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cas-502-los

For CAS 502, this repository is to host our files pertaining to the final project.

https://github.com/bllarso2/cas-502-los

Science Score: 44.0%

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    CITATION.cff file
    Found CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
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    .zenodo.json file
    Found .zenodo.json file
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    DOI references
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    Scientific vocabulary similarity
    Low similarity (13.0%) to scientific vocabulary
Last synced: 7 months ago · JSON representation ·

Repository

For CAS 502, this repository is to host our files pertaining to the final project.

Basic Info
  • Host: GitHub
  • Owner: bllarso2
  • License: mit
  • Language: Jupyter Notebook
  • Default Branch: main
  • Size: 1.47 MB
Statistics
  • Stars: 0
  • Watchers: 2
  • Forks: 0
  • Open Issues: 4
  • Releases: 2
Created about 1 year ago · Last pushed about 1 year ago
Metadata Files
Readme License Citation

README.md

CAS-502-LOS

For CAS 502, this repository is to host our files pertaining to the final project: predicting hospital length of stay. Team members: Brad Larson and Dave Cooper

In the healthcare industry forecasting errors in length-of-stay (LOS) can lead to significant revenue losses. Overestimating or underestimating LOS affects staffing, resource allocation, and patient flow, while also increasing the risk of penalties, poor patient outcomes, and lost market opportunities. Healthcare organizations require more accurate and data-driven models to improve their LOS predictions and optimize operational efficiency.

Our project aims to enhance LOS forecasting by incorporating additional factors, such as lifestyle choices (e.g., diet, exercise, tobacco, and alcohol use). By leveraging both computational models and agent-based modeling (ABM), we intend to build an interactive dashboard that allows users to adjust lifestyle variables and observe their impact on LOS predictions.

Basic Features: To address the problem, we propose the following core functionalities: David Cooper: Develop a computational regression model to predict LOS using hospital-provided data. Brad Larson: Integrate lifestyle factors into an agent-based model (ABM) to simulate their impact on LOS predictions. Build an interactive dashboard where users can adjust lifestyle factors and observe their effect on LOS estimates.

Nice-to-Have Features If time allows, we will incorporate additional functionalities, including: Advanced Computational Models: Enhancing predictive accuracy using machine learning techniques beyond basic regression. Agent-Based Simulation: Implementing an ABM to dynamically simulate different patient populations and interactions. Revenue Projection Model: Estimating financial impact based on predicted LOS ranges over 6 months, 1 year, 5 years, and 10 years. Comparative Analysis: Benchmarking LOS predictions against other hospitals (local, regional, national). Web-Based Dashboard: Making our model accessible via a web-based interface for real-time interaction.

How to Report Bugs and Feature Requests

Bug Reports

If looking to report bugs please reach out to project owners via email - bllarso2@asu.edu or dave@verge.coach.

When reporting a bug please include as many details as possible such as: - A clear and descriptive title. - Steps to reproduce the issue. - Expected vs. actual behavior. - Screenshots or error logs, if applicable. - Your operating system and environment details.

Feature Requests:

Feature Requests: If you have an idea for a new feature or an enhancement, please:

Describe the feature and the problem it solves. Explain how you see it working. Provide any additional context or examples that can help us understand the request. Please submit all issues via the Issues Tab Link on GitHub.

Owner

  • Login: bllarso2
  • Kind: user

Citation (CITATION.cff) 

cff-version: 1.2.0
message: "If you use this software, please cite it as described below."
title: "CAS-502-LOS"
version: "v1.1"
doi: "10.5281/zenodo.14957191"
date-released: 2025-03-02
license: "MIT"
url: "https://github.com/bllarso2/CAS-502-LOS"
repository-code: "https://github.com/bllarso2/CAS-502-LOS"
authors:
  - family-names: "Cooper"
    given-names: "David"
  - family-names: "Larson"
    given-names: "Bradley"
keywords:
  - "Streamlit"
  - "LOS"
  - "Hospital"
  - "Machine Learning"

GitHub Events

Total
  • Create event: 4
  • Release event: 3
  • Issues event: 4
  • Member event: 2
  • Push event: 101
  • Gollum event: 2
Last Year
  • Create event: 4
  • Release event: 3
  • Issues event: 4
  • Member event: 2
  • Push event: 101
  • Gollum event: 2

Issues and Pull Requests

Last synced: 7 months ago

All Time
  • Total issues: 4
  • Total pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Total issue authors: 2
  • Total pull request authors: 0
  • Average comments per issue: 0.0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 4
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 2
  • Pull request authors: 0
  • Average comments per issue: 0.0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
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Top Authors
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  • bllarso2 (3)
  • dcooper155 (1)
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