Analyzing Lung Cancer Data for Machine Learning

Machine Learning Models for Housing Prices Forecasting using Registration Data

This article has been compiled to identify the best model of housing price forecasting using machine learning methods with maximum accuracy and minimum error. Five important machine learning algorithms are used to predict housing prices, including Nearest Neighbor Regression Algorithm (KNNR), Support Vector Regression Algorithm (SVR), Random Forest Regression Algorithm (RFR), Extreme Gradient B...

Analyzing the performance of different machine learning methods in determining the transportation mode using trajectory data

With the widespread advent of the smart phones equipping with Global Positioning System (GPS), a huge volume of users’ trajectory data was generated. To facilitate urban management and present appropriate services to users, studying these data was raised as a widespread research filed and has been developing since then. In this research, the transportation mode of users’ trajectories was identi...

Diagnosing Breast Cancer by Machine Learning

Background and Aim: Cancer and in particular Breast cancer are among the diseases that have the highest mortality rate in Iran after heart disease. The accurate prognosis for Breast cancer is important, and the presence of various symptoms and features of this disease makes it difficult for doctors to diagnose. This study aimed to identify the factors affecting Breast cancer, modeling and ultim...

Machine Learning for Analyzing Human Brain Function

Microarray Data Integration and Machine Learning Techniques For Lung Cancer Survival Prediction

The advent of high-throughput technologies such as gene microarrays and protein chips are currently revolutionizing biology and medicine. Machine learning techniques play a pivotal role in analyzing the generated data. Recent studies have reported on the successful application of supervised machine learning approaches to prediction of cancer subclasses, treatment outcome, and drug response. Nov...