Improved dynamic connection detection power in estimated dynamic functional connectivity considering multivariate dependencies between brain regions

To estimate dynamic functional connectivity (dFC), the conventional method of sliding window correlation (SWC) suffers from poor performance of dynamic connection detection. This stems from the equal weighting of observations, suboptimal time scale, nonsparse output, and the fact that it is bivariate. To overcome these limitations, we exploited the kernel‐reweighted logistic regression (KELLER) algorithm, a method that is common in genetic studies, to estimate dFC in resting state functional magnetic resonance imaging (rs‐fMRI) data. KELLER can estimate dFC through estimating both spatial and temporal patterns of functional connectivity between brain regions. This paper compares the performance of the proposed KELLER method with current methods (SWC and tapered‐SWC (T‐SWC) with different window lengths) based on both simulated and real rs‐fMRI data. Estimated dFC networks were assessed for detecting dynamically connected brain region pairs with hypothesis testing. Simulation results revealed that KELLER can detect dynamic connections with a statistical power of 87.35% compared with 70.17% and 58.54% associated with T‐SWC (p‐value = .001) and SWC (p‐value <.001), respectively. Results of these different methods applied on real rs‐fMRI data were investigated for two aspects: calculating the similarity between identified mean dynamic pattern and identifying dynamic pattern in default mode network (DMN). In 68% of subjects, the results of T‐SWC with window length of 100 s, among different window lengths, demonstrated the highest similarity to those of KELLER. With regards to DMN, KELLER estimated previously reported dynamic connection pairs between dorsal and ventral DMN while SWC‐based method was unable to detect these dynamic connections.     

The effect of malpractice law on physician supply: Evidence from negligence-standard reforms

We explore whether the composition of the physician workforce is impacted by the clinical standards imposed on physicians under medical liability rules. Specifically, we explore whether the proportion of non-surgeons practicing in a region decreases—and thus whether the proportion of surgeons increases—when liability standards are modified so as to expect that physicians practice more intensively. For these purposes, we draw on a quasi-experiment made possible by states shifting from local to national customs as the basis for setting liability standards. Using data from the Area Health Resource File from 1977 to 2005, we find that the rate of non-surgeons among practicing physicians decreases by 2–2.4 log points (or by 1.4–1.7 percentage points) following the adoption of national-standard laws in initially low surgery-rate regions—i.e., following a change in the law that effectively expects physicians to increase their use of surgical approaches.     

热敏灸治疗顽固性呃逆案

热敏灸作为一种新型的灸疗方法,《医宗金鉴》中述“凡灸诸病,必火足气到,始能求愈”,故热敏灸讲究“敏消量足”,举一临床顽固性呃逆病案加以细说。     

Excavating the Personal Genome: The Good Biocitizen in the Age of Precision Health

The rise of genomic technologies has catalyzed shifts in the health care landscape through the commercialization of genome sequencing and testing services in the genomics marketplace. The development of consumer genomics into a growing array of information technologies aimed at collecting, curating, and broadly sharing personal data and biological materials reconstitutes the meaning of health and reframes patients into biocitizens. In this context, the good biocitizen is expected to assume personal responsibility for health through consumption of genomic information and acquiescence to public and private efforts at data surveillance and aggregation. These shifts raise fundamental questions about how competing interests of the public, the state, and corporate entities will be reconciled and what trade-offs are demanded for the promise of precision health.     

口语化疾病名称向国际规范疾病术语集的映射研究

目的：研究患者口语化疾病名称到术语疾病名称的映射，解决在线口语化疾病名称难以有效利用的问题。方法：抓取“微医网”上患者口语中的疾病名，将PubMed摘要、百度搜索页摘要与百科内容作为语料，训练词向量，用余弦距离计算相似度，由2名具有临床知识和从业经验的编码人员对结果的准确性进行检验。结果：将最相似词条的参数TopN设置为>= 30的时候效果比较好，映射到大类和细类的准确性分别稳定在60%和70%左右。结论：利用词向量将口语化疾病名称映射到国际疾病术语集，具有较强的通用性和可行性，对于在线问诊、智能分诊甚至自动化编码具有明显的参考借鉴价值。     

患者安全目标:加强医学装备安全与警报管理

阐述医疗器械使用安全与警报管理的意义和内涵，分析医疗器械使用安全与警报的风险点，探讨建立医疗器械使用安全与警报风险防范体系的方案，列举了医疗器械使用安全与警报管理的实践案例。     

关于医学硕士研究生科研写作能力的培养思考

随着国家社会经济的高速发展,各领域都需要更多高层次拔尖创新性人才。我国医药卫生事业的快速、稳定发展将会直接关系国民生命的健康,这就需要培养大量硕士研究生及以上的医学高层次人才。目前,医学硕士研究生还存在着科研能力不足的现状,而科研写作是科研水平和科研质量的呈现,是增强沟通、提高创新性的必然媒介。就如何培养提高医学硕士研究生写作能力内外部影响因素进行了阐述,并提出了改善方法。