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An early prediction and diagnosis of sepsis in intensive care units: An unsupervised machine learning model
(Mugla University, 2020)
Sepsis infection, which is one of the most important causes of death in intensive care units, is seen as a severe global health crisis. If an early diagnosis of sepsis infection cannot be made, and treatment is not started ...
Lemmatizer: Akıllı Türkçe kök bulma yöntemi
(International Balkan University, 2020)
Yakın zamanda Türkçe doğal dil işleme alanında çeşitli çalışmalar yapılmıştır. Bu çalışmalar, üretilen akıllı bir sistemin Türkçe soru cevaplama, yazıyı başka bir dile çevirme, yazıyı özetleme,e-postalara otomatik yanıt ...
Sürdürülebilir ekonomik kalkınma bağlamında havayolu sektörüne yönelik etkin yatırım stratejilerinin belirlenmesi
(Gaziantep Üniversitesi, 2022)
Bu çalışmanın amacı sürdürülebilir ekonomik kalkınma bağlamında havayolu sektörüne yönelik müşteri memnuniyeti bazlı yatırım stratejilerinin belirlenmesidir. Bu amaca yönelik olarak, havacılık sektöründe müşterilerin ...
Doğal gaz tüketiminin modellenmesi: Türkiye için MARS yöntemiyle bir analiz
(Gaziantep Üniversitesi Sosyal Bilimler Enstitüsü, 2022)
Bu çalışmada Türkiye’deki doğal gaz talebinin tahmin edilmesine yönelik model ortaya konması amaçlanmaktadır. Doğal gaz tüketimi bağımlı değişken olarak ele alınmış, buna bağlı olarak makroekonomik veriler, iklim koşulları, ...
Differentiating gastrointestinal stromal tumors from leiomyomas using a neural network trained on endoscopic ultrasonography images
(Karger, 2022)
Background: Endoscopic ultrasonography (EUS) is crucial to diagnose and evaluate gastrointestinal mesenchymal tumors (GIMTs). However, EUS-guided biopsy does not always differentiate gastrointestinal stromal tumors (GISTs) ...
Insights into mobile health application market via a content analysis of marketplace data with machine learning
(Public Library of Science, 2021)
Background Despite the benefits offered by an abundance of health applications promoted on app marketplaces (e.g., Google Play Store), the wide adoption of mobile health and e-health apps is yet to come. Objective This ...
How to engage consumers through effective social media use-guidelines for consumer goods companies from an emerging market
(Universidad de Talca, 2021)
This study aims to establish actionable guidelines and provide strategic insights as a means of increasing the social media effectiveness of consumer brands. Post-related factors in addition to the contextual and temporal ...
A machine learning approach to predict creatine kinase test results
(Ital Publication, 2020)
Most of the research done in the literature are based on statistical approaches and used for deriving reference limits based on lab results. As more data are available to the researchers, ML methods are more effectively ...
Diagnosis of Covid-19 via patient breath data using artificial intelligence
(Ital Publication, 2023)
Using machine learning algorithms for the rapid diagnosis and detection of the COVID-19 pandemic and isolating the patients from crowded environments are very important to controlling the epidemic. This study aims to develop ...
Discovering the chemical factors behind regional royal jelly differences via machine learning
(Bursa Uludag University, 2023)
This study aims to discover the characteristic chemical factors for determining the region of royal jelly using machine learning. 84 samples from 13 different regions of Turkey were used for the study, and the chemical ...