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Susheel Varma
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| "modified": "2023-05-30 15:25:06.543000", | ||
| "description": "SAIL stands for Secure Anonymised Information Linkage. The SAIL Databank is a world-class flagship for the robust secure storage and use of anonymised person-based data for research to improve health, well-being and services. Its databank of anonymised data about the population of Wales is internationally recognised.\u00a0SAIL also provides trusted research environment (TRE) services to national programmes and hubs, such as BREATHE, the Health Data Research Hub for Respiratory Health.", | ||
| "license": "", | ||
| "views": 352, | ||
| "views": 354, | ||
| "category": "Platform", | ||
| "relations": [], | ||
| "keywords": [ | ||
|
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@@ -6065,7 +6065,7 @@ | |
| "modified": "2023-05-07 21:23:07.261000", | ||
| "description": "Application to extract a when a Diagnosis of Epilepsy was made. Output Values: CUI (of Epileptic Syndrome) and Age (Units, Upper and Lower Limit).\n\n### Results & Insights\n\nResults of version 1 are available here - https://bmjopen.bmj.com/content/9/4/e023232", | ||
| "license": "", | ||
| "views": 47, | ||
| "views": 48, | ||
| "category": "NLP System", | ||
| "relations": [], | ||
| "keywords": [ | ||
|
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@@ -6100,7 +6100,7 @@ | |
| "modified": "2023-01-30 10:56:07.665000", | ||
| "description": "Application to extract a when a Diagnosis of Epilepsy was made. Output Values: CUI (of Epileptic Syndrome) and Date (Day, Month, Year). \n\n### Results & Insights\n\nResults of version 1 are available here - https://bmjopen.bmj.com/content/9/4/e023232", | ||
| "license": "", | ||
| "views": 54, | ||
| "views": 55, | ||
| "category": "NLP System", | ||
| "relations": [], | ||
| "keywords": [ | ||
|
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@@ -6274,7 +6274,7 @@ | |
| "modified": "2023-03-17 04:21:51.240000", | ||
| "description": "This interactive visualizations report focus on exploring how the risk of precarious work has evolved in the COVID-19 UK from a gender, ethnicity, and class perpective.\n\nThe code of this dashboard is available here: https://github.com/luistorresr/gender_covid_uk/tree/main/Outputs/Report_2_precariousness\n\nThis tool is part of the research project \"How is COVID-19 impacting women and men's working lives in the UK?\" which is part of the Data and Connectivity National Core Study, led by Health Data Research UK in partnership with the Office for National Statistics and funded by UK Research and Innovation (grant ref MC_PC_20029).\n\n### Results & Insights\n\nThis is a report written in R Markdown for interactive data visualizations. Reports are produced as a word document and as an html file that can be uploded to a web hosting.\n\nVisualization can be adapted to create dashboards and monitor seudo-longitudinal trends.", | ||
| "license": "MIT license", | ||
| "views": 65, | ||
| "views": 66, | ||
| "category": "Data Visualisation", | ||
| "relations": [], | ||
| "keywords": [ | ||
|
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@@ -6318,7 +6318,7 @@ | |
| "modified": "2023-05-19 10:47:41.492000", | ||
| "description": "This interactive visualizations report focus on exploring how self-employment has changed since the COVID-19 pandemic in the UK\n\nThe code of this dashboard is available here: https://github.com/luistorresr/gender_covid_uk/tree/main/Outputs/Report_3_selfemployment\n\nThis tool is part of the research project \"How is COVID-19 impacting women and men's working lives in the UK?\" which is part of the Data and Connectivity National Core Study, led by Health Data Research UK in partnership with the Office for National Statistics and funded by UK Research and Innovation (grant ref MC_PC_20029).\n\n### Results & Insights\n\nThis is a report written in R Markdown for interactive data visualizations. Reports are produced as a word document and as an html file that can be uploded to a web hosting.\n\nVisualization can be adapted to create dashboards and monitor seudo-longitudinal trends.", | ||
| "license": "MIT license", | ||
| "views": 117, | ||
| "views": 118, | ||
| "category": "Data Visualisation", | ||
| "relations": [], | ||
| "keywords": [ | ||
|
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@@ -6361,7 +6361,7 @@ | |
