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

Cancer Prediction using ML in MATLAB/Octave

TensorFlow/Keras examples and notes.

Breast Cancer Prediction using TensorFlow with 91% accuracy

This repository houses a workflow that uses biological feature trees to segregate cancer RNA-seq datasets, then it trains machine learning models to predict the presence or absence of known, cancer-associated DNA-level mutations.

Breast Cancer Survival Prediction | Machine Learning Course Project, Fall 2022

Extreme gradient boosting algorithm (Xgboost)

This Website is basically detect Metastasis and Malignant Cancer.

Skin cancer prediction using input values for various parameters from Doctor

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.

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 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.

SVM_ML

This project uses machine learning classifier algorithms to predict whether the patient is suffering from cancer or not.