{"id":38167764,"url":"https://github.com/cloudslab/healthfog","last_synced_at":"2026-01-16T23:23:24.252Z","repository":{"id":57133916,"uuid":"190688646","full_name":"Cloudslab/HealthFog","owner":"Cloudslab","description":"[FGCS'20] An ensemble deep learning based smart healthcare system for automatic diagnosis of heart diseases in integrated IoT and Fog computing environments","archived":false,"fork":false,"pushed_at":"2020-12-16T11:33:40.000Z","size":12253,"stargazers_count":26,"open_issues_count":1,"forks_count":9,"subscribers_count":3,"default_branch":"master","last_synced_at":"2025-09-10T04:06:50.407Z","etag":null,"topics":["deep-learning","fog-computing","fogbus","healthcare"],"latest_commit_sha":null,"homepage":"","language":"PHP","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/Cloudslab.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}},"created_at":"2019-06-07T04:38:25.000Z","updated_at":"2025-01-13T06:24:29.000Z","dependencies_parsed_at":"2022-09-03T17:30:45.186Z","dependency_job_id":null,"html_url":"https://github.com/Cloudslab/HealthFog","commit_stats":null,"previous_names":[],"tags_count":2,"template":false,"template_full_name":null,"purl":"pkg:github/Cloudslab/HealthFog","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Cloudslab%2FHealthFog","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Cloudslab%2FHealthFog/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Cloudslab%2FHealthFog/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Cloudslab%2FHealthFog/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Cloudslab","download_url":"https://codeload.github.com/Cloudslab/HealthFog/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Cloudslab%2FHealthFog/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":28487586,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-01-16T22:54:02.790Z","status":"ssl_error","status_checked_at":"2026-01-16T22:50:10.344Z","response_time":107,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.6:443 state=error: 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":["deep-learning","fog-computing","fogbus","healthcare"],"created_at":"2026-01-16T23:23:23.576Z","updated_at":"2026-01-16T23:23:24.238Z","avatar_url":"https://github.com/Cloudslab.png","language":"PHP","funding_links":[],"categories":[],"sub_categories":[],"readme":"# HealthFog\nAn ensemble deep learning based smart healthcare system for automatic diagnosis of heart diseases in integrated IoT and Fog computing environments\n\u003cdiv align=\"center\"\u003e\n\u003cimg src=\"https://github.com/Cloudslab/HealthFog/blob/master/HeartModel/fog-arch.jpg\" width=\"700\" align=\"middle\"\u003e\n\u003c/div\u003e\n\n## Quick installation guide\nHealthFog uses a master-slave design as shown in the figure above. To setup HealthFog in your fog environment follow these steps:\n\u003cb\u003eNote:\u003c/b\u003e You need atleast two windows/linux systems with python 3. Follow the following steps in each fog node (master and worker):\n1. Install [xampp](https://www.apachefriends.org/xampp-files/7.2.30/xampp-windows-x64-7.2.30-0-VC15-installer.exe) and run Apache server in windows or use \u003ci\u003eInstall-scripts/fogbus-install-generic.sh\u003c/i\u003e script in a linux device.\n2. Clone HealthFog repo at \u003ci\u003eC:/xampp/htdocs/\u003c/i\u003e (in windows) or \u003ci\u003evar/www/html/\u003c/i\u003e (in linux) and rename the folder as *HealthFog*.\n3. Change directory to the HealthFog repo folder.\n4. Run ```python3 -m pip install -r requirements.txt```.\n5. Run ```cd HeartModel \u0026\u0026 python3 MasterInterface.py```.\n6. Run Apache service from Xampp control panel.\n\nFollow these steps in master node:\n1. Update \u003ci\u003econfig.txt\u003c/i\u003e with IP addresses of all worker nodes (each in a new line) after the first line of 'EnableMaster DisableAneka'. \n2. If connected to cloud using VPN add cloud virtual IP, otherwise add public IP addresses in \u003ci\u003ecloud.txt\u003c/i\u003e (each in a new line).\n\nNow download and install \u003ci\u003eAndroid/FastHeartTest.apk\u003c/i\u003e in an android device and enter master IP address to begin healthcare analysis!\n\n## Developer\n\n[Shreshth Tuli](https://www.github.com/shreshthtuli) (shreshthtuli@gmail.com)\n\n## Cite this work\n```\n@article{tuli2020healthfog,\n  title={{HealthFog: An ensemble deep learning based Smart Healthcare System for Automatic Diagnosis of Heart Diseases in integrated IoT and fog computing environments}},\n  author={Tuli, Shreshth and Basumatary, Nipam and Gill, Sukhpal Singh and Kahani, Mohsen and Arya, Rajesh Chand and Wander, Gurpreet Singh and Buyya, Rajkumar},\n  journal={Future Generation Computer Systems},\n  volume={104},\n  pages={187--200},\n  year={2020},\n  publisher={Elsevier}\n}\n```\n\n## References\n* Shreshth Tuli, Redowan Mahmud, Shikhar Tuli, and Rajkumar Buyya, [FogBus: A Blockchain-based Lightweight Framework for Edge and Fog Computing.](http://buyya.com/papers/FogBus-JSS.pdf) Journal of Systems and Software (JSS), Volume 154, Pages: 22-36, ISSN: 0164-1212, Elsevier Press, Amsterdam, The Netherlands, August 2019.\n* **Shreshth Tuli, Nipam Basumatary, Sukhpal Singh Gill, Mohsen Kahani, Rajesh Chand Arya, Gurpreet Singh Wander, and Rajkumar Buyya, [HealthFog: An Ensemble Deep Learning based Smart Healthcare System for Automatic Diagnosis of Heart Diseases in Integrated IoT and Fog Computing Environments](http://buyya.com/papers/HealthFog.pdf), Future Generation Computer Systems (FGCS), Volume 104, Pages: 187-200, ISSN: 0167-739X, Elsevier Press, Amsterdam, The Netherlands, March 2020.**\n* Shreshth Tuli, Nipam Basumatary, and Rajkumar Buyya, [EdgeLens: Deep Learning based Object Detection in Integrated IoT, Fog and Cloud Computing Environments](http://buyya.com/papers/EdgeLensAnekaCloud2019.pdf), Proceedings of the 4th IEEE International Conference on Information Systems and Computer Networks (ISCON 2019, IEEE Press, USA), Mathura, India, November 21-22, 2019.\n\n[![](http://www.cloudbus.org/logo/cloudbuslogo-v5a.png)](http://cloudbus.org/)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcloudslab%2Fhealthfog","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fcloudslab%2Fhealthfog","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcloudslab%2Fhealthfog/lists"}