| "modified": "2023-05-24 12:59:59.863000", | ||
| "description": "Infographic summarising results of research study\n\n### Results & Insights\n\n RESULTS: The study found increased risk of thrombocytopenia after ChAdOx1 nCoV-19 vaccination (incidence rate ratio 1.33, 95% confidence interval 1.19 to 1.47 at 8-14 days) and after a positive SARS-CoV-2 test (5.27, 4.34 to 6.40 at 8-14 days); increased risk of venous thromboembolism after ChAdOx1 nCoV-19 vaccination (1.10, 1.02 to 1.18 at 8-14 days) and after SARS-CoV-2 infection (13.86, 12.76 to 15.05 at 8-14 days); and increased risk of arterial thromboembolism after BNT162b2 mRNA vaccination (1.06, 1.01 to 1.10 at 15-21 days) and after SARS-CoV-2 infection (2.02, 1.82 to 2.24 at 15-21 days). Secondary analyses found increased risk of CVST after ChAdOx1 nCoV-19 vaccination (4.01, 2.08 to 7.71 at 8-14 days), after BNT162b2 mRNA vaccination (3.58, 1.39 to 9.27 at 15-21 days), and after a positive SARS-CoV-2 test; increased risk of ischaemic stroke after BNT162b2 mRNA vaccination (1.12, 1.04 to 1.20 at 15-21 days) and after a positive SARS-CoV-2 test; and increased risk of other rare arterial thrombotic events after ChAdOx1 nCoV-19 vaccination (1.21, 1.02 to 1.43 at 8-14 days) and after a positive SARS-CoV-2 test. CONCLUSION: Increased risks of haematological and vascular events that led to hospital admission or death were observed for short time intervals after first doses of the ChAdOx1 nCoV-19 and BNT162b2 mRNA vaccines. The risks of most of these events were substantially higher and more prolonged after SARS-CoV-2 infection than after vaccination in the same population.", | ||
| "license": "CC BY NC 3.0", | ||
| "views": 135, | ||
| "views": 136, | ||
| "category": "infographic", | ||
| "relations": [], | ||
| "keywords": [], | ||
|
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@@ -6391,7 +6391,7 @@ | |
| "modified": "2024-02-06 11:17:54.906000", | ||
| "description": "The Catalogue of Mental Health Measures is designed to provide easy access to information about the mental health measures included in UK cohort and longitudinal studies to maximise the uptake of existing data and facilitate mental health research.\n\nThe Catalogue provides descriptions of the studies as well as the instruments used to assess mental health and wellbeing. It also includes details on each measure such as the items, informants, response scale and reporting period. Users can explore existing data by searching for a specific study, a mental health topic, or an instrument. \n\nBy providing details of the measures and studies, the Catalogue serves as a resource for researchers to identify datasets that include mental health and wellbeing measures, plan harmonisation studies, and plan further data collection.\n\nThe Catalogue collaborates with [DATAMIND](https://web.www.healthdatagateway.org/collection/538080398356078) and the DATAMIND Super Research Advisory group (SRAG). DATAMIND continuously organises UK data, focusing on mental health information, including gene studies, routine care, volunteer cohorts, and trials (often through the Catalogue of Mental Health Measures), as well as novel data from schools and charities. The overall aim is to transform how mental health data in the UK is accessed and found and used.\n\n### Results & Insights\n\nThe Catalogue of Mental Health Measures features over 55 cohort studies, more than 4,000 measures of mental health and wellbeing, and covers 30+ mental health topics. \n\nThe Catalogue includes a range of study types, including birth cohorts, twin studies, repeated cross-sectional studies, accelerated longitudinal and household panel designs. Some were specifically designed to focus on mental health, while others have included mental health measures within a more multi-purpose context.\n", | ||
| "license": "", | ||
| "views": 422, | ||
| "views": 423, | ||
| "category": "Dataset discovery tool", | ||
| "relations": [], | ||
| "keywords": [ | ||
|
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@@ -6570,7 +6570,7 @@ | |
| "modified": "2023-05-28 23:17:58.002000", | ||
