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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="utf-8">
<!-- load cluster info -->
<script src="cluster_info.js"></script>
<!-- Load d3.js -->
<script src="https://d3js.org/d3.v4.js"></script>
<!-- CSS only -->
<link href="https://cdn.jsdelivr.net/npm/[email protected]/dist/css/bootstrap.min.css" rel="stylesheet" integrity="sha384-gH2yIJqKdNHPEq0n4Mqa/HGKIhSkIHeL5AyhkYV8i59U5AR6csBvApHHNl/vI1Bx" crossorigin="anonymous">
</head>
<body>
<div class="container">
<nav class="navbar navbar-expand-lg navbar-light bg-light">
<div class="collapse navbar-collapse" id="navbarNavAltMarkup">
<div class="navbar-nav">
<a class="nav-item nav-link active" href="/NLP-embedding-visualisation/">Home</a>
<a class="nav-item nav-link" href="/NLP-embedding-visualisation/embedding.html">Embedding</span></a>
<a class="nav-item nav-link" href="/NLP-embedding-visualisation/treemap.html">Treemap v1</a>
<a class="nav-item nav-link" href="/NLP-embedding-visualisation/treemap_no-other.html">Treemap v2</a>
</div>
</div>
</nav>
<div class="row">
<div class="col">
<h1 class="display-4">Hospital-wide Natural Language Processing summarising health data of 1 million patients</h1>
<h3>Supplementary Figures</h3>
<p>This page contains an interactive visualisations from the paper "Hospital-wide Natural Language Processing summarising health data of 1 million patients".</p>
<ul>
<li><a href="/NLP-embedding-visualisation/embedding.html">Patient embedding</a></li>
<li><a href="/NLP-embedding-visualisation/treemap.html">Treemap - top 100 concepts and "others" (v1)</a></li>
<li><a href="/NLP-embedding-visualisation/treemap_no-other.html">Treemap - top 100 concepts only (v2)</a></li>
</ul>
<h3>Authors</h3>
<p>Daniel Bean, Zeljko Kraljevic, Anthony Shek, James Teo, Richard Dobson</p>
<h3>Citation</h3>
<p><a href="https://www.medrxiv.org/content/10.1101/2022.09.15.22279981v2">Preprint available here.</a></p>
<p>
Hospital-wide Natural Language Processing summarising the health data of 1 million patients
</p>
<p>
Daniel Bean, Zeljko Kraljevic, Anthony Shek, James Teo, Richard Dobson
</p><p>
medRxiv 2022.09.15.22279981; doi: <a href="https://doi.org/10.1101/2022.09.15.22279981">https://doi.org/10.1101/2022.09.15.22279981</a>
</p>
<h3>Github</h3>
<a href="https://github.com/KHP-Informatics/NLP-embedding-visualisation">Github link</a>
<h3>Acknowledgements</h3>
<p>This work uses data provided by patients and collected by the NHS as part of their care and support. We would like to thank the patients on the Kings Electronic Records Research Interface (KERRI), the NIHR Applied Research Centre South London, the NIHR Maudsley Biomedical Research Centre, the London AI Centre for Value-based Healthcare, the NHS AI Lab and Health Data Research (UK).</p>
<h3>Funding</h3>
<p>The project has received funding support from Innovate UK, NHS AI Lab, Office of Life Sciences, Health Data Research UK, NIHR Maudsley Biomedical Research Centre and NIHR Applied Research Centre South London.</p>
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