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Articles 1 - 4 of 4
Full-Text Articles in Medicine and Health Sciences
Cov-Inception: Covid-19 Detection Tool Using Chest X-Ray, Aswini Thota, Ololade Awodipe, Rashmi Patel
Cov-Inception: Covid-19 Detection Tool Using Chest X-Ray, Aswini Thota, Ololade Awodipe, Rashmi Patel
SMU Data Science Review
Since the pandemic started, researchers have been trying to find a way to detect COVID-19 which is a cost-effective, fast, and reliable way to keep the economy viable and running. This research details how chest X-ray radiography can be utilized to detect the infection. This can be for implementation in Airports, Schools, and places of business. Currently, Chest imaging is not a first-line test for COVID-19 due to low diagnostic accuracy and confounding with other viral pneumonia. Different pre-trained algorithms were fine-tuned and applied to the images to train the model and the best model obtained was fine-tuned InceptionV3 model …
Scai Shock Stage Classification: What Is Missing From The Latest Update?, Biykem Bozkurt
Scai Shock Stage Classification: What Is Missing From The Latest Update?, Biykem Bozkurt
Journal of Shock and Hemodynamics
The revised Society for Cardiovascular Angiography and Interventions classifications reflect graduation of severity within each stage and pathway by which patients progress or recover. However, they are limited regarding the following: their predictive role to guide therapy; escalation of therapy or referral; variability in diagnostic criteria and interpretation; presence of other disease modifiers and confounders; variability of etiology and reversibility of cause; response to therapy and trajectory to be taken into risk stratification; magnitude and phenotypes of end-organ damage. Thus, we need a modified risk score to predict the necessity to escalate therapy and consider advanced therapies, such as mechanical …
Detection Of Correct Pregnancy Status In Lactating Dairy Cattle Using Mars Data Mining Algorithm, Demet Çanga, Mustafa Boğa
Detection Of Correct Pregnancy Status In Lactating Dairy Cattle Using Mars Data Mining Algorithm, Demet Çanga, Mustafa Boğa
Turkish Journal of Veterinary & Animal Sciences
In this study, it is aimed to determine pregnancy outcomes by using multivariate adaptive regression splines (MARS) algorithm for classification type problems. For this purpose, data obtained from a private dairy farm in the Konya region of Türkiye in 2020 were used to determine pregnancy outcomes in Holstein dairy cattle. It has been determined how to perform statistical analyses on solving classification-type problems with the MARS algorithm and how to use R packages (caret and earth) by creating an R script file. After the analysis, the MARS estimation equation was created and in finding the probability of being pregnant: While …
Using Electrooculography With Visual Stimulus Tracking Test In Diagnosing Of Adhd: Findings From Machine Learning Algorithms, Fatma Lati̇foğlu, Mustafa Yasi̇n Esas, Rami̇s İleri̇, Sevgi̇ Özmen, Esra Demi̇rci̇
Using Electrooculography With Visual Stimulus Tracking Test In Diagnosing Of Adhd: Findings From Machine Learning Algorithms, Fatma Lati̇foğlu, Mustafa Yasi̇n Esas, Rami̇s İleri̇, Sevgi̇ Özmen, Esra Demi̇rci̇
Turkish Journal of Medical Sciences
Background/aim: Attention deficit hyperactivity disorder (ADHD), one of the most common neurodevelopmental disorders in childhood, is diagnosed clinically by assessing the symptoms of inattention, hyperactivity, and impulsivity. Also, there are limited objective assessment tools to support the diagnosis. Thus, in this study, a new electrooculography (EOG) based on visual stimulus tracking to support the diagnosis of ADHD was proposed. Materials and methods: Reference stimulus one-to-one tracking numbers (RSOT) and colour game detection (CGD) were applied to 53 medication-free children with ADHD and 36 healthy controls (HCs). Also, the test was applied six months after the treatment to children with ADHD. …