| "description": "Part of a set of infographics developed by Health Data Research UK that help explain some of the Gateway's key functionalities in an easy to understand format as well as some of the other programmes and services available at HRD UK.\n\nThis one relates to the Health Data Research Hubs - centres of excellence with expertise, tools, knowledge and ways of working to maximise the insights and innovations developed from health data. \n\nFree for all to download, use and share but please credit the Health Data Research UK when using this tool.", | ||
| "license": "CC BY NC 3.0", | ||
| "views": 36, | ||
| "views": 37, | ||
| "category": "infographic", | ||
| "relations": [], | ||
| "keywords": [ | ||
|
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@@ -6785,7 +6785,7 @@ | |
| "modified": "2023-07-03 07:20:05.241000", | ||
| "description": "I-DSD, I-CAH and I-TS provide the means of connecting clinical and research centres around the world and allow these centres to collect standardised information aimed at improving clinical practice, research and understanding of a wide range of conditions affecting sexual development and maturation. In 2021, the I-DSD/I-CAH/I-TS had a network that reached 260 centres in 63 countries on all the continents. Of these, 115 centres from 40 countries use the registries and have entered over 5,500 cases where information can be shared for a range of purposes that have the ultimate aim of improving the health of people with these rare conditions.", | ||
| "license": "", | ||
| "views": 25, | ||
| "views": 26, | ||
| "category": "Dataset", | ||
| "relations": [], | ||
| "keywords": [], | ||
|
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@@ -7026,7 +7026,7 @@ | |
| "modified": "2023-07-03 07:19:59.791000", | ||
| "description": "TREEHOOSE is an open source infrastructure-as-code Trusted Research Environment (TRE) freely available for use. It is built upon >10 years of TRE experience by the Health Informatics Centre - a Scottish regional Safe Haven - and uses modern cloud technology for flexibility, scalability and performance.\n\nTo find out more about TREEHOOSE see the DARE UK report: https://doi.org/10.5281/zenodo.7085504\n\nContact email: [email protected]", | ||
| "license": "Apache License 2.0", | ||
| "views": 105, | ||
| "views": 107, | ||
| "category": "Platform", | ||
| "relations": [], | ||
| "keywords": [ | ||
|
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@@ -7158,7 +7158,7 @@ | |
| "modified": "2023-09-04 14:22:05.302000", | ||
| "description": "The ACEsinEHRs library allows users to search and access tools, code lists, algorithms and scripts for validated indicators to identify adverse childhood experiences (ACEs) in electronic health records (EHRs) of parents and children before and after birth.\n\nThe platform provides information on definitions, theoretical and clinical concepts and \"how to guides\" to help users apply the developed ACE indicators to create \u201cresearch-ready\u201d datasets.\n\n### Results & Insights\n\nMission statement and aims:\n-To improve the health of families and young people by using electronic health records (EHRs) to identify and measure adverse childhood experiences (ACEs).\n-To advocate for early support and family centred services for families with ACEs.\n-To work with researchers, professionals, and policymakers to promote trauma-informed care and public health policies that support families affected by ACEs.\n-To enhance the methodological standard, accessibility, and utility of data-driven think-family approaches to study adversity using EHRs.\n-To provide a validated system to measure intervenable and clinically relevant ACEs with the potential to support trauma-informed data-driven research, public health, policy, and health care.\n-To continuously develop the www.ACEsinEHRs.com platform to improve resources for researchers, professionals, and policymakers", | ||
| "license": "Apache 2", | ||
| "views": 87, | ||
| "views": 88, | ||
| "category": "Phenomics", | ||
| "relations": [], | ||
| "keywords": [ | ||
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@@ -7234,7 +7234,7 @@ | |
| "modified": "2024-06-05 10:15:17.822000", | ||
| "description": "A scalable documentation first ETL and data staging tool that understands a number of common healthcare reporting standards. (CDS, COSD, SACT, RTDS). Learn more at https://answerdigital.github.io/oxford-omop-data-mapper/", | ||
| "license": "Apache 2", | ||
| "views": 43, | ||
| "views": 44, | ||
| "category": "Data Integration and ETL Tool", | ||
| "relations": [], | ||
| "keywords": [], | ||
|
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