354 followers
RT @alexvespi: From free text to clusters of content in health records: an unsupervised graph partitioning approach “network-theoretical t…
393 followers
RT @ronaldomenezes: From free text to clusters of content in health records: an unsupervised graph partitioning approach. Feature article a…
343 followers
RT @ronaldomenezes: From free text to clusters of content in health records: an unsupervised graph partitioning approach. Feature article a…
1,603 followers
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
1,286 followers
RT @appliednetsci: From free text to clusters of content in #health #records: an unsupervised #graph partitioning approach https://t.co/3oe…
282 followers
RT @CHP_Gian: Great work by Erik Mayer from @Imperial_PSTRC and our wonderful colleagues at @CMPHImperial on the analysis of text from hosp…
282 followers
RT @Imperial_PSTRC: We've been working with @CMPHImperial to develop a tool for analysing free text in electronic health records. This coul…
447 followers
RT @Imperial_PSTRC: We've been working with @CMPHImperial to develop a tool for analysing free text in electronic health records. This coul…
526 followers
RT @Imperial_PSTRC: We've been working with @CMPHImperial to develop a tool for analysing free text in electronic health records. This coul…
1,828 followers
RT @Imperial_PSTRC: We've been working with @CMPHImperial to develop a tool for analysing free text in electronic health records. This coul…
131 followers
RT @alexvespi: From free text to clusters of content in health records: an unsupervised graph partitioning approach “network-theoretical t…
817 followers
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…
131 followers
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…
131 followers
RT @CHP_Gian: Great work by Erik Mayer from @Imperial_PSTRC and our wonderful colleagues at @CMPHImperial on the analysis of text from hosp…
131 followers
RT @Imperial_PSTRC: We've been working with @CMPHImperial to develop a tool for analysing free text in electronic health records. This coul…
2,310 followers
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:/
196 followers
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…
12,359 followers
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…
2,163 followers
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
386 followers
RT @CHP_Gian: Great work by Erik Mayer from @Imperial_PSTRC and our wonderful colleagues at @CMPHImperial on the analysis of text from hosp…
4,193 followers
RT @CHP_Gian: Great work by Erik Mayer from @Imperial_PSTRC and our wonderful colleagues at @CMPHImperial on the analysis of text from hosp…
523 followers
Great work by Erik Mayer from @Imperial_PSTRC and our wonderful colleagues at @CMPHImperial on the analysis of text from hospital incident reports.
12,359 followers
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
131 followers
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
192 followers
RT @alexvespi: From free text to clusters of content in health records: an unsupervised graph partitioning approach “network-theoretical t…
6,863 followers
RT @alexvespi: From free text to clusters of content in health records: an unsupervised graph partitioning approach “network-theoretical t…
295 followers
RT @alexvespi: From free text to clusters of content in health records: an unsupervised graph partitioning approach “network-theoretical t…
776 followers
RT @alexvespi: From free text to clusters of content in health records: an unsupervised graph partitioning approach “network-theoretical t…
112 followers
RT @alexvespi: From free text to clusters of content in health records: an unsupervised graph partitioning approach “network-theoretical t…
33 followers
RT @alexvespi: From free text to clusters of content in health records: an unsupervised graph partitioning approach “network-theoretical t…
1,598 followers
RT @alexvespi: From free text to clusters of content in health records: an unsupervised graph partitioning approach “network-theoretical t…
1,398 followers
RT @alexvespi: From free text to clusters of content in health records: an unsupervised graph partitioning approach “network-theoretical t…
1,183 followers
RT @alexvespi: From free text to clusters of content in health records: an unsupervised graph partitioning approach “network-theoretical t…
2,149 followers
RT @alexvespi: From free text to clusters of content in health records: an unsupervised graph partitioning approach “network-theoretical t…
627 followers
RT @alexvespi: From free text to clusters of content in health records: an unsupervised graph partitioning approach “network-theoretical t…
2,331 followers
RT @alexvespi: From free text to clusters of content in health records: an unsupervised graph partitioning approach “network-theoretical t…
799 followers
RT @alexvespi: From free text to clusters of content in health records: an unsupervised graph partitioning approach “network-theoretical t…
2,145 followers
RT @alexvespi: From free text to clusters of content in health records: an unsupervised graph partitioning approach “network-theoretical t…
989 followers
RT @alexvespi: From free text to clusters of content in health records: an unsupervised graph partitioning approach “network-theoretical t…
29,928 followers
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
1,242 followers
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
17,533 followers
RT @appliednetsci: From free text to clusters of content in #health #records: an unsupervised #graph partitioning approach https://t.co/3oe…
282 followers
RT @appliednetsci: From free text to clusters of content in #health #records: an unsupervised #graph partitioning approach https://t.co/3oe…
831 followers
RT @appliednetsci: From free text to clusters of content in #health #records: an unsupervised #graph partitioning approach https://t.co/3oe…
989 followers
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
1,230 followers
From Free Text to Clusters of Content in Health Records: An Unsupervised Graph Partitioning Approach - https://t.co/OPOGVFrn4K
6,087 followers
From Free Text to Clusters of Content in Health Records: An Unsupervised Graph Partitioning Approach https://t.co/nrPv5Kyo1l
2,606 followers
RT @arxiv_cs_cl: https://t.co/ZvyZHIkIGQ From Free Text to Clusters of Content in Health Records: An Unsupervised Graph Partitioning Approa…
1,163 followers
"From Free Text to Clusters of Content in Health Records: An Unsupervised Graph Partitioning Approach", M． Tarik Al… https://t.co/QrgmVKM0BP
8,605 followers
From Free Text to Clusters of Content in Health Records: An Unsupervised Graph Partitioning Approach. https://t.co/tXtbk23fcO
68 followers
RT @arxiv_cscl: From Free Text to Clusters of Content in Health Records: An Unsupervised Graph Partitioning Approach https://t.co/nrPv5Kyo1l
6,087 followers
From Free Text to Clusters of Content in Health Records: An Unsupervised Graph Partitioning Approach https://t.co/nrPv5Kyo1l
68 followers
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
4,706 followers
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