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Susheel Varma committed Nov 9, 2023
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182 changes: 91 additions & 91 deletions _data/tools.json
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{
"count": 208,
"tools": [
{
"@schema": {
"type": "tool"
},
"_id": 19001,
"type": "",
"name": "CMMID Interactive Applications",
"link": "https://cmmid.github.io/visualisations",
"authors": [
190000
],
"uploader": "",
"issued": "2020-05-27 00:00:00",
"modified": "2023-05-30 20:41:32.141000",
"description": "",
"license": "",
"views": 285,
"category": "Data Modelling",
"relations": [],
"keywords": [
"COVID-19",
"Modelling",
"Visualisation"
],
"programming_languages": [
{
"name": "R",
"version": ""
}
]
},
{
"@schema": {
"type": "tool"
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"@schema": {
"type": "tool"
},
"_id": 19006,
"_id": 19003,
"type": "",
"name": "COVID-19 Phenomics",
"link": "http://covid19-phenomics.org/",
"name": "COVID-19 Contact Tracing App - iOS",
"link": "https://github.com/nhsx/COVID-19-app-iOS-BETA",
"authors": [
190000
],
"uploader": "",
"issued": "2020-05-27 00:00:00",
"modified": "2023-05-17 16:08:38.817000",
"description": "",
"license": "",
"views": 139,
"category": "Phenomics",
"modified": "2022-11-30 02:46:05.469000",
"description": "This application runs in the background and identifies other people running the app within the local area by using low energy Bluetooth. While the app is running permanently in the background, it periodically broadcasts and listens for other Bluetooth-enabled devices (iOS and Android at this time) that also broadcast the same unique identifier.",
"license": "MIT",
"views": 65,
"category": "Mobile Application",
"relations": [],
"keywords": [
"COVID-19",
"Phenomics"
"Contact Tracing",
"iOS"
],
"programming_languages": []
"programming_languages": [
{
"name": "Objective-C",
"version": ""
}
]
},
{
"@schema": {
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}
]
},
{
"@schema": {
"type": "tool"
},
"_id": 19007,
"type": "",
"name": "COVID-19 Symptom Tracker App",
"link": "https://covid.joinzoe.com/",
"authors": [
190000
],
"uploader": "",
"issued": "2020-05-27 00:00:00",
"modified": "2023-05-28 22:40:37.701000",
"description": "The COVID Symptom Study app has been developed by King\u2019s College London and health science company ZOE, and it is endorsed by the Welsh Government, NHS Wales, the Scottish Government and NHS Scotland.\n\nMore than 2.5 million participants have downloaded the app and are using it to regularly report on their health in order to help stop COVID.",
"license": "",
"views": 339,
"category": "Mobile Application",
"relations": [],
"keywords": [
"COVID-19",
"Symptom Tracker",
" NCS"
],
"programming_languages": [
{
"name": "Other",
"version": ""
}
]
},
{
"@schema": {
"type": "tool"
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"@schema": {
"type": "tool"
},
"_id": 19003,
"type": "",
"name": "COVID-19 Contact Tracing App - iOS",
"link": "https://github.com/nhsx/COVID-19-app-iOS-BETA",
"authors": [
190000
],
"uploader": "",
"issued": "2020-05-27 00:00:00",
"modified": "2022-11-30 02:46:05.469000",
"description": "This application runs in the background and identifies other people running the app within the local area by using low energy Bluetooth. While the app is running permanently in the background, it periodically broadcasts and listens for other Bluetooth-enabled devices (iOS and Android at this time) that also broadcast the same unique identifier.",
"license": "MIT",
"views": 65,
"category": "Mobile Application",
"relations": [],
"keywords": [
"COVID-19",
"Contact Tracing",
"iOS"
],
"programming_languages": [
{
"name": "Objective-C",
"version": ""
}
]
},
{
"@schema": {
"type": "tool"
},
"_id": 19009,
"_id": 19006,
"type": "",
"name": "BSTI COVID-19 Imaging Database",
"link": "https://www.bsti.org.uk/training-and-education/covid-19-bsti-imaging-database/",
"name": "COVID-19 Phenomics",
"link": "http://covid19-phenomics.org/",
"authors": [
190000
],
"uploader": "",
"issued": "2020-05-27 00:00:00",
"modified": "2023-05-11 09:21:27.231000",
"modified": "2023-05-17 16:08:38.817000",
"description": "",
"license": "",
"views": 188,
"category": "",
"views": 139,
"category": "Phenomics",
"relations": [],
"keywords": [
"COVID-19"
"COVID-19",
"Phenomics"
],
"programming_languages": []
},
{
"@schema": {
"type": "tool"
},
"_id": 19001,
"_id": 19007,
"type": "",
"name": "CMMID Interactive Applications",
"link": "https://cmmid.github.io/visualisations",
"name": "COVID-19 Symptom Tracker App",
"link": "https://covid.joinzoe.com/",
"authors": [
190000
],
"uploader": "",
"issued": "2020-05-27 00:00:00",
