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A robust model that flags duplicate records and identifies related patterns

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HealthIT-Kabarak/EID-VL-Duplicate-Records-Identifying-Model

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EID-VL-system-hackthon

To develop a classification model that identifies potentially duplicated records and related patterns from the EID / VL system.

1.1: Devs Name:

  1. Fredrick kilonzo - kilonzokioko10@gmail.com
  2. Deborah Kyalo - debbzkan@gmail.com
  3. Wesley Okemwa - okemwawes@gmail.com

1.1: Problem statement

Some persons receiving HIV EID / VL services have been noted to visit different facilities using different names, ID’s and aliases. There is therefore need to identify such duplicated records and the related patterns in order to stem the practice.

1.2: Model

To develop a classification model that identifies potentially duplicated records and related patterns from the EID / VL system.

1.3 Installation

1.3.0: Clone the project:

https://github.com/HealthIT-Kabarak/EID-VL-Duplicate-Records-Identifying-Model.git

1.3.1: Installation of miniconda3 to local machine

1.3.1.1: For windows:

https://repo.anaconda.com/miniconda/Miniconda3-latest-Windows-x86_64.exe

1.3.1.1: For linux:

bash Miniconda3-latest-Linux-x86_64.sh

Installing of necessary libraries

 conda install required libraries 

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