diff --git a/paper.md b/paper.md index d1900e0..0581fa8 100644 --- a/paper.md +++ b/paper.md @@ -1,41 +1,39 @@ --- title: "Critical care data processing tools" tags: - - critical care - - electronic health record - - data manipulation - - data pipeline - - data cleaning - - anonymisation - + - critical care + - electronic health record + - data manipulation + - data pipeline + - data cleaning + - anonymisation authors: -- name: Sinan Shi - orcid: 0000-0001-6935-0429 - affiliation: 1 -- name: David Pérez-Suárez - orcid: 0000-0003-0784-6909 - affiliation: 1 -- name: Steve Harris - orcid: 0000-0002-4982-1374 - affiliation: 2 -- name: Niall MacCallum + - name: Sinan Shi + orcid: 0000-0001-6935-0429 + affiliation: 1 + - name: David Pérez-Suárez + orcid: 0000-0003-0784-6909 + affiliation: 1 + - name: Steve Harris + orcid: 0000-0002-4982-1374 + affiliation: 2 + - name: Niall MacCallum orcid: 0000-0001-6168-1506 - affiliation: 2 -- name:David Brealey + affiliation: 2 + - name: David Brealey orcid: 0000-0002-1982-3379 affiliation: 2 -- name: Mervyn Singer + - name: Mervyn Singer orcid: 0000-0002-1042-6350 affiliation: 2 --name: James Hetherington + - name: James Hetherington orcid: 0000-0001-6993-0319 affiliation: 1 affiliations: - - name: Research Software Development Group, Research IT Services, University College London - index: 1 - - name: University College London Hospitals - index: 2 - + - name: Research Software Development Group, Research IT Services, University College London + index: 1 + - name: University College London Hospitals + index: 2 date: 14 February 2016 bibliography: paper.bib --- @@ -44,7 +42,7 @@ bibliography: paper.bib cleanEHR is a data cleaning and wrangling platform which works with the Critical Care Health Informatics Collaborative database. It collects and gathers high resolution longitudinal patient record from critical care units at -Cambridge, Guys/Kings/St Thomas', Imperial, Oxford, UCL Hospitals. +Cambridge, Guys/Kings/St Thomas', Imperial, Oxford, UCL Hospitals. The purpose of cleanEHR is to enable researchers to answer clinical questions that are important to patients. cleanEHR is created to address various data