{"id":14068558,"url":"https://github.com/ceefluz/radar","last_synced_at":"2025-07-11T05:35:25.926Z","repository":{"id":201507324,"uuid":"113433896","full_name":"ceefluz/radar","owner":"ceefluz","description":"An interactive tool for rapid analysis of diagnostic and antimicrobial pattern in R using Shiny","archived":false,"fork":false,"pushed_at":"2020-06-30T15:03:19.000Z","size":7772,"stargazers_count":105,"open_issues_count":3,"forks_count":103,"subscribers_count":4,"default_branch":"master","last_synced_at":"2024-10-19T15:19:56.690Z","etag":null,"topics":["antimicrobial","data-visualization","electronic-medical-records","shiny","tool"],"latest_commit_sha":null,"homepage":"https://ceefluz.shinyapps.io/radar/","language":"R","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"gpl-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/ceefluz.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null}},"created_at":"2017-12-07T10:02:19.000Z","updated_at":"2024-08-12T06:00:21.000Z","dependencies_parsed_at":null,"dependency_job_id":"76fc4334-5490-4bdf-b745-d827155535b5","html_url":"https://github.com/ceefluz/radar","commit_stats":null,"previous_names":["ceefluz/radar"],"tags_count":1,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ceefluz%2Fradar","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ceefluz%2Fradar/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ceefluz%2Fradar/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ceefluz%2Fradar/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/ceefluz","download_url":"https://codeload.github.com/ceefluz/radar/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":230462906,"owners_count":18229864,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["antimicrobial","data-visualization","electronic-medical-records","shiny","tool"],"created_at":"2024-08-13T07:06:16.173Z","updated_at":"2024-12-19T16:11:29.922Z","avatar_url":"https://github.com/ceefluz.png","language":"R","readme":"# `RadaR` ![logo_radar](man/figures/radar.png)\nRadaR is an application for intuitive, rapid and reproducible quality of care pattern analysis of infectious patients.\n\u003cbr\u003e\n\u003cbr\u003e\nPreprint about RadaR available: https://doi.org/10.1101/347534\n\u003cbr\u003e\n\u003cbr\u003e\nSee a running example [here](https://ceefluz.shinyapps.io/radar/).\n\n## Prerequisites for using RadaR\nRadaR was built in [R](https://www.r-project.org) , an open source programming language using the [Shiny package](https://shiny.rstudio.com), a web application framework for R. Users will need to download [R](https://cran.uni-muenster.de/) in order to use RadaR and we suggest the use of [RStudio](https://www.rstudio.com). R is completely free to use. All required code can be found in this github repositroy.\n\n## Input type for RadaR's calculation\nRadaR works with standard csv-files (.csv). The variables needed for RadaR are as follows:\n\n\n### Input variables for **RadaR**\n#### Admission data\n| Variable             \t| Detail                                                                           \t|\n|----------------------\t|----------------------------------------------------------------------------------\t|\n| id | Patient ID or study ID |\n| adm_id | Admission ID |\n| gender | Gender |\n| adm_start_date | Admission date (YYYY-MM-DD)  |\n| adm_end_date | Discharge date (YYYY-MM-DD)   |\n| death_during_adm | Death during admission (TRUE/FALSE) |\n| adm_route | Origin at admission |\n| sub_specialty | Sub-specialty |\n| specialty | General specialty (internal medicine, surgery, other) |\n| birth_date | Birth date (YYYY-MM-DD)  |\n\n#### Antimicrobial consumption data\n| Variable             \t| Detail                                                                           \t|\n|----------------------\t|----------------------------------------------------------------------------------\t|\n| id| Patient ID or study ID  |\n| ab_start_date| Start of antimicrobial treatment (YYYY-MM-DD) |\n| ab_stop_date| Stop of antimicrobial treatment (YYYY-MM-DD) |\n| ab_route | Administration route (e.g. IV, oral, ...) |\n| atc_code| ATC code according WHO ATC classification system |\n| ddd_per_day| Defined daily dose of antimicrobial according to WHO ATC classification system per day|\n\n#### Microbiological data\n| Variable             \t| Detail                                                                           \t|\n|----------------------\t|----------------------------------------------------------------------------------\t|\n| id | Patient ID or study ID |\n| specialty | Ordering specialty |\n| antimicrobial susceptibility testing | Several columns of tested antimicrobial agents (e.g. amox, cipr etc.) with resistance results (R / I / S) |\n| mo | Microbial ID (if test is positive) following the nomenclature of the Integrated Taxonomic Information System\n| material | Test material (currently supported: blood and urine) |\n| test_date  | Test date (YYYY-MM-DD) |\n| test_number | Test number |\n\nThese data will be loaded, merged, and transformed for analysis upon start of RadaR\n\n## Privacy and storage\nRadaR works with sensitive hospital data and is based on single observations on the patient level. All data for the running [example](https://ceefluz.shinyapps.io/radar/) is simulated and don't represent any real patients. \n\u003cbr\u003e\nRadaR can be run locally on protected servers within institutions (for example: [Shiny server](https://www.rstudio.com/products/shiny/shiny-server/)) or on personal machines (mac, windows, linus).\n\n## Author\n\n![logo_uni](man/figures/logo_en.png)![logo_umcg](man/figures/logo_umcg.png)\n\nRadaR was created at the Faculty of Medical Sciences of the [University of Groningen](https://www.rug.nl/) and the Medical Microbiology \u0026 Infection Prevention department of the University Medical Center Groningen (UMCG) by [Christian Luz](https://www.rug.nl/staff/c.f.luz/), PhD Student.\n\n## Copyright\n[![License](https://img.shields.io/badge/Licence-GPL%20v2.0-orange.svg)](https://github.com/ceefluz/radar/blob/master/LICENSE)\nRadaR is licensed under the [GNU General Public License (GPL) v2.0](https://github.com/ceefluz/radar/blob/master/LICENSE). In a nutshell, this means that this package:\n\n- May be used for commercial purposes\n\n- May be used for private purposes\n\n- May be modified, although:\n\n  - Modifications **must** be released under the same license when distributing the package\n  - Changes made to the code **must** be documented\n\n- May be distributed, although:\n\n  - Source code **must** be made available when the package is distributed\n  - A copy of the license and copyright notice **must** be included.\n\n- Comes with a LIMITATION of liability\n\n- Comes with NO warranty\n","funding_links":[],"categories":["R"],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fceefluz%2Fradar","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fceefluz%2Fradar","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fceefluz%2Fradar/lists"}