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1.
目的 探索Kolb学习模型在护理实习生人文关怀能力培养中的应用效果。方法 以2019年6月和2020年6月进入昆山市中医医院临床实习的护生作为研究对象,其中2019年实习的护生109名为对照组,2020年实习的护生116名为观察组。观察组采取基于Kolb学习模型的人文关怀临床带教,对照组采取传统方法行人文关怀临床带教。实习结束时分别采用护生人文关怀量表和自主学习能力量表来测评两组护生的学习效果。结果 观察组护生人文关怀能力和自主学习能力各维度得分均高于对照组,差异具有统计学意义(P<0.01,P<0.05)。结论 Kolb学习模型应用于护生人文关怀教学中,可以提高护生人文关怀能力及自主学习能力,提升教学质量。  相似文献   
2.
We propose a Deep learning-based weak label learning method for analyzing whole slide images (WSIs) of Hematoxylin and Eosin (H&E) stained tumor tissue not requiring pixel-level or tile-level annotations using Self-supervised pre-training and heterogeneity-aware deep Multiple Instance LEarning (DeepSMILE). We apply DeepSMILE to the task of Homologous recombination deficiency (HRD) and microsatellite instability (MSI) prediction. We utilize contrastive self-supervised learning to pre-train a feature extractor on histopathology tiles of cancer tissue. Additionally, we use variability-aware deep multiple instance learning to learn the tile feature aggregation function while modeling tumor heterogeneity. For MSI prediction in a tumor-annotated and color normalized subset of TCGA-CRC (n=360 patients), contrastive self-supervised learning improves the tile supervision baseline from 0.77 to 0.87 AUROC, on par with our proposed DeepSMILE method. On TCGA-BC (n=1041 patients) without any manual annotations, DeepSMILE improves HRD classification performance from 0.77 to 0.81 AUROC compared to tile supervision with either a self-supervised or ImageNet pre-trained feature extractor. Our proposed methods reach the baseline performance using only 40% of the labeled data on both datasets. These improvements suggest we can use standard self-supervised learning techniques combined with multiple instance learning in the histopathology domain to improve genomic label classification performance with fewer labeled data.  相似文献   
3.
AimThe purpose of this integrative review is to provide a comprehensive review of ethical considerations for host communities and nursing programs in planning, implementing and evaluating global health experiences for nursing students.BackgroundGlobal health experiences for nursing students are proliferating rapidly across university settings while at the same time decreasing the average time spent in the host country engaged with local communities. Global health experiences are an area where students can experience ethics as it is applied across varied contexts including resource limited international settings. As nursing education expands its global programming, exploring the ethical implications of designing, implementing and evaluating GHEs becomes pivotal to build respectful, sustainable relationships with global partners and best prepare nursing students for ethical professional practice in an interconnected world.DesignWe conducted an integrative review to examine ethical considerations in development of ethical global health experiences that benefit, rather than harm, host communities and participating nursing student guests.MethodsThe search included articles published in English language, peer-reviewed journals between 1998 and 2021 that discussed ethics in the context of nursing students traveling internationally for global health experiences. Eighteen articles met criteria for review.ResultsOverall, findings demonstrate relatively little research specific to ethical engagement in global health experiences. The articles in this integrative review discussed a range of ethical attributes including reciprocity or collaboration, respect, sustainability or commitment, justice and openness. Recommendations based on research and non-research articles are provided.ConclusionsEthical comportment in global health experiences requires careful planning, implementation and evaluation to assure an equitable and sustainable partnership between host community, faculty and nursing student guests.  相似文献   
4.
甲状腺结节、乳腺结节与子宫肌瘤都是女性常见疾病。随着人们健康意识的提高以及超声检查的广泛应用,3种疾病的检出率不断升高。近年来西医及中医学研究均发现,甲状腺结节、乳腺结节与子宫肌瘤的发生存在一定的关联性。西医学研究认为,三者均归属于下丘脑-垂体-腺体轴,均受雌激素水平影响,有相似的生理病理基础;从中医学理论分析,甲状腺、乳腺与胞宫位于足厥阴肝经所过之处,均会受情志因素影响,气郁、瘀血、痰浊是其共同的病理产物,治疗都以疏肝散结为治疗总则,故3种疾病在中医病因病机及治疗上有相似之处。本文从西医、中医发病机制角度,重新认识甲状腺结节、乳腺增生与子宫肌瘤内在相关性,以期临床中实现早预防、早诊断、早治疗。  相似文献   
5.
冠心病的发生、发展与中医体质存在密切关系。冠心病患者在遗传物质的差异、生长地域环境的不同等影响因素下表现出中医体质类型的差异性。诸多体质学研究发现冠心病患者以偏颇体质、兼夹体质为主。中医体质研究从宏观角度反映冠心病患者的疾病特质,中医体质分布规律的研究对冠心病的认识具有重要意义,本文就近10年来冠心病中医体质类型分布、客观化研究及临床应用研究相关进展作一综述。  相似文献   
6.
中国传统运动疗法作为极具特色的康养健身运动疗法,在防病治病中的宝贵价值备受国际康复医学界关注。而慢性筋骨病是骨伤科临床中的常见病、多发病与疑难杂病,临床呈现出“一大五多五高”的特征,成为当前重大的健康问题与临床防治研究课题。本文通过深入探究中国传统运动疗法特点以及其在慢性筋骨病康复中的应用原理、原则及优势作用,提出以传统运动疗法为依托,构建慢性筋骨病防病治病应用方法模式;以三因制宜为指导,构建医院-社区-团体-患者为一体的康复管理模式;以“治未病”工程为支撑,构建慢性筋骨病管理信息资源共享平台模式;为切实提高防、控、治的能力与水平找准抓手与路径,为构建慢性筋骨病康复模式提供新的思路与方向。  相似文献   
7.
