a similar number of CDs have data for more than one patient on the CD(s) the patient bring to our facility. Most data are
now exchanged via DICOM files. DICOM images burned onto CD media are now commonly used for image exchange. However, applications
to import DICOM images are not enough. One must implement a process to assure high confidence that the data imported belongs
to the patient you are importing. 相似文献