Akhila

Akhila

MSCS, UIUC

Posts by Collection

portfolio

Type II Diabetes Prediction Database

  • Communicated with technical and non-technical stakeholders to meet the functional specifications
  • Designed database in SQLite intended to allow patients and health providers to track the risk factors associated with type 2 diabetes
  • Programmed database to include patient lifestyle choices and provider visit information as per functional specifications

Data Mining Project

  • Worked with stakeholders on requirements, modeling, and implementation
  • Implemented algorithm in Python that discovered approximate determinations for any hypothetical data set

Use of Machine Learning and Deep Learning Models with Longitudinal EHR to Better Predict 10-year Stroke Risk

  • Github Repo
  • Designed a classification problem in collaboration with a 2-person student team and domain experts at the Department of Biomedical Informatics (DBMI), VUMC
  • Utilized and evaluated innovative machine learning algorithms from decision trees to neural networks in Python to classify outcomes and compare algorithm performance with traditional stroke risk prediction models; most balanced model produced an accuracy of 72.4% and a false negative rate of 59.0%
  • Analyzed technical problems surrounding algorithms to troubleshoot major technical issues and optimize machine learning models while testing the best hyperparameters

publications

talks

teaching

Teaching experience 1

Undergraduate course, University 1, Department, 2014

This is a description of a teaching experience. You can use markdown like any other post.

Teaching experience 2

Workshop, University 1, Department, 2015

This is a description of a teaching experience. You can use markdown like any other post.