Term Project on LIDC (Lung Cancer CT Scan) dataset

This project aims to predict lung cancer using Multiple Linear Regression and Logistic Regression algorithms. By analyzing various factors, such as patient demographics, lifestyle habits, and medical history, the algorithms predict the likelihood of a patient developing lung cancer.

Coming soon! The power of deep learning at your fingertips. Stay tuned!

To score DICOM files regardless of the Kaggle data

Virtual medical assistant for lung cancer detection using Machine Learning algorithm- Random Forest classifier.

Machine learning for non small cell lung cancer nodal staging from PETCT molecular imaging

An early onset lung cancer prediction and monitoring software focusing on the development of a multi-platform solution via web-based and mobile application based environments

Performed survival analysis Veteran's Administration Lung Cancer Trial, where 137 patients with advanced, inoperable lung cancer were treated with chemotherapy (standard treatment) vs chemotherapy combined with a new drug (test treatment)

This is a ML Based Project which helps in determining lung cancer and diabetes risk to individuals in a very user friendly interface

Lung Cancer Detection using CT Scans.

Custom Efficient Neural Network For Histopathological Lung Cancer Classification

This is a WebApp, which detects lung diseases with integrated stripe payment processing.

lung cancer prediction using naive bayes but without using in build function. This paper presents a novel predictive model employing Naive Bayes classification, trained on comprehensive patient data encompassing 23 attributes like Alcohol use, Smoking, Coughing of Blood, and shortness of breath etc. Our model demonstrates significant promise

Lung Nodules Detection using Deep Learning

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

This project focuses on the prediction of lung cancer using multiple machine learning models and comparing their performances. The dataset used for this project consists of various features related to lung cancer, which were preprocessed, normalized, and then used for training different classifiers.

This is the final project of the ML-Ops Dicoding class. This project serves to predict whether a person has lung cancer or not.