Everett Rush,Ozgur Ozmen,Minsu Kim et al.
Everett Rush et al.
Background: To discover pharmacotherapy prescription patterns and their statistical associations with outcomes through a clinical pathway inference framework applied to real-world data. ...
Continual learning framework for a multicenter study with an application to electrocardiogram [0.03%]
多中心研究的持续学习框架及其在心电图中的应用
Junmo Kim,Min Hyuk Lim,Kwangsoo Kim et al.
Junmo Kim et al.
Deep learning has been increasingly utilized in the medical field and achieved many goals. Since the size of data dominates the performance of deep learning, several medical institutions are conducting joint research to obtain as much data ...
Identification of health-related problems in youth: a mixed methods feasibility study evaluating the Youth Health Report System [0.03%]
青少年健康相关问题的识别：评估青年健康报告系统的混合方法可行性研究
Petra V Lostelius,Catharina Gustavsson,Eva Thors Adolfsson et al.
Petra V Lostelius et al.
Background: Because poor health in youth risk affecting their entry in adulthood, improved methods for their early identification are needed. Health and welfare technology is widely accepted by youth populations, presenti...
MMIR: an open-source software for the registration of multimodal histological images [0.03%]
MMIR：用于多模态组织学图像配准的开源软件
Rodrigo Escobar Díaz Guerrero,José Luis Oliveira,Juergen Popp et al.
Rodrigo Escobar Díaz Guerrero et al.
Background: Multimodal histology image registration is a process that transforms into a common coordinate system two or more images obtained from different microscopy modalities. The combination of information from variou...
A qualitative analysis of algorithm-based decision support usability testing for symptom management across the trajectory of cancer care: one size does not fit all [0.03%]
算法支持的决策在癌症护理过程中症状管理的定性分析：一刀切的方法并不适合所有人
Hayley Dunnack Yackel,Barbara Halpenny,Janet L Abrahm et al.
Hayley Dunnack Yackel et al.
Background: Adults with cancer experience symptoms that change across the disease trajectory. Due to the distress and cost associated with uncontrolled symptoms, improving symptom management is an important component of q...
Feasibility of a wearable self-management application for patients with COPD at home: a pilot study [0.03%]
可穿戴居家自我管理系统在慢性阻塞性肺病患者中的可行性：初步研究
Robert Wu,Eyal de Lara,Daniyal Liaqat et al.
Robert Wu et al.
Background: Among people with COPD, smartphone and wearable technology may provide an effective method to improve care at home by supporting, encouraging, and sustaining self-management. The current study was conducted to...
Seasonally adjusted laboratory reference intervals to improve the performance of machine learning models for classification of cardiovascular diseases [0.03%]
季节性调整的实验室参考范围以提高机器学习模型对心血管疾病分类性能的效果
Victorine P Muse,Davide Placido,Amalie D Haue et al.
Victorine P Muse et al.
Background: Variation in laboratory healthcare data due to seasonal changes is a widely accepted phenomenon. Seasonal variation is generally not systematically accounted for in healthcare settings. This study applies a ne...
Natural language processing to identify lupus nephritis phenotype in electronic health records [0.03%]
利用自然语言处理从电子健康记录中识别狼疮性肾炎表型
Yu Deng,Jennifer A Pacheco,Anika Ghosh et al.
Yu Deng et al.
Background: Systemic lupus erythematosus (SLE) is a rare autoimmune disorder characterized by an unpredictable course of flares and remission with diverse manifestations. Lupus nephritis, one of the major disease manifest...
A comparative study of CNN-capsule-net, CNN-transformer encoder, and Traditional machine learning algorithms to classify epileptic seizure [0.03%]
CNN胶囊网络，CNN编码器和传统机器学习算法在分类癫痫发作中的对比研究
Sergio Alejandro Holguin-Garcia,Ernesto Guevara-Navarro,Alvaro Eduardo Daza-Chica et al.
Sergio Alejandro Holguin-Garcia et al.
Introduction: Epilepsy is a disease characterized by an excessive discharge in neurons generally provoked without any external stimulus, known as convulsions. About 2 million people are diagnosed each year in the world. T...
Conceptual design of a generic data harmonization process for OMOP common data model [0.03%]
面向OMOP通用数据模型的泛化数据融合过程的概念设计
Elisa Henke,Michele Zoch,Yuan Peng et al.
Elisa Henke et al.
Background: To gain insight into the real-life care of patients in the healthcare system, data from hospital information systems and insurance systems are required. Consequently, linking clinical data with claims data is ...