The NHANES Data 'API' is a Python tool that simplifies access to the National Health and Nutrition Examination Survey (NHANES) dataset. This project provides an easy-to-use API to retrieve NHANES data, helping researchers, data scientists, health professionals, and other stakeholders access these valuable datasets.
Using machine learning models to predict if patients have chronic kidney disease based on a few features. The results of the models are also interpreted to make it more understandable to health practitioners.
My work on the Fundamental Principles in Data Science Master in Univeristat de Barcelona
This course equips professionals to apply data science in addressing public health and healthcare challenges. It covers data handling, statistical analysis, machine learning, epidemiology, and health informatics, with a focus on real-world applications. Graduates are prepared for impactful roles across the health sector.
Short information about this GitHub profile
This repository contains work that has been carried out when completing the VOICES project. Generally, it has supplementary material demonstrating the analysis used in various research projects within VOICES.
Study plan for learning Health Data Science(HDS)
Analysis and visualization of Blood Glucose Monitoring (BGM) data with Python.
Analysis and visualization of Continuous Glucose Monitoring (CGM) data with Python.
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