<div dir="ltr"><div dir="ltr"><p class="gmail-x_MsoNormal" style="margin:0cm;font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0)"><b><span style="font-size:10pt">[<span class="gmail-x_xxxxil">Apologies</span> for cross-posting]</span></b><span style="font-size:12pt"></span></p><div style="color:rgb(0,0,0)"><div><p class="gmail-x_MsoNormal" style="margin:0cm;font-size:11pt;font-family:Calibri,sans-serif"><span style="font-size:12pt;font-family:Arial,sans-serif"> </span></p></div><div><p class="gmail-x_MsoNormal" style="margin:0cm;font-size:11pt;font-family:Calibri,sans-serif"><b><span style="font-size:12pt;font-family:Arial,sans-serif">***********************************************</span></b><span style="font-size:12pt;font-family:Arial,sans-serif"></span></p></div><div><div><p class="gmail-x_MsoNormal" style="margin:0cm;font-size:11pt;font-family:Calibri,sans-serif"><b><span style="font-size:12pt;font-family:Arial,sans-serif"> Healthcare Text Analytics Conference<br>                  HealTAC 2021<br>               June 16-18, 2021<br>   <a href="https://eur03.safelinks.protection.outlook.com/?url=http%3A%2F%2Fhealtex.org%2Fhealtac-2021%2F&data=04%7C01%7Cnick.cummins%40kcl.ac.uk%7Cd9777cbbfc1b4614cae908d924b975fc%7C8370cf1416f34c16b83c724071654356%7C0%7C0%7C637581201249106852%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&sdata=%2BoKms655SpI4Zl31xRxqcZJmVgcBC4ObMn36Syjf2no%3D&reserved=0" target="_blank" style="color:blue">http://healtex.org/healtac-2021/</a><br>***********************************************</span></b><span style="font-size:12pt;font-family:Arial,sans-serif"></span></p></div><div><p class="gmail-x_MsoNormal" style="margin:0cm;font-size:11pt;font-family:Calibri,sans-serif"><span style="font-size:12pt;font-family:Arial,sans-serif"> </span></p><div><p class="gmail-x_MsoNormal" style="margin:0cm;font-size:11pt;font-family:Calibri,sans-serif"><span style="font-size:12pt;font-family:Arial,sans-serif">The HealTAC 2021 organising committee is delighted to invite participation in this year's conference and pre-conference tutorials. HealTAC 2021 will bring the academic, clinical, industrial and patient communities together to discuss the current state of the art in processing healthcare free text and share experience, results and challenges. The <a href="https://eur03.safelinks.protection.outlook.com/?url=http%3A%2F%2Fhealtex.org%2Fhealtac-2021%2Fprogramme%2F&data=04%7C01%7Cnick.cummins%40kcl.ac.uk%7Cd9777cbbfc1b4614cae908d924b975fc%7C8370cf1416f34c16b83c724071654356%7C0%7C0%7C637581201249106852%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&sdata=8FMSZbicsCaPUHuEu5pvRrRexSEniBSSOKCc4RKEDPk%3D&reserved=0" target="_blank" style="color:blue">programme</a> will include keynote talks, research papers, discussion panels, an industry forum, software demos, a PhD forum and poster sessions. Given the ongoing situation with the COVID-19 pandemic, HealTAC 2021 will be an online event.<br><br>Registration for the main conference and pre-conference tutorials is now open! Register here: <a href="https://eur03.safelinks.protection.outlook.com/?url=http%3A%2F%2Fhealtex.org%2Fhealtac-2021%2Fregistration%2F&data=04%7C01%7Cnick.cummins%40kcl.ac.uk%7Cd9777cbbfc1b4614cae908d924b975fc%7C8370cf1416f34c16b83c724071654356%7C0%7C0%7C637581201249116809%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&sdata=u0c%2BOAzmaHgdmT6UeWdLvqghuV52IXi22Wm13%2FcWqG4%3D&reserved=0" target="_blank" style="color:blue">http://healtex.org/healtac-2021/registration/</a><br><br><b>Registration fees:</b></span></p><ul type="disc" style="margin-bottom:0cm"><li class="gmail-x_MsoNormal" style="margin:0cm;font-size:11pt;font-family:Calibri,sans-serif"><span style="font-size:12pt;font-family:Arial,sans-serif">Non-students: £10</span></li><li class="gmail-x_MsoNormal" style="margin:0cm;font-size:11pt;font-family:Calibri,sans-serif"><span style="font-size:12pt;font-family:Arial,sans-serif">Students: Free</span></li></ul><p class="gmail-x_MsoNormal" style="margin:0cm;font-size:11pt;font-family:Calibri,sans-serif"><b><span style="font-size:12pt;font-family:Arial,sans-serif">Dates:</span></b><span style="font-size:12pt;font-family:Arial,sans-serif"></span></p><ul type="disc" style="margin-bottom:0cm"><li class="gmail-x_MsoNormal" style="margin:0cm;font-size:11pt;font-family:Calibri,sans-serif"><span style="font-size:12pt;font-family:Arial,sans-serif">Tutorials: 16 June</span></li><li class="gmail-x_MsoNormal" style="margin:0cm;font-size:11pt;font-family:Calibri,sans-serif"><span style="font-size:12pt;font-family:Arial,sans-serif">Main conference:17 & 18 June</span></li></ul><p class="gmail-x_MsoNormal" style="margin:0cm;font-size:11pt;font-family:Calibri,sans-serif"><b><span