Log In Sign Up
Models:
Wanda Brown
WandaB/
Blood-Donation-Analysis
0
Downloads: 1
Card

Using Machine Learning to Analysis of Blood Donation

Which features impact high blood donation?

Blood_donation_img
* Blood donation is the only method to secure accessibility of blood products for patients in need of transfusion and accessibility is solely dependent on voluntary non-remunerated blood donors.
* Many countries' health authorities and blood centers are striving to have sufficient blood donations to secure a stable blood supply in the country or region.
* In this case study, we aimed to find features that could help improve blood donation performance in South Korea.
* The objective of this case study is as follows:
* Analyze the trend of blood donations in South Korea since 2005
* Identify which features have a significant impact on high blood donation
* Recommendations for blood centers to increase blood donation
* To identify important features, we built various machine-learning models from simple Logistic Regression to the XGBoosting Classifier model.
* Platforms used for this project
* Python: Pandas, Scikit-learn, Xgboost
* Visualization: Tableau, Seaborn

Project Outline

  1. Plan Stage: Data collection, Data dictionary, Pre-processing & Feature engineering
  2. Analyze Stage: Exploratory Data Analysis (EDA)
  3. Construct Stage: Prepare, Construct, and train & test models
  4. Execute Stage: Interpret model performance, conclusion (recommendation)

Note for this project

  • The data used for this project is entirely from public open data, extracted from KOSIS (Korean Statistical Information Service). No internal data was included.
  • This project was worked with Yoojin (Audrey) Jung, a data analyst, with a master's degree from the University of Illinois Urbana-Champaign (UIUC).
    • (Skills) Data Analytics, Visualization (Tableau), SQL, R, Python
    • (Contributions to this project) EDA (Processing & Visualization), Tableau, model design (logistic regression, decision tree)
    • (LinkedIn Profile) https://www.linkedin.com/in/yoojin-jung/

Citation

If you use (or refer to) this project in your research (study), please cite it as follows:
* Author: Hyunjin and Yoojin
* Title: Using Machine Learning to Analysis of Blood Donation
* Year: 2024
* Publisher: Hyunjin-Austin
* Journal: Blood-Donation-Analysis
* How published: https://github.com/Hyunjin-Austin/Blood-Donation-Analysis/

Thank you for citing our work!