Katarína Frajtová Michalíková
Biographic Data
| ID | 6883373 |
|---|---|
| NAME | Katarína Frajtová Michalíková |
| GIVEN NAMES | Katarína Frajtová |
| FAMILY NAME | Michalíková |
| SIGNATURE | MICHALÍKOVÁ K F |
| AFFILIATIONS | University of Žilina |
| ORCID | 0000-0002-4550-6561 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 0 |
The economics of deep and machine learning-based algorithms for Covid-19 prediction, detection, and diagnosis shaping the organizational management of hospitals
Research background: Deep and machine learning-based algorithms can assist in COVID-19 image-based medical diagnosis and symptom tracing, optimize intensive care unit admission, and use clinical data to determine patient prioritization and mortality risk, being pivotal in qualitative care provision, reducing medical errors, and increasing patient survival rates, thus diminishing the massive healthcare system burden in relation to severe COVID-19 …
Quo Vadis, earnings management? Analysis of manipulation determinants in Central European environment
Research background: The paper investigates the earnings management phenomenon in the context of Central European countries, attempting to identify the factors and incentives that can influence earnings management behavior on a sample of 8,156 enterprises from Slovakia, the Czech Republic, Hungary, and Poland. Purpose of the article: The main purpose of the manuscript is to prove that there are significant differences in earnings management pract…
No prominent works on this page.
Quo Vadis, earnings management? Analysis of manipulation determinants in Central European environment
Research background: The paper investigates the earnings management phenomenon in the context of Central European countries, attempting to identify the factors and incentives that can influence earnings management behavior on a sample of 8,156 enterprises from Slovakia, the Czech Republic, Hungary, and Poland. Purpose of the article: The main purpose of the manuscript is to prove that there are significant differences in earnings management pract…
The economics of deep and machine learning-based algorithms for Covid-19 prediction, detection, and diagnosis shaping the organizational management of hospitals
Research background: Deep and machine learning-based algorithms can assist in COVID-19 image-based medical diagnosis and symptom tracing, optimize intensive care unit admission, and use clinical data to determine patient prioritization and mortality risk, being pivotal in qualitative care provision, reducing medical errors, and increasing patient survival rates, thus diminishing the massive healthcare system burden in relation to severe COVID-19 …
Economics (2 works) · Accounting (1 works) · Accrual (1 works) · Algorithm (1 works) · Artificial Intelligence (1 works) · Auditing, Earnings Management, Governance (1 works) · Business (1 works) · Computer Science (1 works) · COVID-19 diagnosis using AI (1 works) · Demographic economics (1 works)