2021
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(3 December 2021) Led by Dr Rebecca Bendayan at King’s College London, our work Investigating the Association between Physical Health Comorbidities and Disability in Individuals with Severe Mental Illness is now accepted by European Psychiatry. We found individuals with Severe Mental Illness and musculoskeletal, skin/dermatological, respiratory endocrine, neurological, haematological or circulatory disorders are at higher risk of disability compared to those that do not have those comorbidities. There is a great and urgent need to provide targeted prevention and intervention programs for these vulnerable people.
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(28 November 2021) Huayu’s work on rare disease is now out with the Lancet as a conference abstract. Common conditions are widely recognised as risk factors for COVID-19 death, BUT effects of Rare Diseases are largely unknown. This study on Genomics England data shows significant increased mortality risks (OR 3·47) among rare disease individuals.
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(23 November 2021) New members! A very warm welcome to Yun-Hsuan Chang and Hengrui Zhang to join KnowLab for doing their MSc projects. Both are MSc students based in Institute of Health Informatics, UCL. Yun will be working on Parkinson’s Disease Modelling using mutimodal data and Hengrui will do deep learning models for automated coding from discharge summaries. Both projects are exciting!
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(9 October 2021) Great to know that Emma and Claire’s work on COVID subtype identification work has featured in Health Data Research UK’s website as a case study. Health Data Research UK is UK’s national institute of health data science.
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(5 October 2021) NLP of radiology reports has wide applications. However, the current literature has suboptimal reporting quality. This impedes comparison, reproducibility, and replication. Check our systematic review on reporting quality of NLP on radiology reports on BMC Medical Imaging.
Derive insights from health data using knowledge graph technologies
This article describes how knowledge graph technologies can help with health data science, particularly on free-text electronic health records.
Why bother using free-text clinical notes for research or patient care?
Alright, in general, we know a significant proportion of the world’s data is in an unstructured format like news articles, Tweets and blogs. Some say 80% of our data is unstructured, while others estimate even more.