Alan J Forster,Christopher G Chute,Harold Alan Pincus et al.
Alan J Forster et al.
The World Health Organization's (WHO) international classification of disease version 11 (ICD-11) contains several features which enable improved classification of patient safety events. We have identified three suggestions to facilitate ad...
Rapid response nursing triage outcomes for COVID-19: factors associated with patient's participation in triage recommendations [0.03%]
新冠肺炎应急护理分诊效果及影响患者配合分诊的因素分析
Jyu-Lin Chen,Chen-Xi Lin,Mijung Park et al.
Jyu-Lin Chen et al.
Background: COVID-19 is an ongoing global health crisis with prevention and treatment recommendations rapidly changing. Rapid response telephone triage and advice services are critical in providing timely care during pand...
Machine learning prediction for COVID-19 disease severity at hospital admission [0.03%]
基于机器学习的COVID-19住院患者病情严重程度预测模型
Ganesh Raman,Bilal Ashraf,Yusuf Kemal Demir et al.
Ganesh Raman et al.
Importance: Early prognostication of patients hospitalized with COVID-19 who may require mechanical ventilation and have worse outcomes within 30 days of admission is useful for delivering appropriate clinical care and op...
Decision tree learning in Neo4j on homogeneous and unconnected graph nodes from biological and clinical datasets [0.03%]
生物和临床数据集中的Neo4j中均匀且不相连的图节点的决策树学习
Rahul Mondal,Minh Dung Do,Nasim Uddin Ahmed et al.
Rahul Mondal et al.
Background: Graph databases enable efficient storage of heterogeneous, highly-interlinked data, such as clinical data. Subsequently, researchers can extract relevant features from these datasets and apply machine learning...
Performance of machine learning algorithms for dementia assessment: impacts of language tasks, recording media, and modalities [0.03%]
机器学习算法在痴呆症评估中的性能：语言任务、记录介质和模态的影响
Mahboobeh Mah Parsapoor Parsa,Muhammad Raisul Alam,Alex Mihailidis
Mahboobeh Mah Parsapoor Parsa
Objectives: Automatic speech and language assessment methods (SLAMs) can help clinicians assess speech and language impairments associated with dementia in older adults. The basis of any automatic SLAMs is a machine learn...
Effects of a shared decision making intervention for older adults with multiple chronic conditions: the DICO study [0.03%]
针对合并多种慢性病的老年人群实施共同决策干预的效果研究——DICO研究报告
Ruth E Pel-Littel,Bianca M Buurman,Marjolein H van de Pol et al.
Ruth E Pel-Littel et al.
Background: To evaluate the effects of a shared decision making (SDM) intervention for older adults with multiple chronic conditions (MCCs). Methods: ...
Towards more efficient and robust evaluation of sepsis treatment with deep reinforcement learning [0.03%]
基于深度强化学习的脓毒症治疗评估方法研究
Chao Yu,Qikai Huang
Chao Yu
Background: In recent years, several studies have applied advanced AI methods, i.e., deep reinforcement learning, in discovering more efficient treatment policies for sepsis. However, due to a paucity of understanding of ...
Personalized hypertension treatment recommendations by a data-driven model [0.03%]
数据驱动的个性化高血压治疗建议模型
Yang Hu,Jasmine Huerta,Nicholas Cordella et al.
Yang Hu et al.
Background: Hypertension is a prevalent cardiovascular disease with severe longer-term implications. Conventional management based on clinical guidelines does not facilitate personalized treatment that accounts for a rich...
Machine learning and network analysis for diagnosis and prediction in disorders of consciousness [0.03%]
机器学习和网络分析在意识障碍诊断和预测中的应用
Ajit Narayanan,Wendy L Magee,Richard J Siegert
Ajit Narayanan
Background: Prolonged Disorders of Consciousness (PDOC) resulting from severe acquired brain injury can lead to complex disabilities that make diagnosis challenging. The role of machine learning (ML) in diagnosing PDOC st...
Mining of EHR for interface terminology concepts for annotating EHRs of COVID patients [0.03%]
挖掘电子健康记录中的接口术语概念以对COVID患者EHR进行注释
Vipina K Keloth,Shuxin Zhou,Luke Lindemann et al.
Vipina K Keloth et al.
Background: Two years into the COVID-19 pandemic and with more than five million deaths worldwide, the healthcare establishment continues to struggle with every new wave of the pandemic resulting from a new coronavirus va...