Helena Blažun Vošner
Biographic Data
| ID | 6789570 |
|---|---|
| NAME | Helena Blažun Vošner |
| GIVEN NAMES | Helena Blažun |
| FAMILY NAME | Vošner |
| SIGNATURE | VOŠNER H B |
| AFFILIATIONS | Alma Mater Europaea |
| ORCID | 0000-0003-1998-7346 |
| VERIFIED | Yes |
| TOTAL WORKS | 9 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 9 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2016 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 0 |
The role of correspondence analysis in medical research
Correspondence analysis (CA) is a multivariate statistical and visualization technique. CA is extremely useful in analyzing either two- or multi-way contingency tables, representing some degree of correspondence between columns and rows. The CA results are visualized in easy-to-interpret “bi–plots,” where the proximity of items (values of categorical variables) represents the degree of association between presented items. In other words, items po…
Profiling of patients with type 2 diabetes based on medication adherence data
Introduction: Type 2 diabetes mellitus (T2DM) is a complex, chronic disease affecting multiple organs with varying symptoms and comorbidities. Profiling patients helps identify those with unfavorable disease progression, allowing for tailored therapy and addressing special needs. This study aims to uncover different T2DM profiles based on medication intake records and laboratory measurements, with a focus on how individuals with diabetes move thr…
Lipoprotein(a) in Cardiovascular Diseases
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 concentration is mostly genetically determined and only modestly influenced by diet and other lifestyle modifications. In recent years it has garnered increasing attention due to its causal role in pre-mature atheroscle…
Role of Agile in Digital Public Health Transformation
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 solution has one common fundamental component: they all run on computing platforms and are powered by complex software. Traditional software development life cycles have often failed in designing complex software; con…
Sleeping beauties in health informatics research
From Roots to Contemporary Nursing in Ex-Yugoslavian Countries
To analyze the development of contemporary nursing in Ex-Yugoslavia countries. A performance and spatial bibliometric analysis combined with synthetic knowledge synthesis were completed to profile the development of the nursing literature production, volume, and thematic content. The corpus was harvested from the Web of Science, limiting the search to the period 1991 to 2020. The search resulted in 1,380 papers. Slovenia was the most productive c…
Supporting Real World Decision Making in Coronary Diseases Using Machine Learning
Cardiovascular diseases are one of the leading global causes of death. Following the positive experiences with machine learning in medicine we performed a study in which we assessed how machine learning can support decision making regarding coronary artery diseases. While a plethora of studies reported high accuracy rates of machine learning algorithms (MLA) in medical applications, the majority of the studies used the cleansed medical data bases…
Do simultaneous inventions sleep? A case study on nursing sleeping papers
Creating a Self-Plagiarism Research Topic Typology through Bibliometric Visualisation
No prominent works on this page.
Creating a Self-Plagiarism Research Topic Typology through Bibliometric Visualisation
Do simultaneous inventions sleep? A case study on nursing sleeping papers
Supporting Real World Decision Making in Coronary Diseases Using Machine Learning
Cardiovascular diseases are one of the leading global causes of death. Following the positive experiences with machine learning in medicine we performed a study in which we assessed how machine learning can support decision making regarding coronary artery diseases. While a plethora of studies reported high accuracy rates of machine learning algorithms (MLA) in medical applications, the majority of the studies used the cleansed medical data bases…
Lipoprotein(a) in Cardiovascular Diseases
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 concentration is mostly genetically determined and only modestly influenced by diet and other lifestyle modifications. In recent years it has garnered increasing attention due to its causal role in pre-mature atheroscle…
Role of Agile in Digital Public Health Transformation
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 solution has one common fundamental component: they all run on computing platforms and are powered by complex software. Traditional software development life cycles have often failed in designing complex software; con…
Sleeping beauties in health informatics research
From Roots to Contemporary Nursing in Ex-Yugoslavian Countries
To analyze the development of contemporary nursing in Ex-Yugoslavia countries. A performance and spatial bibliometric analysis combined with synthetic knowledge synthesis were completed to profile the development of the nursing literature production, volume, and thematic content. The corpus was harvested from the Web of Science, limiting the search to the period 1991 to 2020. The search resulted in 1,380 papers. Slovenia was the most productive c…
Profiling of patients with type 2 diabetes based on medication adherence data
Introduction: Type 2 diabetes mellitus (T2DM) is a complex, chronic disease affecting multiple organs with varying symptoms and comorbidities. Profiling patients helps identify those with unfavorable disease progression, allowing for tailored therapy and addressing special needs. This study aims to uncover different T2DM profiles based on medication intake records and laboratory measurements, with a focus on how individuals with diabetes move thr…
The role of correspondence analysis in medical research
Correspondence analysis (CA) is a multivariate statistical and visualization technique. CA is extremely useful in analyzing either two- or multi-way contingency tables, representing some degree of correspondence between columns and rows. The CA results are visualized in easy-to-interpret “bi–plots,” where the proximity of items (values of categorical variables) represents the degree of association between presented items. In other words, items po…
Computer Science (6 works) · Medicine (4 works) · Artificial Intelligence (2 works) · Artificial Intelligence in Healthcare (2 works) · Artificial Intelligence in Healthcare and Education (2 works) · Bioinformatics (2 works) · Biology (2 works) · Data mining (2 works) · Data science (2 works) · Internal Medicine (2 works)