Pinned Loading

1. subgroups subgroups Public

   subgroups is a python library which contains a collection of subgroup discovery algorithms and other data analysis utilities.

   Python 16 4

2. A-methodology-based-on-Trace-based-clustering-for-patient-phenotyping A-methodology-based-on-Trace-based-clustering-for-patient-phenotyping Public

   This repository contains all the resources used for the development of the paper "A methodology based on Trace-based clustering for patient phenotyping".

   Jupyter Notebook 4

3. pyTBC pyTBC Public

   pyTBC is a python library which implements Trace-based clustering technique.

   Python 2

4. An implementation of the Hopkins sta... An implementation of the Hopkins statistic.

   1

   # -*- coding: utf-8 -*-

   2

   3

   # Author:

   4

   #    Antonio López Martínez-Carrasco <antoniolopezmc1995@gmail.com>

   5

5. Paper: "A methodology based on Trace... Paper: "A methodology based on Trace-based clustering for patient phenotyping". Dataset. Second subquery.

   1

   /*

   2

   ***********************************************************************************************************

   3

   * All code and resources of this research are available at:                                               *

   4

   * https://github.com/antoniolopezmc/A-methodology-based-on-Trace-based-clustering-for-patient-phenotyping *

   5

   ***********************************************************************************************************

6. Paper: "A methodology based on Trace... Paper: "A methodology based on Trace-based clustering for patient phenotyping". Dataset. First subquery.

   1

   /*

   2

   ***********************************************************************************************************

   3

   * All code and resources of this research are available at:                                               *

   4

   * https://github.com/antoniolopezmc/A-methodology-based-on-Trace-based-clustering-for-patient-phenotyping *

   5

   ***********************************************************************************************************