gokhansatilmis / medical_data

Repo which includes the medical data sets used in a feature selection paper proposed by OASYS group

Medical_data

Goals ⚽

The aim of this repository is to provide some details of the medical data sets used in paper [1]. This article has been developed by some members of the OASYS group thanks to the funding of the project Flexanalytics. We suggest you visit the related links to know more our research 😉

How can I download the data? ⬇

Please, click at this link.

Summary 🧮📊📖

The following table summarizes the main characteristics of the databases, including the name, the number of individuals, the number of features, and the link where they have been downloaded:

Database	Number of individuals	Number of features	Source
breast	569	30	Link
colorectal	62	2000	Link
diabetes	768	8	Link
lymphoma	96	4026	Authors paper [2]

References 📚

[1] Jiménez-Cordero, A., Morales, J.M., & Pineda, S. (2020). A novel embedded min-max approach for feature selection in nonlinear Support Vector Machine classification. Submitted. Available at https://www.researchgate.net/publication/340826631_A_novel_embedded_min-max_approach_for_feature_selection_in_nonlinear_Support_Vector_Machine_classification

[2] Maldonado, S., Weber, R., & Basak, J. (2011). Simultaneous feature selection and classification using kernel-penalized support vector machines. Information Sciences, 181(1), 115-128.

[3] OASYS, Medical data, Github repository (https://github.com/groupoasys/Medical_data), 2020.

How to cite the repo and the paper? 📝

If you want to cite paper [1] or this repo [3], please use the following bib entry:

• Article:

@techreport{jimenez2020novel,
  author = {Jim\'enez-Cordero, Asunci\'on and Morales, Juan Miguel and Pineda, Salvador},
  title = {A novel embedded min-max approach for feature selection in nonlinear {S}upport {V}ector {M}achine classification},
  institution = {Universidad de M\'alaga},
  year = {2020},
  note = {Available at \url{https://www.researchgate.net/publication/340826631_A_novel_embedded_min-max_approach_for_feature_selection_in_nonlinear_Support_Vector_Machine_classification}}
}

• Repository:

@article{OASYS2020medical,
author = {OASYS},
journal = {GitHub repository (https://github.com/groupoasys/Medical{\_}data)},
title = {{Medical Data}},
url = {https://github.com/groupoasys/Medical{\_}data},
year = {2020}
}

Do you want to contribute? 🙋‍♀️🙋‍♂️

Please, do it 😋 Any feedback is welcome 🤗 so feel free to ask or comment anything you want via a Pull Request in this repo. If you need extra help, you can ask Asunción Jiménez-Cordero ([email protected]), Juan Miguel Morales ([email protected]) or Salvador Pineda ([email protected]).

Contributors 🌬☀

• OASYS group - [email protected]

Developed by 👩‍💻👨‍💻👨‍💻

• Asunción Jiménez Cordero - [email protected]
• Juan Miguel Morales - [email protected]
• Salvador Pineda - [email protected]

License 📝

Copyright 2020 Optimization and Analytics for Sustainable energY Systems (OASYS)

Licensed under the GNU General Public License, Version 3 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at

   http://www.gnu.org/licenses/gpl-3.0.en.html

Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.