Healthcare Analytics and Machine Learning: Dementia Prediction and Data Insights demonstrating data analysis, predictive modeling, and visualization techniques applied to healthcare data

Breast Cancer Survivorship Prediction

A PowerBI dashboard styled as an infographic. A 2023 case study of PCOS (Polycystic Ovary Syndrome) and it's symptoms.

A comprehensive Power BI project analysing healthcare industry data, exploring patient demographics, hospital performance, and payer-provider dynamics through interactive visualizations & made executive summary report that provide actionable insights for strategic decision-making.

I am using Python to perform exploratory data analysis (EDA) on a dataset. The results of the analysis are displayed in this Jupyter notebook

this Is my HealthCare Website under Hack-a-thon HackFest( Delhi/NCR) GEEKS FOR Geeks which is still in working .The system should continuously gather and analyze healthcare data while promoting healthy lifestyles and wellness practices.

Hello, and thank you for visiting my project on Python Data Analysis for Healthcare. As I learn to utilize Python programming and data analysis approaches to tackle real-world healthcare challenges, this repository tracks my experience as I become more proficient in these areas.

Estimated costs of intervening upon health-related social needs detected in primary care: a simulation study

Group project for the course BUDT704: Data Processing and Analysis using Python

Jupyter Notebook for Healthcare Analytics

The Surgery Outcome Prediction project leverages a BiLSTM model with 95 percent accuracy and Gradient Boosting at 82 percent accuracy. It’s deployed on Streamlit Cloud, providing real-time predictions and insights through an interactive web app.

Develop and apply time series models in mental health economic research

Conduct comprehensive healthcare data analysis to derive insights, improve patient outcomes, and optimize operational efficiency through advanced statistical methodologies and machine learning techniques. Delivering actionable intelligence for informed decision-making.

Project of Course SPH6004 Advanced Statistical Learning

Epidemiology course materials on the basic principles from my Undergraduate Degree

Heart Disease Analysis to explore, diagnose and highlight potential factors to predict the disease chance in future.

Diagnose the presence of skin cancer in a person using CNN and as well explain what led the CNN to arrive at the decision. Visual explanations are made utilizing the Gradient-weighted Class Activation Mapping (Grad-CAM), the gradients flowing into the final convolutional layer to produce a coarse localization map highlighting the important regio…

I created a responsive and dynamic dashboard with a summary page and a detailed page whcih shows key metrics such as average wait list for different age groups, monthly trends etc. For this project we used power BI to create the reports

MedCare is a healthcare management system designed to streamline and enhance the patient experience. It provides a platform for patients to easily schedule appointments, access their medical records, and communicate with healthcare providers.