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Susheel Varma
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Sep 21, 2024
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| "modified": "2023-04-22 16:43:52.356000", | ||
| "description": "Community (Free Use - LIMITED), Pro and Enterprise (Paid Version)\n\nSQL Power Architect data modeling tool has many unique features geared specifically for the data warehouse architect. It is a powerful database utility that not only builds diagrams of databases, but also provides data dictionary language output, which can be used to build database solutions.\n\nConnects to multiple source databases concurrently, Compares data models & database structures and identifies discrepancies, Generates source-to-target visual Mapping Reports, Forward/reverse engineers PostgreSQL, Oracle, MS SQL Server & more.\n", | ||
| "license": "Proprietary", | ||
| "views": 47, | ||
| "views": 48, | ||
| "category": "Data Modelling Tool", | ||
| "relations": [], | ||
| "keywords": [ | ||
|
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@@ -1448,7 +1448,7 @@ | |
| "modified": "2023-04-17 18:01:35.088000", | ||
| "description": "The Pimcore Platform\u2122 is a dual-licensed software application that is powered by the Open Source GPLv3 license and the enterprise-friendly Pimcore Commercial License (PCL). Pimcore is available free of charge as the Open Source Pimcore Community Edition or as the Pimcore Enterprise Subscription. Depending on your licensing needs, you can choose the right variant of Pimcore.", | ||
| "license": "Open Source (GPL v3) or Enterprise subscription", | ||
| "views": 42, | ||
| "views": 43, | ||
| "category": "Software Application", | ||
| "relations": [], | ||
| "keywords": [ | ||
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@@ -1961,7 +1961,7 @@ | |
| "modified": "2023-03-26 09:52:45.293000", | ||
| "description": "Medication dosage instructions in electronic health records are often in the form of text rather than numbers. This program is designed to convert the text into numbers for the dose, frequency, units, duration etc.\n\n### Results & Insights\n\nThis is a rule-based algorithm for converting text dosage instructions into a structured form, designed for pharmacoepidemiology studies in primary care databases. When run in batch mode, the algorithm identifies unique dosage strings and uses a series of regular expressions to standardise the wording, then applies numerical extraction algorithms to extract dose number, frequency etc. and calculate the daily dose. It also flags if the instructions specify a dose range or state a maximum dose, or if it is an 'as required' prescription.\n\nThe algorithm can be run as an R service and called from other applications such as Python. \n\nThe original version of the algorithm was in Visual Basic, and it has been ported to R.", | ||
| "license": "GNU General Public License version 3.0 (GPLv3)", | ||
| "views": 51, | ||
| "views": 52, | ||
| "category": "Rule-based NLP system for converting text dosage instructions into a structured form", | ||
| "relations": [], | ||
| "keywords": [ | ||
|
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@@ -4306,7 +4306,7 @@ | |
| "modified": "2023-01-05 04:25:14.863000", | ||
| "description": "Application to identify patients with diagnoses of rheumatoid arthritis.\n\nBoth past and present symptom.\n\nOutput values: Positive.\n\n### Results & Insights\n\nFor further details please visit the CRIS link provided", | ||
| "license": "Available upon request", | ||
| "views": 23, | ||
| "views": 24, | ||
| "category": "NLP System", | ||
| "relations": [], | ||
| "keywords": [ | ||
|
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@@ -4342,7 +4342,7 @@ | |
| "modified": "2022-11-10 17:34:26.090000", | ||
| "description": "To identify instances of amphetamine use..\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": 29, | ||
| "views": 30, | ||
| "category": "NLP System", | ||
| "relations": [], | ||
| "keywords": [ | ||
|
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@@ -5056,7 +5056,7 @@ | |
| "modified": "2023-05-14 00:45:23.028000", | ||
| "description": "The goal of EndoMineR is to extract as much information as possible from free or semi-structured endoscopy reports and their associated pathology specimens.\n\nGastroenterology now has many standards against which practice is measured although many reporting systems do not include the reporting capability to give anything more than basic analysis. Much of the data is locked in semi-structured text. However the nature of semi-structured text means that data can be extracted in a standardised way- it just requires more manipulation.\n\nThis package provides that manipulation so that complex endoscopic-pathological analyses, in line with recognised standards for these analyses, can be done.", | ||
| "license": "", | ||
| "views": 81, | ||
| "views": 82, | ||
| "category": "NLP system", | ||
| "relations": [], | ||
| "keywords": [ | ||
|
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@@ -6164,7 +6164,7 @@ | |
| "modified": "2023-05-25 09:08:34.656000", | ||
| "description": "Standardised Covid-19 questionnaires have been created that are freely available to population health researchers to address health, behaviour, social, environmental and economic questions in the context of the pandemic. \n\nThe first questionnaire asks about COVID-19 signs and symptoms, and more broadly about the effect of lockdown on physical and mental health and overall wellbeing. The second questionnaire builds on the first and includes neighbourhood issues, domestic violence, alcohol use, healthcare, thoughts on the lockdown and new connections made during the pandemic. The group continues to expand the questionnaire bank as the pandemic unfolds. \n\nThe questionnaire is freely available and to use it simply get in touch via email:\u202f [email protected].\n\nThe questionnaires have been developed with the input of many individuals and longitudinal studies, contributing time to create, collect and analyse data.\n\n\n\n### Results & Insights\n\nInsights can be explored at https://www.closer.ac.uk/covid19-longitudinal-research-hub/\n\nPublications arising will be added in due course", | ||
| "license": "", | ||
| "views": 213, | ||
| "views": 214, | ||
| "category": "Questionnaire", | ||
| "relations": [], | ||
| "keywords": [ | ||
|
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@@ -6724,7 +6724,7 @@ | |
| "modified": "2023-05-22 13:22:22.913000", | ||
| "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 how the Gateway is providing a single data access request process built around the Five Safes Framework.\n\nFree for all to download, use and share but please credit the Health Data Research Innovation Gateway when using this tool.", | ||
| "license": "CC BY NC 3.0", | ||
| "views": 109, | ||
| "views": 110, | ||
| "category": "infographic", | ||
| "relations": [], | ||
| "keywords": [ | ||
|
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@@ -6754,7 +6754,7 @@ | |
| "modified": "2023-05-26 16:21:43.573000", | ||
| "description": "This tools provide insights into the neonatal health data contained within the National Neonatal Research Database (NNRD). The tools are aimed at parents, clinical teams, researchers, and health service managers.", | ||
| "license": "", | ||
| "views": 120, | ||
| "views": 121, | ||
| "category": "Data Modelling, Data Visualisation, Developer stack", | ||
| "relations": [], | ||
| "keywords": [ | ||
|
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@@ -7198,7 +7198,7 @@ | |
| "modified": "2024-08-22 07:20:20.279000", | ||
| "description": "The Data Safe Haven is an open-source infrastructure-as-code Trusted Research Environment (TRE) that is freely available for use, adaptation and extension by anyone. It has been used since autumn 2018 for all projects at the Alan Turing Institute that handle sensitive data. It is built on the Microsoft Azure cloud which makes it easy to deploy and to scale according to your needs.\n\nTo find out more, look at the following resources:\n\n- Our GitHub repository: https://github.com/alan-turing-institute/data-safe-haven/\n- Our documentation: https://data-safe-haven.readthedocs.io/en/latest/\n- Our Slack workspace: https://turingdatasafehaven.slack.com/\n- Contact email: [email protected]", | ||
| "license": "BSD 3-Clause \"New\" or \"Revised\" license", | ||
| "views": 150, | ||
| "views": 151, | ||
| "category": "Platform", | ||
| "relations": [], | ||
| "keywords": [ | ||
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