{"id":13829447,"url":"https://github.com/vkasojhaa/Clinical-Decision-Support-using-Machine-Learning","last_synced_at":"2025-07-09T09:33:10.919Z","repository":{"id":163492607,"uuid":"124667034","full_name":"vkasojhaa/Clinical-Decision-Support-using-Machine-Learning","owner":"vkasojhaa","description":" Predicting the Stage of Breast Cancer - M (Malignant) and B (Benign) using different Machine learning models and comparing their performance.","archived":false,"fork":false,"pushed_at":"2018-09-18T08:53:04.000Z","size":3651,"stargazers_count":12,"open_issues_count":0,"forks_count":9,"subscribers_count":1,"default_branch":"master","last_synced_at":"2024-08-04T10:01:25.697Z","etag":null,"topics":["binary-classification","breast-cancer","breast-cancer-prediction","machine-learning","manipal","manipal-institute","wisconsin"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/vkasojhaa.png","metadata":{"files":{"readme":"Readme.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null}},"created_at":"2018-03-10T15:11:18.000Z","updated_at":"2024-08-04T10:01:25.697Z","dependencies_parsed_at":null,"dependency_job_id":"d2739303-fac9-45a4-bb75-462a1c4513bd","html_url":"https://github.com/vkasojhaa/Clinical-Decision-Support-using-Machine-Learning","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/vkasojhaa%2FClinical-Decision-Support-using-Machine-Learning","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/vkasojhaa%2FClinical-Decision-Support-using-Machine-Learning/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/vkasojhaa%2FClinical-Decision-Support-using-Machine-Learning/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/vkasojhaa%2FClinical-Decision-Support-using-Machine-Learning/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/vkasojhaa","download_url":"https://codeload.github.com/vkasojhaa/Clinical-Decision-Support-using-Machine-Learning/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":225533015,"owners_count":17484179,"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":["binary-classification","breast-cancer","breast-cancer-prediction","machine-learning","manipal","manipal-institute","wisconsin"],"created_at":"2024-08-04T10:00:36.932Z","updated_at":"2024-11-20T10:30:42.203Z","avatar_url":"https://github.com/vkasojhaa.png","language":"Jupyter Notebook","funding_links":[],"categories":["Code"],"sub_categories":["Repositories"],"readme":"# Readme\n\nIn this project a, performance comparison between different machine learning algorithms: \u003ci\u003eLinear Regression, Random Forest, SVM, k-NN and Artificial Neural-Net \u003c/i\u003e on the \u003cb\u003eWisconsin Breast Cancer datasets\u003c/b\u003e is done. We have to predict the Stage of Breast Cancer - M (Malignant) and B (Bengin). The main objective is to assess the\ncorrectness in classifying data with respect to accuracy and efficiency of each algorithm.\u003cbr\u003e\n\n\u003cb\u003eJupyter Notebook : \u003c/b\u003e [Breast_Cancer_Prediction.ipynb)](/Breast_Cancer_Prediction.ipynb)\u003cbr\u003e\n\u003cb\u003eJupyter Notebook (ANN implementation): \u003c/b\u003e [Neural_Net_Breast_Cancer.ipynb)](/Neural_Net_Breast_Cancer.ipynb)\u003cbr\u003e\n\u003cp id=\"img_cont\"\u003e\n\t\u003cimg src=\"/screenshot/accuracy.png\"\u003e\n\t\u003cimg src=\"/screenshot/loss.png\"\u003e\n\u003c/p\u003e\u003c/br\u003e\n\n\u003ch2\u003e Results \u003c/h2\u003e\n\u003cimg src=\"/screenshot/results.png\" width = 70%\u003e\n\nThis work is a part of my Minor Project under Mr. Arvind Kumar Pal, Assistant Professor, Manipal University Jaipur \n\nIf you have any queries or suggestions you can mail me: vkasojhaa@gmail.com\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fvkasojhaa%2FClinical-Decision-Support-using-Machine-Learning","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fvkasojhaa%2FClinical-Decision-Support-using-Machine-Learning","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fvkasojhaa%2FClinical-Decision-Support-using-Machine-Learning/lists"}