?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=Exploration+of+Parkinson%E2%80%99s+disease+recognition+space+by+artificial+neural+networks&rft.creator=Rojo+Vicente%2C+Mario&rft.contributor=D%C3%ADaz+P%C3%A9rez%2C+Francisco&rft.subject=Computer+Science&rft.subject=Medicine&rft.description=This+paper+focuses+on+the+objective+a+Machine+Learning+model+to+classify+the+advancement+of+Parkinson%C2%B4s+Disease+on+a+patient+given+some+audio+recordings+and+general+information%2C+such+as+age+and+gender.+For+this+we+will+utilize+a+dataset+extracted+from+synapse+to+train+the+several+proposed+models+and+finally+extract+conclusions+on+the+outcomes.+This+project+focuses+on+the+implementation+of+CNN+models+based+of+the+VGG-16+architecture.+The+results+ranges+from+a+30%25+accuracy+to+around+a+60%25+on+all+three+datasets+(train%2C+validation+and+test)+depending+on+the+model+and+its+hyper+parameters%2C+as+well+as+the+processes+applied+on+the+data.+In+conclusion+the+project+was+lacking+more+instances+of+reliable+data+but+shows+the+possibilities+of+implementing+such+models+on+bigger+datasets+with+rather+significant+results.+The+final+results+of+this+paper+allow+us+to+define+rules+and+procedures+to+be+implemented+in+similar+future+projects.&rft.publisher=E.T.S.I+de+Sistemas+Inform%C3%83%C2%A1ticos+(UPM)&rft.rights=https%3A%2F%2Fcreativecommons.org%2Flicenses%2Fby-nc-nd%2F3.0%2Fes%2F&rft.date=2022-06&rft.type=info%3Aeu-repo%2Fsemantics%2FbachelorThesis&rft.type=Final+Project&rft.type=PeerReviewed&rft.format=application%2Fpdf&rft.language=eng&rft.rights=info%3Aeu-repo%2Fsemantics%2FrestrictedAccess&rft.identifier=https%3A%2F%2Foa.upm.es%2F71151%2F