RT @alexvespi: From free text to clusters of content in health records: an unsupervised graph partitioning approach “network-theoretical t…
RT @ronaldomenezes: From free text to clusters of content in health records: an unsupervised graph partitioning approach. Feature article a…
RT @ronaldomenezes: From free text to clusters of content in health records: an unsupervised graph partitioning approach. Feature article a…
From free text to clusters of content in health records: an unsupervised graph partitioning approach. Feature article at @appliednetsci https://t.co/bmb3whq9Eb https://t.co/vzQny8GiU4
RT @appliednetsci: From free text to clusters of content in #health #records: an unsupervised #graph partitioning approach https://t.co/3oe…
RT @CHP_Gian: Great work by Erik Mayer from @Imperial_PSTRC and our wonderful colleagues at @CMPHImperial on the analysis of text from hosp…
RT @Imperial_PSTRC: We've been working with @CMPHImperial to develop a tool for analysing free text in electronic health records. This coul…
RT @Imperial_PSTRC: We've been working with @CMPHImperial to develop a tool for analysing free text in electronic health records. This coul…
RT @Imperial_PSTRC: We've been working with @CMPHImperial to develop a tool for analysing free text in electronic health records. This coul…
RT @Imperial_PSTRC: We've been working with @CMPHImperial to develop a tool for analysing free text in electronic health records. This coul…
RT @alexvespi: From free text to clusters of content in health records: an unsupervised graph partitioning approach “network-theoretical t…
RT @Imperial_CHP: How can we better exploit the wealth of medical data that's gathered in England, to improve the quality of #healthcare? W…
RT @Imperial_CHP: How can we better exploit the wealth of medical data that's gathered in England, to improve the quality of #healthcare? W…
RT @CHP_Gian: Great work by Erik Mayer from @Imperial_PSTRC and our wonderful colleagues at @CMPHImperial on the analysis of text from hosp…
RT @Imperial_PSTRC: We've been working with @CMPHImperial to develop a tool for analysing free text in electronic health records. This coul…
We've been working with @CMPHImperial to develop a tool for analysing free text in electronic health records. This could help us better exploit the wealth of information that's often untapped in medical data and spot emerging trends. Find out more: https:/
RT @Imperial_CHP: How can we better exploit the wealth of medical data that's gathered in England, to improve the quality of #healthcare? W…
RT @Imperial_CHP: How can we better exploit the wealth of medical data that's gathered in England, to improve the quality of #healthcare? W…
How can we better exploit the wealth of medical data that's gathered in England, to improve the quality of #healthcare? We've helped develop an algorithm that can extract meaningful info from free text, which could help with monitoring & picking up tre
RT @CHP_Gian: Great work by Erik Mayer from @Imperial_PSTRC and our wonderful colleagues at @CMPHImperial on the analysis of text from hosp…
RT @CHP_Gian: Great work by Erik Mayer from @Imperial_PSTRC and our wonderful colleagues at @CMPHImperial on the analysis of text from hosp…
Great work by Erik Mayer from @Imperial_PSTRC and our wonderful colleagues at @CMPHImperial on the analysis of text from hospital incident reports.