"modified": "2023-05-30 20:41:32.141000",
"description": "",
"modified": "2023-05-28 22:40:37.701000",
"description": "The COVID Symptom Study app has been developed by King\u2019s College London and health science company ZOE, and it is endorsed by the Welsh Government, NHS Wales, the Scottish Government and NHS Scotland.\n\nMore than 2.5 million participants have downloaded the app and are using it to regularly report on their health in order to help stop COVID.",
"license": "",
"views": 285,
"category": "Data Modelling",
"views": 339,
"category": "Mobile Application",
"relations": [],
"keywords": [
"COVID-19",
"Modelling",
"Visualisation"
"Symptom Tracker",
" NCS"
],
"programming_languages": [
{
"name": "R",
"name": "Other",
"version": ""
}
]
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],
"programming_languages": []
},
{
"@schema": {
"type": "tool"
},
"_id": 19009,
"type": "",
"name": "BSTI COVID-19 Imaging Database",
"link": "https://www.bsti.org.uk/training-and-education/covid-19-bsti-imaging-database/",
"authors": [
190000
],
"uploader": "",
"issued": "2020-05-27 00:00:00",
"modified": "2023-05-11 09:21:27.231000",
"description": "",
"license": "",
"views": 188,
"category": "",
"relations": [],
"keywords": [
"COVID-19"
],
"programming_languages": []
},
{
"@schema": {
"type": "tool"
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"modified": "2023-05-30 15:14:05.854000",
"description": "Scalable Data Anonymization Tool - supports multiple privacy models.\n\nARX is a comprehensive open source software for anonymizing sensitive personal data. It supports a wide variety of (1) privacy and risk models, (2) methods for transforming data and (3) methods for analyzing the usefulness of output data. It supports various anonymization techniques, methods for analyzing data quality and re-identification risks and it supports well-known privacy models, such as k-anonymity, l-diversity, t-closeness and differential privacy.\nARX is an open source tool for transforming structured (i.e. tabular) personal data using selected methods from the broad areas of data anonymization and statistical disclosure control. It supports transforming datasets in ways that make sure that they adhere to user-specified privacy models and risk thresholds that mitigate attacks that may lead to privacy breaches. ARX can be used to remove direct identifiers (e.g. names) from datasets and to enforce further constraints on indirect identifiers. Indirect identifiers (or quasi-identifiers, or keys) are attributes that do not directly identify an individual but may together with other indirect identifiers form an identifier that can be used for linkage attacks. It is typically assumed that information about indirect identifiers is available to the attacker (in some form of background knowledge) and that they cannot simply be removed from the dataset (e.g. because they are required later for analyses).",
"license": "Apache License 2.0",
"views": 442,
"views": 443,
"category": "Data Anonymization Tool",
"relations": [],
"keywords": [
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"modified": "2023-07-03 07:18:33.408000",
"description": "Create and use de-identified databases for research.\n\n- Anonymises relational databases.\n\n- Extracts and de-identifies text from associated binary files.\n\n- Performs some specific preprocessing tasks; e.g.\n\n - preprocesses some specific databases (e.g. Servelec RiO EMR);\n - drafts a \"data dictionary\" for anonymisation, with special knowledge of\n some databases (e.g. TPP SystmOne);\n - fetches some word lists, e.g. forenames/surnames/eponyms.\n\n- Provides tools to link databases, including via Bayesian personal identity\n matching, in identifiable or de-identified fashion.\n\n- Provides a natural language processing (NLP) pipeline, including built-in\n NLP, support for external tools, and client/server support for the Natural\n Language Processing Request Protocol (NLPRP).\n\n- Web app for\n\n - querying the anonymised database;\n - providing a de-identification API;\n - managing a consent-to-contact process.\n\n### Results & Insights\n\nReference paper: Cardinal RN (2017), Clinical records anonymisation and text extraction (CRATE): an open-source software system. BMC Medical Informatics and Decision Making 17:50. https://pubmed.ncbi.nlm.nih.gov/28441940/; https://doi.org/10.1186/s12911-017-0437-1.\n\nSource code: https://github.com/ucam-department-of-psychiatry/crate",
"license": "GNU General Public License version 3.0 (GPLv3)",
"views": 50,
"views": 51,
"category": "Clinical Informatics Pipeline",
"relations": [],
"keywords": [
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