Steele Farnsworth,Gabrielle Gurdin,Jorge Vargas et al.
Steele Farnsworth et al.
Systematic reviews are labor-intensive processes to combine all knowledge about a given topic into a coherent summary. Despite the high labor investment, they are necessary to create an exhaustive overview of current evidence relevant to a ...
Word embeddings trained on published case reports are lightweight, effective for clinical tasks, and free of protected health information [0.03%]
在发表的病例报告上训练词嵌入是轻量级的、有效的临床任务工具，并且不包含受保护的健康信息
Zachary N Flamholz,Andrew Crane-Droesch,Lyle H Ungar et al.
Zachary N Flamholz et al.
Objective: Quantify tradeoffs in performance, reproducibility, and resource demands across several strategies for developing clinically relevant word embeddings. ...
Ziqi Zhang,Chao Yan,Bradley A Malin
Ziqi Zhang
Synthetic data generation has emerged as a promising method to protect patient privacy while sharing individual-level health data. Intuitively, sharing synthetic data should reduce disclosure risks because no explicit linkage is retained be...
Synthesizing time-series wound prognosis factors from electronic medical records using generative adversarial networks [0.03%]
基于生成对抗网络从电子病历中合成时间序列伤势预后因素
Farnaz H Foomani,D M Anisuzzaman,Jeffrey Niezgoda et al.
Farnaz H Foomani et al.
Wound prognostic models not only provide an estimate of wound healing time to motivate patients to follow up their treatments but also can help clinicians to decide whether to use a standard care or adjuvant therapies and to assist them wit...
Inferring the patient's age from implicit age clues in health forum posts [0.03%]
从健康论坛帖子中的隐含年龄线索推断患者年龄
Christopher M Black,Weilin Meng,Lixia Yao et al.
Christopher M Black et al.
Broader patient-reported experiences in oncology are largely unknown due to the lack of available information from traditional data sources. Online health community data provide an exploratory way to uncover these experiences at a large sca...
Improving non-invasive hemoglobin measurement accuracy using nonparametric models [0.03%]
基于非参数模型改善无创血红蛋白测量准确度
Jianing Man,Martin D Zielinski,Devashish Das et al.
Jianing Man et al.
Uncontrolled hemorrhage is a leading cause of preventable death among patients with trauma. Early recognition of hemorrhage can aid in the decision to administer blood transfusion and improve patient outcomes. To provide real-time measureme...
Lishan Yu,Hamisu M Salihu,Deepa Dongarwar et al.
Lishan Yu et al.
In this paper, we developed a feasible and efficient deep-learning-based framework to combine the United States (US) natality data for the last five decades, with changing variables and factors, into a consistent database. We constructed a ...
The RareDis corpus: A corpus annotated with rare diseases, their signs and symptoms [0.03%]
RareDis语料库：带有罕见疾病及其症状注释的语料库
Claudia Martínez-deMiguel,Isabel Segura-Bedmar,Esteban Chacón-Solano et al.
Claudia Martínez-deMiguel et al.
Rare diseases affect a small number of people compared to the general population. However, more than 6,000 different rare diseases exist and, in total, they affect more than 300 million people worldwide. Rare diseases share as part of their...
A contextual multi-task neural approach to medication and adverse events identification from clinical text [0.03%]
从临床文本识别药物和不良反应的上下文多任务神经方法
Sankaran Narayanan,Kaivalya Mannam,Pradeep Achan et al.
Sankaran Narayanan et al.
Effective wide-scale pharmacovigilance calls for accurate named entity recognition (NER) of medication entities such as drugs, dosages, reasons, and adverse drug events (ADE) from clinical text. The scarcity of adverse event annotations and...
Disease evolution and risk-based disease trajectories in congestive heart failure patients [0.03%]
心力衰竭患者的疾病演变及基于风险的疾病轨迹分析
Ramon-Gonen Roni,Heart Tsipi,Ben-Assuli Ofir et al.
Ramon-Gonen Roni et al.
Congestive Heart Failure (CHF) is among the most prevalent chronic diseases worldwide, and is commonly associated with comorbidities and complex health conditions. Consequently, CHF patients are typically hospitalized frequently, and are at...