Sökning: "biomarkörer"
Visar resultat 21 - 25 av 115 uppsatser innehållade ordet biomarkörer.
21. Feature extraction with self-supervised learning on eye-tracking data from Parkinson’s patients and healthy individuals
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Eye-tracking is a method for monitoring and measuring eye movements. The technology has had a significant impact so far and new application areas are emerging. Today, the technology is used in the gaming industry, health industry, self-driving cars, and not least in medicine. LÄS MER
22. Analysis of Brain Signals from Patients with Parkinson’s Disease using Self-Supervised Learning
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Parkinson’s disease (PD) is one of the most common neurodegenerative brain disorders, commonly diagnosed and monitored via clinical examinations, which can be imprecise and lead to a delayed or inaccurate diagnosis. Therefore, recent research has focused on finding biomarkers by analyzing brain networks’ neural activity to find abnormalities associated with PD pathology. LÄS MER
23. Serglycin as a potential diagnostic biomarker for hemangiosarcoma in dogs
Uppsats för yrkesexamina på avancerad nivå, SLU/Dept. of Clinical SciencesSammanfattning : Hemangiosarcoma (HSA) is a common splenic malignant neoplasia in dogs, originating from the endothelium. The tumor has an aggressive character, and the clinical symptoms of HSA are mostly due to the secondary effects of the tumor such as tumor growth or rupture. The prognosis is poor for HSA, usually with a survival time of under one year. LÄS MER
24. Neonatal Sepsis Detection With Random Forest Classification for Heavily Imbalanced Data
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Neonatal sepsis is associated with most cases ofmortality in the neonatal intensive care unit. Major challengesin detecting sepsis using suitable biomarkers has lead people tolook for alternative approaches in the form of Machine Learningtechniques. LÄS MER
25. Primary stage Lung Cancer Prediction with Natural Language Processing-based Machine Learning
Master-uppsats, KTH/Skolan för kemi, bioteknologi och hälsa (CBH)Sammanfattning : Early detection reduces mortality in lung cancer, but it is also considered as a challenge for oncologists and for healthcare systems. In addition, screening modalities like CT-scans come with undesired effects, many suspected patients are wrongly diagnosed with lung cancer. LÄS MER