Effective factors on accuracy of principal diagnosis coding based on International Classification of Diseases,the 10th revision (ICD-10)

Quality of diagnostic data depends on accurate coding. The purpose of this study was to assess the accuracy of principal diagnosis coding and its effective factors. To achieve this aim, three hundred and seventy medical records were randomly selected and recoded blindly (as gold standard). The effects of possible factors on accuracy of coding which was gathered through observation method were analyzed by Chi-square (χ²), Fisher exact test, odds ratio (OR), and confidence interval 95% for OR.     

On nonlinear systems diagnosis using differential and algebraic methods

In this paper we tackle the diagnosis problem in nonlinear systems under failure using differential algebra. Three examples are presented in order to apply the proposed methodology. Numerical simulations of these examples are presented to illustrate the effectiveness of the suggested approach.     

Case Report: Liquid-based cytology aids in primary fallopian tube cancer diagnosis

Primary fallopian tube carcinoma (PFTC) is a rare malignant carcinoma among all genital tract malignancies. It occurs most commonly in postmenopausal women and is similar to ovarian malignancy historically and clinically. Because of its insidious onset and silent course, the diagnosis is made usually postoperatively. Liquid-based cytology (LBC) is a type of method for cervical cancer screening, but sometimes it may aid in making PFTC diagnosis. We report a 47-year-old woman with PFTC, whose diagnosis was made with the aid of LBC.     

Recent advances in the use of the CRISPR-Cas system for the detection of infectious pathogens

Infectious diseases cause great economic loss and individual and even social anguish. Existing detection methods lack sensitivity and specificity, have a poor turnaround time, and are dependent on expensive equipment. In recent years, the clustered regularly interspaced short palindromic repeats (CRISPR)‍-CRISPR-associated protein (Cas) system has been widely used in the detection of pathogens that cause infectious diseases owing to its high specificity, sensitivity, and speed, and good accessibility. In this review, we discuss the discovery and development of the CRISPR-Cas system, summarize related analysis and interpretation methods, and discuss the existing applications of CRISPR-based detection of infectious pathogens using Cas proteins. We conclude the challenges and prospects of the CRISPR-Cas system in the detection of pathogens.     

基于支持向量机的诊断方法研究

根据支持向量机原理,对线性可分与线性不可分两种情况分别建立了分类模型,模型的求解转化为一个二次规划问题,在选用径向基核函数的参数时运用网格搜索的方法进行选取最优参数。在应用到乳房肿瘤的医疗诊断中,准确率为93.00%,较以前的方法有了明显的提高。     

人工神经网络机械故障诊断方法及其应用

本文阐述了利用人工神经网络模型诊断减速机轴承故障的方法,建立了诊断用的BP网络模型,并对网络模型进行了试验验证。     

Diagnostic value of optic disc retinal nerve fiber layer thickness for diabetic peripheral neuropathy

Journal of Zhejiang University-SCIENCE B - To investigate the value of optic disc retinal nerve fiber layer (RNFL) thickness in the diagnosis of diabetic peripheral neuropathy (DPN). Ninety...     

血细胞形态学检查诊断深部真菌感染探讨

目的:探讨血细胞形态学变化对深部真菌感染的诊断价值;方法:常规方法对深部真菌感染患者的外周血和骨髓进行血细胞形态学检查;结果:发现粒细胞系统反应性增生,并有较特异的形态学改变。主要为中性粒细胞的颗粒增多和空泡变性;结论:血细胞形态学变化对深部真菌感染具有提示性诊断价值。结合患者的临床资料,可对深部真菌感染作出初步诊断。     

强迫症的诊断研究综述

文章对于强迫症从诊断,鉴别诊断和共病研究的新进展进行了综述,并进一步比较了国内外三个诊断标准对强迫症的诊断不同之处。