Mining Patterns Associated With Mobility Outcomes in Home Healthcare

Dey Sanjoy; Cooner Jacob; Delaney Connie W.; Fakhoury Joanna; Kumar Vipin; Simon Gyorgy; Steinbach Michael; Weed Jeremy; Westra Bonnie L.

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Mining Patterns Associated With Mobility Outcomes in Home Healthcare

机译：家庭医疗保健中与移动结果相关的挖掘模式

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摘要

Background Mobility is critical for self-management. Understanding factors associated with improvement in mobility during home healthcare can help nurses tailor interventions to improve mobility outcomes and keep patients safely at home.

机译：背景移动性对于自我管理至关重要。了解与家庭保健期间行动能力改善有关的因素，可以帮助护士量身定制干预措施，以改善行动结果并确保患者安全在家中。

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来源
《Nursing research》 |2015年第4期|共11页
作者
Dey Sanjoy; Cooner Jacob; Delaney Connie W.; Fakhoury Joanna; Kumar Vipin; Simon Gyorgy; Steinbach Michael; Weed Jeremy; Westra Bonnie L.;
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正文语种 eng
中图分类护理学;
关键词
ambulation; data mining; home care; informatics; Outcome and Assessment Information Set (OASIS);

机译：移动;数据挖掘;家庭护理;信息学;结果和评估信息集（OASIS）;

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专利

1. Mining Patterns Associated With Mobility Outcomes in Home Healthcare [J] . Dey Sanjoy, Cooner Jacob, Delaney Connie W., Nursing research . 2015,第4期

机译：家庭医疗保健中与移动结果相关的挖掘模式
2. Mining Regional Mobility Patterns for Urban Dynamic Analytics [J] . Lian Jing, Li Yang, Gu Weixi, Mobile networks & applications . 2020,第2期

机译：挖掘用于城市动态分析的区域移动模式
3. Mining Mobility Patterns from Geotagged Photos Through Semantic Trajectory Clustering [J] . Guochen Cai, Kyungmi Lee, Ickjai Lee Cybernetics and Systems . 2018,第1a4期

机译：通过语义轨迹聚类从带地理标签的照片中挖掘移动性模式
4. The MOvIT project phase I: Designing a mobility device monitoring intervention with end-users and healthcare providers (Thematic Session: End-user Participation in the Development of Assistive Device Assessments and Outcome Measures) [C] . Claudine AUGER, Robyn TAMBLYN, William C. MILLER, Bi-annual AAATE Conference . 2011

机译：MOVIT项目阶段I：使用最终用户和医疗保健提供者设计移动设备监控干预（专题会议：最终用户参与辅助设备评估和结果措施的开发）
5. Mining Patterns in Sensor Data for Personalized Healthcare [D] . Balasubramanian, Arvind. 2017

机译：个性化医疗保健传感器数据中的挖掘模式
6. Variability in Regularity: Mining Temporal Mobility Patterns in London Singapore and Beijing Using Smart-Card Data [O] . Chen Zhong, Michael Batty, Ed Manley, -1

机译：规律性的可变性：使用智能卡数据挖掘伦敦新加坡和北京的时间流动性模式
7. Mining Actionable Patterns of Road Mobility From Heterogeneous Traffic Data Using Biclustering [O] . Francisco Neves, Anna C. Finamore, Sara C. Madeira, 2021

机译：使用BICLESTING从异构交通数据中挖掘可行的公路移动模式

Mining Patterns Associated With Mobility Outcomes in Home Healthcare

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