{"id":20644705,"url":"https://github.com/epistasislab/interpret_ehr","last_synced_at":"2025-07-26T07:08:54.486Z","repository":{"id":74011977,"uuid":"175505734","full_name":"EpistasisLab/interpret_ehr","owner":"EpistasisLab","description":"Interpretation of machine learning predictions for patient outcomes in electronic health records","archived":false,"fork":false,"pushed_at":"2019-11-19T15:11:43.000Z","size":5008,"stargazers_count":9,"open_issues_count":0,"forks_count":3,"subscribers_count":4,"default_branch":"master","last_synced_at":"2025-07-09T04:38:10.413Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"gpl-3.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/EpistasisLab.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,"zenodo":null}},"created_at":"2019-03-13T22:03:08.000Z","updated_at":"2024-05-22T09:30:38.000Z","dependencies_parsed_at":null,"dependency_job_id":"b400f86b-9b99-4512-b624-67422a1b293c","html_url":"https://github.com/EpistasisLab/interpret_ehr","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/EpistasisLab/interpret_ehr","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/EpistasisLab%2Finterpret_ehr","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/EpistasisLab%2Finterpret_ehr/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/EpistasisLab%2Finterpret_ehr/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/EpistasisLab%2Finterpret_ehr/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/EpistasisLab","download_url":"https://codeload.github.com/EpistasisLab/interpret_ehr/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/EpistasisLab%2Finterpret_ehr/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":267133934,"owners_count":24040789,"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","status":"online","status_checked_at":"2025-07-26T02:00:08.937Z","response_time":62,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"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":"2024-11-16T16:17:19.151Z","updated_at":"2025-07-26T07:08:54.477Z","avatar_url":"https://github.com/EpistasisLab.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"This repo contains the analysis for the paper \n[\"Interpretation of machine learning predictions for patient outcomes in electronic health records\"](https://arxiv.org/abs/1903.12074)\nby William La Cava, Chris Bauer, Jason H. Moore, and Sarah A. Pendergrass.\n\n - the `analysis/` folder contains the code to run the experiments. \n - the `notebooks/` folder contains the results analysis.\n - the `results/` folder contains the raw results files.\n\n[Here is a link](https://drive.google.com/file/d/0B1iHrZwOcNdaLUNrdkJ6bEZlZm9xUXdOaTZ1clFtaEZlZHZv/view?usp=sharing) to my AMIA presentation.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fepistasislab%2Finterpret_ehr","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fepistasislab%2Finterpret_ehr","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fepistasislab%2Finterpret_ehr/lists"}