Electronic health records contain a wealth of data that's often untapped due to difficulties extracting useful info. New research from IGHI & others at Imperial has developed a method to interpret the data and reveal important detail, which could help
My very first academic publication is out from @appliednetsci. We worked on clustering free text descriptions of patient incident details from #NHS using a graph partitioning tool: #MarkovStability. https://t.co/CqJIoiWdXr https://t.co/BRVlBR6JEZ
RT @alexvespi: From free text to clusters of content in health records: an unsupervised graph partitioning approach “network-theoretical t…
RT @alexvespi: From free text to clusters of content in health records: an unsupervised graph partitioning approach “network-theoretical t…
RT @alexvespi: From free text to clusters of content in health records: an unsupervised graph partitioning approach “network-theoretical t…
RT @alexvespi: From free text to clusters of content in health records: an unsupervised graph partitioning approach “network-theoretical t…
RT @alexvespi: From free text to clusters of content in health records: an unsupervised graph partitioning approach “network-theoretical t…
RT @alexvespi: From free text to clusters of content in health records: an unsupervised graph partitioning approach “network-theoretical t…
RT @alexvespi: From free text to clusters of content in health records: an unsupervised graph partitioning approach “network-theoretical t…
RT @alexvespi: From free text to clusters of content in health records: an unsupervised graph partitioning approach “network-theoretical t…
RT @alexvespi: From free text to clusters of content in health records: an unsupervised graph partitioning approach “network-theoretical t…
RT @alexvespi: From free text to clusters of content in health records: an unsupervised graph partitioning approach “network-theoretical t…
RT @alexvespi: From free text to clusters of content in health records: an unsupervised graph partitioning approach “network-theoretical t…
RT @alexvespi: From free text to clusters of content in health records: an unsupervised graph partitioning approach “network-theoretical t…
RT @alexvespi: From free text to clusters of content in health records: an unsupervised graph partitioning approach “network-theoretical t…
RT @alexvespi: From free text to clusters of content in health records: an unsupervised graph partitioning approach “network-theoretical t…
RT @alexvespi: From free text to clusters of content in health records: an unsupervised graph partitioning approach “network-theoretical t…
From free text to clusters of content in health records: an unsupervised graph partitioning approach “network-theoretical tools to the analysis of free text in Hospital Patient Incident reports in the English National Health Service” https://t.co/a9Ib41
RT appliednetsci: From free text to clusters of content in #health #records: an unsupervised #graph partitioning approach https://t.co/6UDsCZid2p imperialcollege CMPHImperial SpringerOpen https://t.co/WKoaIiGMIW
RT @appliednetsci: From free text to clusters of content in #health #records: an unsupervised #graph partitioning approach https://t.co/3oe…
RT @appliednetsci: From free text to clusters of content in #health #records: an unsupervised #graph partitioning approach https://t.co/3oe…
RT @appliednetsci: From free text to clusters of content in #health #records: an unsupervised #graph partitioning approach https://t.co/3oe…
From free text to clusters of content in #health #records: an unsupervised #graph partitioning approach https://t.co/3oeSi0V8tJ @imperialcollege @CMPHImperial @SpringerOpen https://t.co/b3NBY7tWB2
From Free Text to Clusters of Content in Health Records: An Unsupervised Graph Partitioning Approach - https://t.co/OPOGVFrn4K
From Free Text to Clusters of Content in Health Records: An Unsupervised Graph Partitioning Approach https://t.co/nrPv5Kyo1l
RT @arxiv_cs_cl: https://t.co/ZvyZHIkIGQ From Free Text to Clusters of Content in Health Records: An Unsupervised Graph Partitioning Approa…
"From Free Text to Clusters of Content in Health Records: An Unsupervised Graph Partitioning Approach", M. Tarik Al… https://t.co/QrgmVKM0BP
From Free Text to Clusters of Content in Health Records: An Unsupervised Graph Partitioning Approach. https://t.co/tXtbk23fcO
RT @arxiv_cscl: From Free Text to Clusters of Content in Health Records: An Unsupervised Graph Partitioning Approach https://t.co/nrPv5Kyo1l
From Free Text to Clusters of Content in Health Records: An Unsupervised Graph Partitioning Approach https://t.co/nrPv5Kyo1l
From Free Text to Clusters of Content in Health Records: An Unsupervised Graph Partitioning Approach. (arXiv:1811.05711v1 [https://t.co/x88kGGrp3B]) https://t.co/ZoWtPAVWWI
https://t.co/ZvyZHIkIGQ From Free Text to Clusters of Content in Health Records: An Unsupervised Graph Partitioning Approach. (arXiv:1811.05711v1 [https://t.co/HW5RVw4UkE]) #NLProc