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Towards event sequence representation, reasoning and visualization for EHR data
2012
Proceedings of the 2nd ACM SIGHIT symposium on International health informatics - IHI '12
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The combination of the two systems will provide a comprehensive environment for users to visualize inferred temporal relationships from EHR data. ...
The Clinical Narrative Temporal Reasoning Ontology (CNTRO)-based system is designed for semantically representing, annotating, and inferring temporal relations and constraints for clincial events in Electronic ...
This research is partially supported by the National Science Foundation under Grant #0937060 to the Computing Research Association for the CIFellows Project, and the ONC Strategic Health IT Advanced Research ...
doi:10.1145/2110363.2110461
dblp:conf/ihi/TaoWCPSC12
fatcat:dbpwe5lh5ve75pnv2zw6jf3of4
Semantic Web Portal: A Platform for Better Browsing and Visualizing Semantic Data
[chapter]
2010
Lecture Notes in Computer Science
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and a Linked Open Data portal for bio-chemical data. ...
One of the main shortcomings of Semantic Web technologies is that there are few user-friendly ways for displaying, browsing and querying semantic data. ...
The right side of Fig. 7 displays a timeline for all the Ozone and Visibility data available for that site based on Google Visualization API. ...
doi:10.1007/978-3-642-15470-6_46
fatcat:yei2ilxc6berrpbl7k2my2zqra
Clinical Data Analytics With Time-Related Graphical User Interfaces: Application to Pharmacovigilance
2018
Frontiers in Pharmacology
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The first application is a tool to visualize the patient electronic health record in the form of a timeline. All patient data is collected and displayed chronologically. ...
In this paper, we present two visualization and data mining applications to make this task easier for the practitioner. ...
Elisabetta Andermarcher for her careful proofreading of the paper. ...
doi:10.3389/fphar.2018.00717
pmid:30233354
pmcid:PMC6127627
fatcat:odvfzyjxxbc7ffvvj447psrpiu
Multi-modal presentation of medical histories
2008
Proceedings of the 13th international conference on Intelligent user interfaces - IUI '08
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This paper describes a visualisation architecture that integrates graphical devices and natural language in a cooperative system for navigating through complex images of medical histories. ...
We show how the addition of automatically generated natural language can be used to improve the usability of a graphical user interface and conversely how the graphical user interface can be used to specify ...
We gratefully acknowledge the contribution of our clinical collaborators at the Royal Marsden and Royal Free hospitals, colleagues at the National Cancer Research Institute (NCRI) and NTRAC and to the ...
doi:10.1145/1378773.1378785
dblp:conf/iui/Hallett08
fatcat:lvdww4etezhpxmddz3srswg7qu
Visual Analytics for Health Monitoring and Risk Management in CARRE
[chapter]
2016
Lecture Notes in Computer Science
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Visual analytics is designed to promote knowledge discovery and utilisation of big data via mature visual paradigms with well-designed user interactions and has become indispensable in big data analysis ...
The visual analytics components of timeline and parallel coordinates for health monitoring and of node-link diagrams, chord diagrams and sankey diagrams for risk analysis are presented to achieve ubiquitous ...
We would like to thank the European Commission for the funding and thank the project officers and reviewers for their indispensable support for both of the projects. ...
doi:10.1007/978-3-319-40259-8_33
fatcat:ketd2vl6ovf53fzosohwh6wijm
V-Model: a new perspective for EHR-based phenotyping
2014
BMC Medical Informatics and Decision Making
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It visualizes patient history on a timeline in an intuitive way. For the design, the representation, reasoning, and visualization (readability) aspects were considered. ...
Furthermore, the unique graphical notation helps to find hidden patterns of a specific patient group. For evaluation, we verified our distinctive solutions, and surveyed usability. ...
The V-Model displays narrative patient data and causal relation on a timeline in a patterned format.
Related works There have been attempts to visualize patient history using timelines. ...
doi:10.1186/1472-6947-14-90
pmid:25341558
pmcid:PMC4283133
fatcat:7ab2jdp4qjfhtetbv3khvtmdxy
MyHealthAvatar and CARRE: case studies of interactive visualisation for internet-enabled sensor-assisted health monitoring and risk analysis
2016
IET Networks
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Visualisation is designed to promote knowledge discovery and utilisation via mature visual paradigms with well-designed user interactions and has become indispensable in data analysis. ...
The former focuses on health sensor data collection and lifestyle tracking while the latter aims to provide innovative means for the management of cardiorenal diseases with the assistance of wearable sensors ...
Visualisation Components Visualisation uses effective visual encoding and user interaction to represent data in a visually understandable means. ...
doi:10.1049/iet-net.2015.0113
fatcat:u2nqybengff6rcnen2kc72bmoy
Visualizing Semantic Structure of a Clinical Text Document
2020
European Journal of Electrical Engineering and Computer Science
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A user evaluation demonstrates that the proposed method for visualizing and navigating a document's semantic structure facilitates a user's document information exploration. ...