style="font-size:12pt;font-family:Arial,sans-serif">Tutorials: </span></b></p><div><p class="gmail-x_MsoNormal" style="margin:0cm;font-size:11pt;font-family:Calibri,sans-serif"><b><span style="font-size:12pt;font-family:Arial,sans-serif"> </span></b></p></div><div><p class="gmail-x_MsoNormal" style="margin:0cm;font-size:11pt;font-family:Calibri,sans-serif"><b><span style="font-size:12pt;font-family:Arial,sans-serif">MedCAT/CogStack (12:30-14:30)</span></b><span style="font-size:12pt;font-family:Arial,sans-serif"> This session will introduce <a href="https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fgithub.com%2FCogStack%2FMedCAT&data=04%7C01%7Cnick.cummins%40kcl.ac.uk%7Cd9777cbbfc1b4614cae908d924b975fc%7C8370cf1416f34c16b83c724071654356%7C0%7C0%7C637581201249116809%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&sdata=N6u4T6aui519UAS%2BXs8cX6c5cr2e4dy7Si%2FtmtWegHs%3D&reserved=0" target="_blank" style="color:blue">the MedCAT/CogStack framework</a>, which is a stack of software that facilitates user-friendly concept annotation and information extraction from clinical text. The tutorial will start by describing different components of the software, and finish with an application of a text mining model to data.<b></b></span></p><div><div><p class="gmail-x_MsoNormal" style="margin:0cm;font-size:11pt;font-family:Calibri,sans-serif"><b><span style="font-size:12pt;font-family:Arial,sans-serif"> </span></b></p></div><div><p class="gmail-x_MsoNormal" style="margin:0cm;font-size:11pt;font-family:Calibri,sans-serif"><b><span style="font-size:12pt;font-family:Arial,sans-serif">Exploring Text-derived Patient Phenotype Profiles (15:00-17:00)</span></b><span style="font-size:12pt;font-family:Arial,sans-serif"> This tutorial will introduce <a href="https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fgithub.com%2Freality%2Fkomenti&data=04%7C01%7Cnick.cummins%40kcl.ac.uk%7Cd9777cbbfc1b4614cae908d924b975fc%7C8370cf1416f34c16b83c724071654356%7C0%7C0%7C637581201249116809%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&sdata=c%2Bir%2FYkP7OlisN0eM4%2FMUY6vlg%2BFOaySoQ%2BThBBJ%2B5o%3D&reserved=0" target="_blank" style="color:blue">Komenti</a>, and discuss the construction and use of text-derived patient phenotype profiles. This will consist in learning definitions, building phenotype profiles from clinical text, and using semantic methods to employ these profiles for ranking/classification outcomes, e.g. differential diagnosis.  <b></b></span></p></div></div></div></div><div><p class="gmail-x_MsoNormal" style="margin:0cm;font-size:11pt;font-family:Calibri,sans-serif"><span style="font-size:12pt;font-family:Arial,sans-serif"> </span></p></div><div><p class="gmail-x_MsoNormal" style="margin:0cm;font-size:11pt;font-family:Calibri,sans-serif"><b><span style="font-size:12pt;font-family:Arial,sans-serif">Keynotes:</span></b><span style="font-size:12pt;font-family:Arial,sans-serif"></span></p><ul type="disc" style="margin-bottom:0cm"><li class="gmail-x_MsoNormal" style="margin:0cm;font-size:11pt;font-family:Calibri,sans-serif"><b><span style="font-size:12pt;font-family:Arial,sans-serif">Dr Aurélie Névéol</span></b><span style="font-size:12pt;font-family:Arial,sans-serif"> (Université Paris-Saclay, CNRS, LIMSI), who will discuss “Responsible bioNLP in the making: contributions from ethics, reproducibility and the state of NLP”</span></li><li class="gmail-x_MsoNormal" style="margin:0cm;font-size:11pt;font-family:Calibri,sans-serif"><b><span style="font-size:12pt;font-family:Arial,sans-serif">Prof Maria Liakata</span></b><span style="font-size:12pt;font-family:Arial,sans-serif"> (Queen Mary University, the Alan Turing Institute), who will talk about the "Opportunities, challenges and progress in longitudinal natural language processing for mental health"</span></li></ul></div><div><p class="gmail-x_MsoNormal" style="margin:0cm;font-size:11pt;font-family:Calibri,sans-serif"><span style="font-size:12pt;font-family:Arial,sans-serif"> </span></p></div><p class="gmail-x_MsoNormal" style="margin:0cm;font-size:11pt;font-family:Calibri,sans-serif"><span style="font-size:12pt;font-family:Arial,sans-serif">HealTAC 2021 is happy to be sponsored by <a href="https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.frontiersin.org%2F&data=04%7C01%7Cnick.cummins%40kcl.ac.uk%7Cd9777cbbfc1b4614cae908d924b975fc%7C8370cf1416f34c16b83c724071654356%7C0%7C0%7C637581201249126760%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&sdata=h%2Bl6nHJ7uUy6RAf0xscdlRGIOAI2fjCDBr7gsdLbzIU%3D&reserved=0" target="_blank" style="color:blue">Frontiers</a>.</span></p></div></div></div></div></div>