Tadej Završnik
Biographic Data
| ID | 7146519 |
|---|---|
| NAME | Tadej Završnik |
| GIVEN NAMES | Tadej |
| FAMILY NAME | Završnik |
| SIGNATURE | ZAVRŠNIK T |
| AFFILIATIONS | University of Maribor |
| VERIFIED | No |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 0 |
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…
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…
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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…
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…
Bioinformatics (2 works) · Biology (2 works) · Computer Science (2 works) · Internal Medicine (2 works) · Machine Learning in Healthcare (2 works) · Medicine (2 works) · Aortic Thrombus and Embolism (1 work) · Apolipoprotein B (1 work) · Artificial Intelligence (1 work) · Artificial Intelligence (1 work)