This project focuses on data preprocessing and epilepsy seizure prediction using the CHB-MIT EEG dataset. It includes steps like data cleansing, feature extraction, and handling imbalanced datasets, aimed at improving the accuracy of seizure prediction.

A curated dataset of Indian medicines, organized by brand. Essential for healthcare research and pharmaceutical analysis.

Heart disease is still a major worldwide health concern since it is one of the leading causes of mortality and morbidity in India. Early and precise diagnosis of heart disease can save lives and reduce medical costs. Conventional diagnostic methods, however, are often expensive and need specific equipment and expertise.

Hospital database system built with Oracle APEX and SQL, featuring an interactive dashboard for real-time insights into patient distribution and doctor availability. Designed to optimize resource management and support hospital administration in data-driven decision-making.

Healthcare Analysis Report using Tableau: * This report compares the diabetic and non-diabetic patients, with 34.90% being diabetic. * It summarizes the patient's blood pressure, including a count for elevated, high, low, and normal BP patients. * The report also presents the BMI distribution and BMI by Age group for the patients.

Healthcare Claims Data Analytics to undercover care utilization of beneficiaries with cardiovascular or/and cancer condition

This repository contain projects completed during my graduate study in Data Science & Analytics at the J. Mack Robinson College of Business, Georgia State University. I worked as part of a team of 4 or 6 members and we equally contributed in completing tasks and preparing final documentations (code file, report & PowerPoint presentation).

Исследование влияния характеристик клиентов страховой компании на размер страховых выплат

A project focused on exploratory data analysis (EDA) for predicting survival in cirrhosis patients. This analysis utilizes various statistical methods and visualizations to identify key factors affecting survival rates, providing insights to improve predictive modeling in healthcare.

Predict how long patient is going to stay in hospital as per severity of illness

Welcome to my repository! It contains my progress and projects, application of Data Science in the field of Healthcare.

A comprehensive ML analysis of the NHANES 2005-2006 dataset, utilizing various preprocessing techniques and classifiers to uncover health insights

Análisis predictivo de trasplante de médula ósea en pacientes pediátricos utilizando modelos de regresión logística y random forest. Incluye análisis y visualizaciones de datos clínicos para predecir la recaída post-trasplante.

This project aims to predict the likelihood of a heart attack based on various health indicators using machine learning techniques. The dataset used contains patient data with features such as age, cholesterol levels, blood pressure, and more.