Cristian Uță
Biographic Data
| ID | 8962553 |
|---|---|
| NAME | Cristian Uță |
| GIVEN NAMES | Cristian |
| FAMILY NAME | Uță |
| SIGNATURE | UȚĂ C |
| AFFILIATIONS | Spiru Haret University |
| ORCID | 0000-0003-4232-6263 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| 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 …
Big data management algorithms in artificial Internet of Things-based fintech
Research background: Fintech companies should optimize banking sector performance in assisting enterprise financing as a result of firm digitalization. Artificial IoT-based fintech-based digital transformation can relevantly reverse credit resource misdistribution brought about by corrupt relationship chains. Purpose of the article: We aim to show that fintech can decrease transaction expenses and consolidates firm stock liquidity, enabling exces…
No prominent works on this page.
Big data management algorithms in artificial Internet of Things-based fintech
Research background: Fintech companies should optimize banking sector performance in assisting enterprise financing as a result of firm digitalization. Artificial IoT-based fintech-based digital transformation can relevantly reverse credit resource misdistribution brought about by corrupt relationship chains. Purpose of the article: We aim to show that fintech can decrease transaction expenses and consolidates firm stock liquidity, enabling exces…
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 …
Computer Science (2 works) · Algorithm (1 works) · Artificial Intelligence (1 works) · Big data (1 works) · Business (1 works) · Business and Economic Development (1 works) · COVID-19 diagnosis using AI (1 works) · Data mining (1 works) · Database (1 works) · Database transaction (1 works)