MARC ayrıntıları
| 000 -BAŞLIK |
|---|
| Sabit Uzunluktaki Kontrol Alanı |
02820nam a22003017a 4500 |
| 003 - KONTROL NUMARASI KİMLİĞİ |
|---|
| Kontrol Alanı |
KOHA |
| 005 - EN SON İŞLEM TARİHİ ve ZAMANI |
|---|
| Kontrol Alanı |
20230713105946.0 |
| 008 - SABİT UZUNLUKTAKİ VERİ ÖGELERİ - GENEL BİLGİ |
|---|
| Sabit Alan |
230713d2023 cy ||||| m||| 00| 0 eng d |
| 040 ## - KATALOGLAMA KAYNAĞI |
|---|
| Özgün Kataloglama Kurumu |
CY-NiCIU |
| Kataloglama Dili |
eng |
| Çeviri Kurumu |
CY-NiCIU |
| Açıklama Kuralları |
rda |
| 041 ## - DİL KODU |
|---|
| Metin ya da ses kaydının dil kodu |
eng |
| 090 ## - Yerel Tasnif No |
|---|
| tasnif no |
YL 2931 |
| Cutter no |
A48 2023 |
| 100 1# - KİŞİ ADI |
|---|
| Yazar Adı (Kişi adı) |
Agunta, Wisdom Chigozie |
| 245 10 - ESER ADI BİLDİRİMİ |
|---|
| Başlık |
DEEP LEARNING APPROACH USING CNN MODELS TOWARDS EFFECTUAL TREATMENT OF PARKINSON DISEASE / |
| Sorumluluk Bildirimi |
WISDOM CHIGOZIE AGUNTA SUPERVISOR ASSOC. PROF. DR. HÜSEYIN ÖZTOPRAK |
| 264 ## - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
|---|
| Date of production, publication, distribution, manufacture, or copyright notice |
2023 |
| 300 ## - FİZİKSEL TANIMLAMA |
|---|
| Sayfa, Cilt vb. |
xiii, 65 sheets; |
| Boyutları |
31 cm. |
| Birlikteki Materyal |
Includes CD |
| 336 ## - CONTENT TYPE |
|---|
| Source |
rdacontent |
| Content type term |
text |
| Content type code |
txt |
| 337 ## - MEDIA TYPE |
|---|
| Source |
rdamedia |
| Media type term |
unmediated |
| Media type code |
n |
| 338 ## - CARRIER TYPE |
|---|
| Source |
rdacarrier |
| Carrier type term |
volume |
| Carrier type code |
nc |
| 502 ## - TEZ NOTU |
|---|
| Tez Notu |
Thesis (MSc) - Cyprus International University. Institute of Graduate Studies and Research Information Technologies Department |
| 504 ## - BİBLİYOGRAFİ NOTU |
|---|
| Bibliyografi Notu |
Includes bibliography (sheets 60-65) |
| 520 ## - ÖZET NOTU |
|---|
| Özet notu |
ABSTRACT<br/>This thesis proposal aims to explore the potential of utilizing convolutional neural <br/>network, in particular, deep learning techniques (CNN) models, to improve the <br/>efficacy of treatment options for individuals diagnosed with Parkinson's Disease (PD). <br/>The proposed research will focus on developing and evaluating advanced CNN models <br/>that can accurately predict the progression of PD and assist in the selection of <br/>personalized treatment options. A comprehensive dataset of imaging and clinical data <br/>from individuals with PD will be collected and used to train and evaluate the <br/>performance of the proposed CNN models. The proposed research will also investigate <br/>the incorporation of state-of-the-art CNN architectures such as MobileNet_v2 to <br/>enhance the capabilities of the models in accurately predicting PD progression. <br/>Accuracy, precision, recall, and F1 score will be used to objectively assess the models' <br/>performance. The results will then be studied to ascertain whether CNN models have <br/>the potential to enhance PD treatment options. The results of this investigation will <br/>have important ramifications for the development of more accurate and personalized <br/>treatment options for PD and will contribute to the ongoing efforts to improve the <br/>management and treatment of this debilitating disorder. <br/>Keywords: Clinical data, CNN models, Deep learning, Development, Effectual, <br/>Imaging data, Implications, Management, MobileNet, MobileNet_v2, Ongoing <br/>efforts, Personalized medicine, Personalized treatment, Parkinson's disease, <br/>Progression prediction, Treatment. |
| 650 #0 - KONU BAŞLIĞI EK GİRİŞ - KONU TERİMİ |
|---|
| Konusal terim veya coğrafi ad |
Deep learning (Machine learning) |
| Alt başlık biçimi |
Dissertations, Academic |
| 650 #0 - KONU BAŞLIĞI EK GİRİŞ - KONU TERİMİ |
|---|
| Konusal terim veya coğrafi ad |
Precision medicine |
| Alt başlık biçimi |
Dissertations, Academic |
| 650 #0 - KONU BAŞLIĞI EK GİRİŞ - KONU TERİMİ |
|---|
| Konusal terim veya coğrafi ad |
Therapeutics |
| Alt başlık biçimi |
Dissertations, Academic |
| 650 #0 - KONU BAŞLIĞI EK GİRİŞ - KONU TERİMİ |
|---|
| Konusal terim veya coğrafi ad |
Parkinson's disease |
| Alt başlık biçimi |
Dissertations, Academic |
| 700 1# - EK GİRİŞ - KİŞİ ADI |
|---|
| Yazar Adı (Kişi adı) |
Öztoprak, Hüseyin |
| İlişkili Terim |
supervisor |
| 942 ## - EK GİRİŞ ÖGELERİ (KOHA) |
|---|
| Sınıflama Kaynağı |
Dewey Onlu Sınıflama Sistemi |
| Materyal Türü |
Thesis |