There are 4 repositories under cancer-prediction topic.
Awesome artificial intelligence in cancer diagnostics and oncology
Machine learning techniques can be used to overcome these drawbacks which are cause due to the high dimensions of the data. So in this project I am using machine learning algorithms to predict the chances of getting cancer.
Tumor prediction from microarray data using 10 machine learning classifiers. Feature extraction from microarray data using various feature extraction algorithms.
As part of this project, I have used Machine Learning (classification) algorithms for classification of tumors in Human Breasts as Non-Cancerous/ Benign or Cancerous/ Malignant tumors.
Lung Cancer Prediction Model: Leverage the power of deep learning with this TensorFlow-based project. Trained on a dataset of lung X-Ray images, the model accurately predicts cancer cases. Easily integrate and utilize the model for early detection. #HealthTech #MachineLearning
TensorFlow/Keras examples and notes.
Prediction of Cancer Using Machine Learning Model
Cancer Prediction using ML in MATLAB/Octave
Breast Cancer Prediction using TensorFlow with 91% accuracy
This Python Project utilizes the Pandas and Matplotlib Libraries, also a PrettyTable Module and this research project aims to provide a comprehensive overview of cancer cases and rates in the various states of the United States using various graphs and visualizations to better understand the trends and patterns over the years.
Breast Cancer Detection using Machine Learning
Extreme gradient boosting algorithm (Xgboost)
This project consists of the analysis and use of Breast Cancer Wisconsin (Diagnostic) Data Set to predict the type of tumour in patients.
This project focuses on predicting breast cancer using machine learning models through cross-validation techniques. The dataset utilized in this study is the Breast Cancer Wisconsin (Diagnostic) dataset.
Breast Cancer Survival Prediction | Machine Learning Course Project, Fall 2022
Prediction of colorectal cancer (CRC) phenotype based on Microbiome Metagenomics
Empowering early cancer detection through advanced machine learning models. Our project focuses on predicting oral, cervical, and brain tumors using a blend of image and risk factor data. Join us in the journey to enhance healthcare outcomes through cutting-edge technology
This Website is basically detect Metastasis and Malignant Cancer.
Skin cancer prediction using input values for various parameters from Doctor
This project uses machine learning classifier algorithms to predict whether the patient is suffering from cancer or not.
A simple neural network that decides whether a given tumor is cancerous or benign based on five size, shape, and texture measurements.
This project provides the classification of DNA sequences for Breast cancer prediction which into promoter regions associated. Using machine learning and deep learning techniques, I analyze and try to predict sequence data for negative and positive answers in cancer prediction.
SVM_ML
The following repository consists of some Fundamental Data Science and Machine Learning Prediction Models created using available datasets from Github itself using Google Colab Notebook