Welcome!#
Hello everyone and welcome to the documentation of the research project “Predicting psychotic disorder with machine learning” in the Neurocognitive Psychology lab at the Goethe University Frankfurt conducted within the psychology master.
Predicting psychotic disorder with machine learning#
This report contains different sections that are supposed to guide you through the whole research process.
You can use the following sections to navigate through the content of the book:
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What is psychotic disorder, how does the brain differ from the healthy, what is machine learning and how can it be used to predict psychotic disorder? Derivation of the research question.
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How to access the data, data description, monitoring the project
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Exploration of the data and first analyses
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Machine learning algorithms and their application to the data
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Discussion of the results and reflection on the project
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Tracking the progress of the project
Google presentation#
A presentation was created for this project in the summer semester 2022, with the inital ideas for this project. It can be accessed here.
I’ve got a question!#
In case you have any questions or difficulties regarding the content of this Jupyter Book, please don’t hesitate a single second to get in touch with me. A great way to do this is to open an issue on the GitHub. You can of course further contact me via E-mail (Mevluet.yaglu@psych.uni-frankfurt.de). Every feedback or idea you might have is highly appreciated and valued.
Acknowledgements#
I want to thank Peer Herholz for introducing us in the field of Computational Neuroscience with great lectures and materials and for being a great lecturer, Michael Ernst for being a great lecturer and his suppor and help all the time and Jack Taylor for his support and help on the project. I also want to thank the other members of the whole Neurocognitive Psychology lab.