1.1 NACSCOP-data-collection-tools-classification:

1.1.0: Devs Name:

1. THALMA THANDIE - sthalma@kabarak.ac.ke
2. BRIAN KIMUTAI - bkimutai@kabarak.ac.ke
3. BRANDSON KIPKURUI - kbrandson@kabarak.ac.ke
4. MUSHINDI RACHEL - mushindi@kabarak.ac.ke
5. EPHRAIM BLESSING MWEREZA - emwereza@kabarak.ac.ke

A model that advices on the indicator based on historical data values, facility characteristics, changes in the indicator, etc in making a choice on the indicator to use

1.2 NACSCOP Data Collection Tools - Indicator Selection Model:

Welcome to the NACSCOP Data Collection Tools - Indicator Selection Model! This project aims to provide an objective approach to select the appropriate indicator for data collection and reporting, during the transition period of two sets of tools being in use.

1.3 The objective of this project is to develop a classification model:

Advises on the indicator to use, devoid of human bias, based on historical data values, facility characteristics, changes in the indicator, and other pertinent factors.

1.4 With this model:

NACSCOP will be able to make informed decisions on what indicator to use, ensuring accurate and consistent data collection and reporting. The model will help NACSCOP select the most appropriate indicator for each facility, based on the unique characteristics of each facility, and changes in the data over time.

1.5 Getting Started:

To get started with this project, you will need to clone the repository and install the necessary dependencies. The code is written in Python, using various libraries such as NumPy, Pandas, and Scikit-learn.

1.5.1 Installation:

Git Clone

  https://github.com/HealthIT-Kabarak/NACSCOP-data-collection-tools-classification.git

Deploymeny:

   https://healthit.streamlit.app/

1.6 The repository contains the following files:

1.6.1 demo.py:

• this is the main file containing the code for the classification model.

1.6.2 model.pkl:

• the packaged model i a pckle file

1.7 Contributing:

• We welcome contributions to this project! If you would like to contribute, please fork the repository and make your changes. Once you have made your changes, submit a pull request, and we will review your changes.

1.8 Conclusion:

• The NACSCOP Data Collection Tools - Indicator Selection Model is an important project that will help ensure accurate and consistent data collection and reporting during the transition period. We are excited to work on this project, and we hope it will be a valuable tool for NACSCOP and other organizations.