Apply Data Analytics Techniques on Autism dataset to discover hidden patterns that would be leveraged in decision making.
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Updated
Sep 23, 2018 - R
Apply Data Analytics Techniques on Autism dataset to discover hidden patterns that would be leveraged in decision making.
A data and statistics analysis on the institutions in charge of healthcare in Mexico.
Exploratory data analysis to see if there is any country, demonstrating more effective use of Healthcare cost to maintain its longevity than other countries.
Machine Learning studies at Brandeis University, with my best friends Ran Dou, Tianyi Zhou, Dan Mduduzi, Siyan Lin.
Statistical analysis of heart disease data project completed during my enrollment in the Data Science program through Thinkful.
Humana-Mays Healthcare Analytics 2020 Case Competition
📓 .Net library for OMOP CDM management
Identified factors that contribute to Healthcare Cost in the U.S.
This is the 2020 MMA Datathon project related to healthcare fraud detection analysis. Result: Top 5 Finalist
All of mine ML projects
Built panel regression model analyzing the variables effecting Healthcare-Expenses and Quality of 26 OECD countries from 2010-16.
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…
Epidemiology course materials on the basic principles from my Undergraduate Degree
A Spring Boot Application with a Thymeleaf Frontend. Java + Spring Boot framework. MVC and Data transfer Object Design Pattern DTOD), Using an open-source REST client - Spring REST template.
A project using Python's PyML library to predict whether an employee needs mental health treatment or not based on their background data acquired from their survey answers
Project to create models to predict ICU patient mortality based on demographic, diagnostic, and other factors utilizing Apache Spark.
Healthcare modelling using Python, Pandas and Dask
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