{"id":22774900,"url":"https://github.com/prem07a/heart-disease","last_synced_at":"2026-03-09T10:33:43.290Z","repository":{"id":185478609,"uuid":"673170806","full_name":"Prem07a/Heart-Disease","owner":"Prem07a","description":"\"Coding a Streamlit web app for heart disease prediction using a trained machine learning model.\"","archived":false,"fork":false,"pushed_at":"2024-05-06T11:53:46.000Z","size":1307,"stargazers_count":7,"open_issues_count":1,"forks_count":2,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-04-15T09:50:03.587Z","etag":null,"topics":["machine-learning","python3","streamlit-webapp"],"latest_commit_sha":null,"homepage":"https://heart-disease-checking.streamlit.app/","language":"Jupyter Notebook","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/Prem07a.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":"2023-08-01T03:14:35.000Z","updated_at":"2025-03-03T06:05:53.000Z","dependencies_parsed_at":null,"dependency_job_id":"3d70daa4-ab03-4ec3-a155-08078574d605","html_url":"https://github.com/Prem07a/Heart-Disease","commit_stats":null,"previous_names":["prem07a/heart-disease"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/Prem07a/Heart-Disease","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Prem07a%2FHeart-Disease","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Prem07a%2FHeart-Disease/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Prem07a%2FHeart-Disease/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Prem07a%2FHeart-Disease/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Prem07a","download_url":"https://codeload.github.com/Prem07a/Heart-Disease/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Prem07a%2FHeart-Disease/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":30291807,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-03-09T02:57:19.223Z","status":"ssl_error","status_checked_at":"2026-03-09T02:56:26.373Z","response_time":61,"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":["machine-learning","python3","streamlit-webapp"],"created_at":"2024-12-11T18:18:04.397Z","updated_at":"2026-03-09T10:33:43.251Z","avatar_url":"https://github.com/Prem07a.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"\n---\n\n# Heart Disease Prediction Streamlit App\n\nThis is a simple Streamlit web application that allows users to predict the likelihood of heart disease based on input features. The prediction is made using a machine learning model that has been trained on heart disease data.\n\n![dog and cat image](data/image/hd.png)\n\n[Live Website](https://heart-disease-checking.streamlit.app/)\n\n## Table of Contents\n\n- [Getting Started](#getting-started)\n  - [Prerequisites](#prerequisites)\n  - [Installation](#installation)\n- [Usage](#usage)\n- [Input Features](#input-features)\n- [Output](#output)\n\n## Getting Started\n\n### Prerequisites\n\nTo run this application, you need:\n\n- Python (3.6 or later)\n- Streamlit\n- pandas\n- pickle\n\n### Installation\n\n1. Clone this repository:\n\n```bash\ngit clone https://github.com/Prem07a/Heart-Disease.git\n```\n\n2. Navigate to the project directory:\n\n```bash\ncd Heart-Disease\n```\n\n3. Install the required dependencies:\n\n```bash\npip install -r requirements.txt\n```\n\n## Usage\n\nRun the Streamlit app by executing the following command in your terminal:\n\n```bash\nstreamlit run ./code/website/app.py\n```\n\nThe web application will open in your default web browser. You can then interact with the app by inputting various features and clicking the \"Predict\" button to get the predicted outcome.\n\n## Input Features\n\nThe following input features can be adjusted in the app:\n\n- Age\n- Sex (Male/Female)\n- Chest Pain Type\n- Resting Blood Pressure\n- Cholesterol\n- Fasting Blood Sugar (\u003e 120 mg/dl)\n- Resting Electrocardiographic Results\n- Maximum Heart Rate Achieved\n- Exercise Induced Angina\n- ST Depression Induced by Exercise Relative to Rest\n- Slope of the Peak Exercise ST Segment\n- Number of Major Vessels Colored by Fluoroscopy\n- Thalassemia\n\n## Output\n\nAfter adjusting the input features and clicking \"Predict,\" the app will display the predicted outcome, indicating whether the prediction suggests a positive or negative likelihood of heart disease.\n\n## Thanks\n\nI would like to thank \u003ca href = \"https://github.com/Akshat-Projects\"\u003eAkshat\u003c/a\u003e for reporting a bug in streamlit app.\n\n---\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fprem07a%2Fheart-disease","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fprem07a%2Fheart-disease","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fprem07a%2Fheart-disease/lists"}