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Your certificate is now private
![CertificateBackground.png](https://static.wixstatic.com/media/55f531_d6679d5b06e14c81ae07bacb53692d5f~mv2.png/v1/fill/w_714,h_536,al_c,q_90,usm_0.66_1.00_0.01,enc_auto/CertificateBackground.png)
Certificate of Completion
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THIS ACKNOWLEDGES THAT
HAS COMPLETED THE FALL 2023 DATA SCIENCE BOOT CAMP
Clark Butler
Roman Holowinsky, PhD
DECEMBER 07, 2023
DIRECTOR
DATE
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TEAM
DDTs: Dementia Detection Tool
Himanshu Khanchandani, Clark Butler, Cisil Karaguzel, Selman Ipek, Shreya Shukla
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Alzheimer’s disease (AD) is one of the most common types of dementia and frequently affects the elderly. Electroencephalography (EEG) is a non-invasive technique to measure the brain activity using external electrodes and may help provide improved diagnosis of AD. In this project we use power spectrum of EEG to build a robust machine learning classifier which predicts whether a patient has Alzheimer's or is healthy. We vastly improve upon existing models in the literature by using modified features compared to the ones used in literature.
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