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EEG Psychiatric Disorders Dataset

Identifying Psychiatric Disorders Using Machine-Learning

@kaggle.shashwatwork_eeg_psychiatric_disorders_dataset

About this Dataset

EEG Psychiatric Disorders Dataset

Context

A psychiatric disorder is a mental illness diagnosed by a mental health professional that greatly disturbs your thinking, moods, and/or behavior and seriously increases your risk of disability, pain, death, or loss of freedom. In addition, your symptoms must be more severe than expected in response to an upsetting event, such as normal grief after the loss of a loved one.
A large number of psychiatric disorders have been identified. Chances are that, whether or not you or someone close to you has been diagnosed with a psychiatric disorder, you know something about one or more of the following examples:

  • Depression
  • Personality disorders
  • Anxiety disorders
  • Schizophrenia
  • Eating disorders
  • Addictive behaviors

Content

EEG Dataset with approx 1k attributes for identifying psychiatric disorders.

Acknowledgements

Park, S. M. (2021, August 16). EEG machine learning. Retrieved from osf.io/8bsvr
Please credit the original author if you want to use this dataset for your research
The Source of dataset is here

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