BackgroundDissection of lymph nodes at the roots of the inferior mesenteric artery (IMAN) should be offered only to selected patients at a major risk of developing IMAN involvement. The aim of this study is to present the first artificial intelligence (AI) models to predict IMAN metastasis risk in the left colon and rectal cancer patients.MethodsA total of 2891 patients with descending colon including splenic flexure, sigmoid colon and rectal cancer undergoing major primary surgery and IMAN dissection were included as a study cohort, which was then split into a training set (67%) and a testing set (33%). Feature selection was conducted using the least absolute shrinkage and selection operator (LASSO) regression model. Seven AI algorithms, namely Support Vector Machine (SVM), Logistic Regression (LR), Extreme Gradient Boosting (XGB), Light Gradient Boosting (LGB), Decision Tree Classifier (DTC), Random Forest (RF) classifier, and Multilayer Perceptron (MLP), as well as traditional multivariate LR model were employed to construct predictive models. The optimal hyperparameters were determined with 5 fold cross-validation. The predictive performance of models and the expert surgeon was assessed and compared in the testing set independently.ResultsThe IMAN involvement incidence was 4.6%. The optimal set of features selected by LASSO included 10 characteristics: neoadjuvant treatment, age, synchronous liver metastasis, synchronous lung metastasis, signet ring adenocarcinoma, neural invasion, lymphovascular invasion, CA199, endoscopic obstruction, T stage evaluated by MRI. The most accurate model derived from MLP showed excellent prediction power with area under the receiver operating characteristic curve (AUROC) of 0.873 and produced 81.0% recognition sensitivity and 82.5% specificity in the testing set independently. In contrast, the judgment of IMAN metastasis by expert surgeon yield rather imprecise and unreliable results with a significantly lower AUROC of 0.509. Additionally, the proposed MLP had the highest net benefits and the largest reduction of unnecessary IMAN dissection without the cost of additional involved IMAN missed.ConclusionMLP model was able to maintain its prediction accuracy in the testing set better than other models and expert surgeons. Our MLP model could be used to help identify IMA nodal metastasis and to select candidates for individual IMAN dissection.  相似文献   
8.
Maximising access to and the success of fertility treatments should be a priority for global reproductive health, as should overall patient well-being. The demand for in vitro fertilization (IVF) and other assisted fertility treatments has increased over the past decade and is likely to further increase in years to come. Nevertheless, there is still considerable unmet demand for infertility support worldwide. Moreover, the high emotional, physical and financial burden experienced by individuals undergoing IVF cycles can be a risk for their mental and physical health, which in turn can influence treatment continuation and the likelihood of IVF success. Studies from various parts of the world show that most individuals undergoing IVF also use adjunct alternative medicines and procedures, the most common being traditional Chinese medicine (TCM). The complementary and synergistic role of TCM for individuals undergoing IVF is an area that merits further attention and research, both for its potential positive effects on IVF success rates and for its broader physical and mental health benefits. However, much of the existing evidence is not sufficiently robust or consistent for findings to be adopted with confidence. This commentary argues that much work must be done to understand the efficacy and clinical best practices for these integrated approaches. This can be achieved in part by developing more robust and clinically relevant randomized controlled trial protocols, collecting and triangulating evidence through a variety of study designs and methods, and strengthening the collection and pooling of clinic-level data.  相似文献   
9.
《Genetics in medicine》2022,24(11):2329-2337
PurposeThe variable expressivity and multisystem features of Noonan syndrome (NS) make it difficult for patients to obtain a timely diagnosis. Genetic testing can confirm a diagnosis, but underdiagnosis is prevalent owing to a lack of recognition and referral for testing. Our study investigated the utility of using electronic health records (EHRs) to identify patients at high risk of NS.MethodsUsing diagnosis texts extracted from Cincinnati Children’s Hospital’s EHR database, we constructed deep learning models from 162 NS cases and 16,200 putative controls. Performance was evaluated on 2 independent test sets, one containing patients with NS who were previously diagnosed and the other containing patients with undiagnosed NS.ResultsOur novel method performed significantly better than the previous method, with the convolutional neural network model achieving the highest area under the precision-recall curve in both test sets (diagnosed: 0.43, undiagnosed: 0.16).ConclusionThe results suggested the validity of using text-based deep learning methods to analyze EHR and showed the value of this approach as a potential tool to identify patients with features of rare diseases. Given the paucity of medical geneticists, this has the potential to reduce disease underdiagnosis by prioritizing patients who will benefit most from a genetics referral.  相似文献   
10.
目的评价沉浸式基于问题的学习(PBL)模式在血液净化血管通路教学中的效果。 方法研究对象为2019年9月至2021年9月贵州省各地医院参加血液净化血管通路培训的各级专科医生,前4期学员采取传统教学模式为对照组,后4期学员采用沉浸式PBL教学模式为研究组。培训结束后从理论知识、技能、满意度、评判性思维能力和带教老师自评方面进行考核。 结果与对照组相比,研究组的理论知识分数、临床操作技能分数,对培训的形式、规模、带教老师知识储备、培训效果的满意度,以及在寻求真相、求知欲、认知成熟度、系统化能力、分析能力及评判性思维能力方面的总分均增高(P<0.05)。此外,研究组的教师在培训场景、适时提问和讨论、操作规范性、有效考核评估以及突击应变能力方面的自评分数亦显著高于对照组(P<0.05)。 结论沉浸式PBL教学模式可以使血液净化血管通路培训的学员及带教老师在专业知识及实践操作能力方面得到进一步提升,值得推广。  相似文献   
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