Commit new tools

_data/tools.json

@@ -2067,7 +2067,7 @@
       "modified": "2023-05-29 16:47:23.297000",
       "description": "We have trained and validated a dedicated NER system to identify 7 categories: dosage, drug, duration, form, frequency, route and strength. We used transfer learning and self-supervised pre-training on 2.1 million documents from MIMIC EHR. Strict and lenient micro F1 achieved = 0.89 (0.95). \n\n### Results & Insights\n\nThe model is trained in order to support the clinical NLP community with a robust and accurate NER model for further downstream tasks. The development was motivated by two main goals: accuracy and interoperability. The model is written in Python 3.6+ and is compatible with spaCy pipelines, which is a free software for general NLP tasks.",
       "license": "MIT",
-      "views": 36,
+      "views": 37,
       "category": "Named entity recognition (NER) model",
       "relations": [],
       "keywords": [
@@ -6193,7 +6193,7 @@
       "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": 343,
+      "views": 344,
       "category": "Data Visualisation",
       "relations": [],
       "keywords": [
@@ -6815,7 +6815,7 @@
       "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": 242,
+      "views": 243,
       "category": "Web application",
       "relations": [],
       "keywords": [],
@@ -7063,7 +7063,7 @@
       "modified": "2023-07-03 07:18:05.805000",
       "description": "ICODA Grand Challenge - Drive Project\nThis is the code repository of the EFFECT-Brazil driver project from the ICODA Grand Challenge.\n\nThe project is driven by a multiprofessional team of researchers from the Center for Healthcare Operations and Intelligence (N\u00facleo de Opera\u00e7\u00f5es e Intelig\u00eancia em Sa\u00fade) (NOIS), of the Department of Industrial Engineering @ PUC-Rio\n\nContact us at:\nTwitter: @NOIS_PUCRio\nnois [at] puc-rio [dot] br",
       "license": "",
-      "views": 45,
+      "views": 46,
       "category": "Repository",
       "relations": [],
       "keywords": [

_data/tools.yaml

@@ -2238,7 +2238,7 @@ tools:
   relations: []
   type: ''
   uploader: 20203192139498904
-  views: 36
+  views: 37
 - '@schema':
     type: tool
   _id: 5330147649379575
@@ -6704,7 +6704,7 @@ tools:
   relations: []
   type: ''
   uploader: 9541533584051376
-  views: 343
+  views: 344
 - '@schema':
     type: tool
   _id: 5859299510804015
@@ -7361,7 +7361,7 @@ tools:
   relations: []
   type: ''
   uploader: 22850500618628944
-  views: 242
+  views: 243
 - '@schema':
     type: tool
   _id: 3766311756007228
@@ -7619,7 +7619,7 @@ tools:
   relations: []
   type: ''
   uploader: 6958421021490282
-  views: 45
+  views: 46
 - '@schema':
     type: tool
   _id: 9663526826371492