Marko Kokol
YOU?
Author Swipe
View article: #383 BioEndoCar: identifying candidate biomarkers for diagnosis and prognosis of endometrial carcinoma using machine learning and artificial intelligence
#383 BioEndoCar: identifying candidate biomarkers for diagnosis and prognosis of endometrial carcinoma using machine learning and artificial intelligence Open
Introduction/Background Endometrial carcinoma (EC) is the most common gynaecological malignancy in the developed world. Currently, no valid non-invasive diagnostic or prognostic methods exist, making diagnosis and treatment rely on histopa…
View article: Decreased Gene Expression of Antiangiogenic Factors in Endometrial Cancer: qPCR Analysis and Machine Learning Modelling
Decreased Gene Expression of Antiangiogenic Factors in Endometrial Cancer: qPCR Analysis and Machine Learning Modelling Open
Endometrial cancer (EC) is an increasing health concern, with its growth driven by an angiogenic switch that occurs early in cancer development. Our study used publicly available datasets to examine the expression of angiogenesis-related g…
View article: Participatory Citizen Curation in the VAST Project Framework
Participatory Citizen Curation in the VAST Project Framework Open
In this paper, we present a participatory approach to citizen curation developed in the framework of the EU H2020 VAST (Values Across Space and Time) project. VAST focuses on the transformation of values across space and time, with particu…
View article: Lipoprotein(a) As a Risk Factor in a Cohort of Hospitalised Cardiovascular Patients: A Retrospective Clinical Routine Data Analysis
Lipoprotein(a) As a Risk Factor in a Cohort of Hospitalised Cardiovascular Patients: A Retrospective Clinical Routine Data Analysis Open
Introduction: Lipoprotein(a) (Lp(a)) is a well-recognised risk factor for ischemic heart disease (IHD) and calcific aortic valve stenosis (AVS). Methods: A retrospective observational study of Lp(a) levels (mg/dL) in patients hospitalised …
View article: Andronicus of Rhodes at SemEval-2023 Task 4: Transformer-Based Human Value Detection Using Four Different Neural Network Architectures
Andronicus of Rhodes at SemEval-2023 Task 4: Transformer-Based Human Value Detection Using Four Different Neural Network Architectures Open
This paper presents our participation to the "Human Value Detection shared task (Kiesel et al., 2023), as "Andronicus of Rhodes. We describe the approaches behind each entry in the official evaluation, along with the motivation behind each…
View article: Models including preoperative plasma levels of angiogenic factors, leptin and IL-8 as potential biomarkers of endometrial cancer
Models including preoperative plasma levels of angiogenic factors, leptin and IL-8 as potential biomarkers of endometrial cancer Open
Background The diversity of endometrial cancer (EC) dictates the need for precise early diagnosis and pre-operative stratification to select treatment options appropriately. Non-invasive biomarkers invaluably assist clinicians in managing …
View article: Lipoprotein(a) in Cardiovascular Diseases: Insight From a Bibliometric Study
Lipoprotein(a) in Cardiovascular Diseases: Insight From a Bibliometric Study Open
Lipoprotein(a) [Lp(a)] is a complex polymorphic lipoprotein comprised of a low-density lipoprotein particle with one molecule of apolipoprotein B100 and an additional apolipoprotein(a) connected through a disulfide bond. The serum concentr…
View article: Role of Agile in Digital Public Health Transformation
Role of Agile in Digital Public Health Transformation Open
The digitalisation of healthcare, fueled by advances in technology and the COVID-19 pandemic can not only empower equitable access to global expert-level healthcare but also make healthcare more patient-centric. Every digital health soluti…
View article: Machine learning on small size samples: A synthetic knowledge synthesis
Machine learning on small size samples: A synthetic knowledge synthesis Open
Machine Learning is an increasingly important technology dealing with the growing complexity of the digitalised world. Despite the fact, that we live in a ‘Big data’ world where, almost ‘everything’ is digitally stored, there are many real…
View article: The quality of digital health software: Should we be concerned?
The quality of digital health software: Should we be concerned? Open
The digitalization of healthcare fuelled by advances in technology and the increased prevalence of mobile smart devices and health-related internet of things can offer equitable access to expert-level healthcare globally. Growing demand fo…
View article: Software Development with Scrum: A Bibliometric Analysis and Profile
Software Development with Scrum: A Bibliometric Analysis and Profile Open
Introduction of the Scrum approach into software engineering has changed the way software is being developed. The Scrum approach emphasizes the active end-user involvement, embracing of change, and /iterative delivery of products. Our stud…
View article: Code smells: A Synthetic Narrative Review
Code smells: A Synthetic Narrative Review Open
Code smells are symptoms of poor design and implementation choices, which might hinder comprehension, increase code complexity and fault-proneness and decrease maintainability of software systems. The aim of our study was to perform a tria…
View article: Machine learning on small size samples: A synthetic knowledge synthesis
Machine learning on small size samples: A synthetic knowledge synthesis Open
One of the increasingly important technologies dealing with the growing complexity of the digitalization of almost all human activities is Artificial intelligence, more precisely machine learning Despite the fact, that we live in a Big dat…
View article: Code smells: A Synthetic Narrative Review
Code smells: A Synthetic Narrative Review Open
Code smells are symptoms of poor design and implementation choices, which might hinder comprehension, increase code complexity and fault-proneness and decrease maintainability of software systems. The aim of our study was to perform a tria…