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Susheel Varma
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Jul 5, 2024
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| "modified": "2023-03-29 14:14:58.253000", | ||
| "description": "The RADAR-base platform is a scalable and inter-operable mHealth platform which provides capabilities for remote monitoring using passively (e.g. sensor data, wearables, IoT) and actively (e.g. questionnaires, digital tests). The platform developed at King's College London is already being used in a number of large-scale longitudinal mental and physical health-related disorder projects (see https://radar-base.org and https://github.com/RADAR-base/). The complete RADAR-base technology stack is available under an Apache 2 open source license and is supported by an active community of developers, researchers and clinicians who focus on continuously improving data quality, user experience, validation and extending the platform with new features and data sources.", | ||
| "license": "Apache License 2.0", | ||
| "views": 40, | ||
| "views": 41, | ||
| "category": "Platform", | ||
| "relations": [], | ||
| "keywords": [ | ||
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@@ -3334,7 +3334,7 @@ | |
| "modified": "2022-11-30 19:10:51.620000", | ||
| "description": "Application to identify instances of nightmares.\n\nBoth past and present symptom.\n\nOutput values: Positive, Negative and Unknown.\n\n### Results & Insights\n\nFor further details please visit the CRIS link provided", | ||
| "license": "Available upon request", | ||
| "views": 18, | ||
| "views": 19, | ||
| "category": "NLP System", | ||
| "relations": [], | ||
| "keywords": [ | ||
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@@ -4774,7 +4774,7 @@ | |
| "modified": "2023-02-07 00:56:24.949000", | ||
| "description": "The Medication Application distinguishes between medications that are currently prescribed (i.e. at the time of.\n\nBoth past and present symptom.\n\nOutput values: Positive and Unknown.\n\n### Results & Insights\n\nFor further details please visit the CRIS link provided", | ||
| "license": "Available upon request", | ||
| "views": 18, | ||
| "views": 19, | ||
| "category": "NLP System", | ||
| "relations": [], | ||
| "keywords": [ | ||
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@@ -5026,7 +5026,7 @@ | |
| "modified": "2023-05-23 13:16:46.141000", | ||
| "description": "An opensource platform that provides researchers with easy access to deploy collaborative workspace environments in the AWS Cloud, through a simple to use web interface. Offers the ability to operate across teams, universities, and datasets while enabling Research IT stakeholders to manage, monitor, and control spending, apply security best practices and comply with corporate governance.\n\nService Workbench targets Research workloads with out of the box service support for:\n\n JupyterLabs via Amazon SageMaker with Python Kernels\n Jupyter Notebooks on Amazon EMR + Hail v0.2\n RStudio on EC2\n Windows VM on Amazon EC2\n Linux VM on EC2\n\nAdditional product configuration can easily be added to Service Workbench through Service Catalog and be linked to researcher, institutional, and includes support for [AWS Open Data](https://registry.opendata.aws) data sets configured by Research IT for their researchers use across the institution.\n\nPlatform provides one-click option to admins for easier creation (vending) of new AWS accounts specific to researchers' teams for easier governance.\n\nThe code in the GitHub repo is fully functional but is intended as a stand-a-lone evaluation deployment and some foundational AWS knowledge is assumed.\n\nPlease contact the health research team at AWS for further information and support: [[email protected]](mailto:[email protected]); [[email protected]](mailto:[email protected]); [[email protected]](mailto:[email protected])", | ||
| "license": "Apache License 2.0", | ||
| "views": 456, | ||
| "views": 457, | ||
| "category": "Data Science Platform", | ||
| "relations": [], | ||
| "keywords": [ | ||
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| "modified": "2023-05-31 11:33:14.542000", | ||
| "description": "This interactive visualizations report focus on exploring unemployment and job loss 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_1_unemployment\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": 344, | ||
| "views": 345, | ||
| "category": "Data Visualisation", | ||
| "relations": [], | ||
| "keywords": [ | ||
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| "modified": "2024-04-10 09:52:53.471000", | ||
| "description": "Carrot-Mapper enables conversion of data to the OMOP Common Data Model, without data being egressed from its secure location, nor requiring access to the secure location. Carrot-Mapper automates as much of the process as possible, and also enables users to reuse each others' mappings. Carrot-Mapper pairs with Carrot-CDM to complete the OMOP conversion process.", | ||
| "license": "MIT", | ||
| "views": 246, | ||
| "views": 247, | ||
| "category": "Web application", | ||
| "relations": [], | ||
| "keywords": [], | ||
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