{"id":18365316,"url":"https://github.com/mit-lcp/echo-data","last_synced_at":"2026-01-23T16:10:53.952Z","repository":{"id":142803899,"uuid":"52824253","full_name":"MIT-LCP/echo-data","owner":"MIT-LCP","description":"Code related to extracting structured data from echocardiography reports","archived":false,"fork":false,"pushed_at":"2016-02-29T21:14:24.000Z","size":2,"stargazers_count":1,"open_issues_count":2,"forks_count":3,"subscribers_count":6,"default_branch":"master","last_synced_at":"2025-04-10T17:00:00.730Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":null,"has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/MIT-LCP.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,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2016-02-29T20:58:17.000Z","updated_at":"2020-07-26T16:54:36.000Z","dependencies_parsed_at":"2023-08-21T09:15:25.766Z","dependency_job_id":null,"html_url":"https://github.com/MIT-LCP/echo-data","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/MIT-LCP/echo-data","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MIT-LCP%2Fecho-data","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MIT-LCP%2Fecho-data/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MIT-LCP%2Fecho-data/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MIT-LCP%2Fecho-data/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/MIT-LCP","download_url":"https://codeload.github.com/MIT-LCP/echo-data/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MIT-LCP%2Fecho-data/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":28695528,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-01-23T15:57:05.722Z","status":"ssl_error","status_checked_at":"2026-01-23T15:56:27.656Z","response_time":59,"last_error":"SSL_read: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"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":[],"created_at":"2024-11-05T23:13:09.877Z","updated_at":"2026-01-23T16:10:53.923Z","avatar_url":"https://github.com/MIT-LCP.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"# Structuring data from echocardiography reports\n\nThis repository contains code for structuring data from echocardiography reports.\nThis data can be used in studying the relationship between cardiac function and patient health.\n\n# How to access the data\n\nIf you are simply interested in accessing the data, it is available on PhysioNetWorks: https://physionet.org/users/\n\nPhysioNet Works is an online repository allowing selective access to data for credentialed users. In order to directly access the data, users must be accredited to use the MIMIC-III clinical database.\nIf you do not have the appropriate access, you can acquire it by following the steps detailed [here](http://mimic.physionet.org/gettingstarted/access/).\n\nOnce you have access to the MIMIC-III database, log in to PhysioNetWorks with your username/password. \nGo to the \"MIMIC-III Related Work\" project, and scroll down to \"Echocardiography data\". The CSV files are available to download.\nThey can be linked back to the MIMIC-III database using `SUBJECT_ID`, `HADM_ID` or `ICUSTAY_ID`.\n\n# How to use this repository\n\nBefore using this repository, you'll need to:\n\n1. Install Python 2.7\n      * The numpy, pandas, and psycopg2 packages are also required\n2. Install PostgreSQL 9.4 or higher\n3. Install MIMIC-III locally on your system\n      * This requires access to the MIMIC-III database, detailed [here](http://mimic.physionet.org/gettingstarted/access/).\n      * An install guide is available [here](http://mimic.physionet.org/tutorials/install-mimic-locally-ubuntu/) (Ubuntu/Mac OS X) or [here](http://mimic.physionet.org/tutorials/install-mimic-locally-windows/) (Windows).\n\nOnce these are available on your system, you can begin running the Python script which will generate \n  \n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmit-lcp%2Fecho-data","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmit-lcp%2Fecho-data","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmit-lcp%2Fecho-data/lists"}