In this paper we propose a unique approach for graphically representing and visualizing the semantic structure of a clinical text document to aid doctors in reviewing electronic clinical notes. ...
ACKNOWLEDGEMENT The authors would like to take this opportunity to thank various medical professional both within and outside the country for providing professional advice and support. ...
doi:10.24018/ejece.2020.4.6.256
fatcat:zqogu4pxdjfztdwwbip4m735jq
Timeline representation of clinical data: usability and added value for pharmacovigilance
2018
BMC Medical Informatics and Decision Making
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To facilitate this task, we developed a timeline prototype to gather and classify patient data according to their chronology. ...
This can be time-consuming because often patient data are heterogeneous and scattered in several files. ...
Catherine Plaisant, Associate Director of Research of the Human-Computer Interaction Laboratory for her advices in the methodological choices and her attentive reading of the manuscript. ...
doi:10.1186/s12911-018-0667-x
fatcat:ljmrm6t4fjhxzahwt2ucykzedq
Web-based Visual Analytics of Lifestyle Data in MyHealthAvatar
2015
Proceedings of the 5th EAI International Conference on Wireless Mobile Communication and Healthcare - "Transforming healthcare through innovations in mobile and wireless technologies"
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It is almost impossible for citizens, patients and doctors to view, utilise and understand these data without proper visual presentation and user interaction. ...
This paper presents the visual analytics components in MyHealthAvatar to facilitate health and lifestyle data presentation and analysis, including 3D avatar, dashboard, diary, timeline, clock view and ...
We would like to thank the European Commission for the funding and thank the project officers and reviewers for their indispensible support for the project. ...
doi:10.4108/eai.14-10-2015.2261796
dblp:journals/sis/ZhaoPZDDEC16
fatcat:shqpepywdbayha4rp5yd7ikiu4
Interactive Visual Facets to Support Fluid Exploratory Search
[article]
2021
arXiv
pre-print
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2021 pre-print arXiv:2108.00920v1 fatcat:a4p7vy3b2bbabpfihuzlgwtlou
To fluidly support such dynamic search behaviours, we focus on devising interactive visual facets (IVF), visualising information facets to support user comprehension and control of the information space ...
Exploratory search starts with ill-defined goals and involves browsing, learning, and formulating new targets for search. ...
ACKNOWLEDGMENTS We thank Heidi Sahlberg from the University of Helsinki for her help with the email user study. This research was supported by the Academy of Finland through the SRC project DataLit. ...
arXiv:2108.00920v2
fatcat:6nacgssrkzgdxdnzfiedibkzau
Leveraging domain knowledge to facilitate visual exploration of large population datasets
2013
AMIA Annual Symposium Proceedings
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Observational patient data provides an unprecedented opportunity to gleam new insights into diseases and assess patient quality of care, but a challenge lies in matching our ability to collect data with ...
Visual analytic techniques are promising as they permit the exploration and manipulation of complex datasets through a graphical user interface. ...
Bernard Churchill, Mark Litwin, and Jenny Yiee for their insights and support of this project. ...
pmid:24551363
pmcid:PMC3900204
fatcat:nlqpb5tflngjdddgaywxkddk5m
Longitudinal Visual Analytics for Unpacking the Cancer Journey
[article]
2018
bioRxiv
pre-print
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of patient summaries and identification of cohorts for retrospective research. ...
We discuss qualitative inquiry into user tasks and goals, data elements and models resulting in an innovative natural language processing pipeline and a visual analytics tool designed to facilitate interpretation ...
Acknowledgments Rebecca Jacobson, Eugene Tseytlin, Girish Chavan, and Melissa Castine made important contributions to early phases of this work. DeepPhe is supported by NCI grant 1U24CA184407. ...
doi:10.1101/444356
fatcat:o53gfsnmurabnlowf3fwmbu4jm
HARVEST, a longitudinal patient record summarizer
2014
JAMIA Journal of the American Medical Informatics Association
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HARVEST is a problem-based, interactive, temporal visualization of longitudinal patient records. ...
To describe HARVEST, a novel point-of-care patient summarization and visualization tool, and to conduct a formative evaluation study to assess its effectiveness and gather feedback for iterative improvements ...
RESULTS
HARVEST summarization and visualization HARVEST is a web-based interactive, problem-oriented, temporal visualization of a patient record. ...
doi:10.1136/amiajnl-2014-002945
pmid:25352564
pmcid:PMC4394965
fatcat:3quu6sbjpzh23nzumazffbzpna
Graphical overview and navigation of electronic health records in a prototyping environment using Google Earth and openEHR archetypes
2007
Studies in Health Technology and Informatics
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Google Earth (GE) is used for handling display and interaction of clinical information stored using openEHR data structures and 'archetypes'. ...
These are then combined into a unified prototyping environment for visualization and navigation of electronic health records. ...
data from their EHR Bank and the authors of [4] and [5] for permission to reuse illustrations. ...
pmid:17911874
fatcat:qe5bvhgojbd4hlwqidg3s2gp7y
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