Can we predict the progression of ckd using textual features and language models

This project focuses on predicting Chronic Kidney Disease (CKD) using neural networks. It involves comprehensive data preprocessing, exploratory data analysis, and model interpretability to provide a robust classification solution based on health records.

A machine learning project for predicting Chronic Kidney Disease (CKD) using clinical patient data. It involves data preprocessing, feature engineering, and training multiple classification models. The best model is selected based on performance for accurate early disease detection.

Trabalho de inteligência computacional em saúde para classificação de doença renal crônica (DRC) utilizando machine learning.

A Streamlit-based app that uses machine learning to predict Chronic Kidney Disease (CKD) from clinical and laboratory data. Users can enter essential or detailed patient information to get a prediction with confidence scores. Designed for educational and screening purposes only.