Easylearn is designed for machine learning mainly in resting-state fMRI, radiomics and other fields (such as EEG). Easylearn is built on top of scikit-learn, pytorch and other packages. Easylearn can assist doctors and researchers who have limited coding experience to easily realize machine learning, e.g., (MR/CT/PET/EEG)imaging-marker- or other biomarker-based disease diagnosis and prediction, treatment response prediction, disease subtyping, dimensional decoding for transdiagnostic psychiatric diseases or other diseases, disease mechanism exploration and etc.

We focus on machine learning rather than data preprocessing. Many software, such as SPM, GRETNA, DPABI, REST, RESTPlus, CCS, FSL, Freesufer, nipy, nipype, nibabel, fmriprep and etc, can be used for data preprocessing.

If you think this software (or some function) is useful, citing the easylearn software in your paper or code would be greatly appreciated! Citing link: https://github.com/easylearn-fmri/easylearn

pip install -U eslearn

import eslearn as el
el.run()

The follows will be automatically install if you use "pip install -U easylearn" command

• sklearn
• numpy
• pandas
• python-dateutil
• pytz
• scikit-learn
• scipy
• six
• nibabel
• imbalanced-learn
• skrebate
• matplotlib

At present, the project is in the development stage. We hope you can join us!
Any contributions you make will be appreciated and announced.
Please refer to developer link for details.

Email: lichao19870617@gmail.com
Wechat: 13591648206

kexu@vip.sina.com  
Brain Function Research Section, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, PR China.  
Department of Radiology, The First Affiliated Hospital of China Medical University.

lichao19870617@gmail.com
Brain Function Research Section, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, PR China.  

dongmengshi1990@163.com  
Department of Radiology, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, PR China.   

yanqingtang@163.com  
1 Brain Function Research Section, The First Affiliated Hospital of China Medical
University, Shenyang, Liaoning, PR China.  
2 Department of Psychiatry, The First Affiliated Hospital of China Medical University,
Shenyang, Liaoning, PR China.        

yong.he@bnu.edu.cn  
1 National Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, China  
2 Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing 100875, China  
3 IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China 

Contributors will first add to the contributors_list.md. Once your contribution is important or more than or equal to 1/4 of the total code, we will add you as a maintainer.

Contributors will first add to the contributors_list.md. Once your contribution is important or more than or equal to 1/4 of the total code, we will add you as a maintainer.

The current contributors are in contributors_list.md. Once your contribution is important or more than or equal to 1/4 of the total code, we will add you as a maintainer.

The current team members are in current_team_members.md. If you contributed your code, please add yourself to the contributor list.

If the program runs successfully, some results file will be generated under the working directory, as follows:

• Add evaluation method in the model_evaluation module for multiple-class classification
• Add user-defined cross-validation in the model_evaluation module.
• Add Decision Curve Analysis plot in the model_evaluation module.