MindWave is an open-source project designed for beginners to learn about data science, machine learning, deep learning, and reinforcement learning algorithms using Python. The project offers a platform for implementing relevant algorithms, with open-source tools and libraries.
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Breast Cancer Diagnosis using K-Nearest Neighbors (KNN) #647
Is your feature request related to a problem? Please describe.
Lack of an accurate and reliable tool for breast cancer diagnosis hampers healthcare professionals in making informed decisions. There is an urgent need for a machine learning model that can predict the benign or malignant nature of breast tumors using features extracted from medical images or patient data.
Describe the solution you'd like
I propose developing a machine learning model based on the K-nearest neighbors (KNN) algorithm for breast cancer diagnosis. The model will accurately classify breast tumors as benign or malignant by leveraging similarities to previously diagnosed cases. The dataset will include essential features like tumor size, shape, texture, and patient age.
This project aims to address the gap in breast cancer diagnosis, providing healthcare professionals with a reliable tool to aid in early detection and treatment decisions. By utilizing the KNN algorithm and considering similarities to prior cases, the model will deliver accurate predictions based on extracted features from medical images or patient data.
Describe alternatives you've considered
No response
Additional context
No response
Code of Conduct
[X] I agree to follow this project's Code of Conduct
Is your feature request related to a problem? Please describe.
Lack of an accurate and reliable tool for breast cancer diagnosis hampers healthcare professionals in making informed decisions. There is an urgent need for a machine learning model that can predict the benign or malignant nature of breast tumors using features extracted from medical images or patient data.
Describe the solution you'd like
I propose developing a machine learning model based on the K-nearest neighbors (KNN) algorithm for breast cancer diagnosis. The model will accurately classify breast tumors as benign or malignant by leveraging similarities to previously diagnosed cases. The dataset will include essential features like tumor size, shape, texture, and patient age.
This project aims to address the gap in breast cancer diagnosis, providing healthcare professionals with a reliable tool to aid in early detection and treatment decisions. By utilizing the KNN algorithm and considering similarities to prior cases, the model will deliver accurate predictions based on extracted features from medical images or patient data.
Describe alternatives you've considered
No response
Additional context
No response
Code of Conduct