| Naslov: | Machine learning in primary health care : the research landscape |
|---|
| Avtorji: | ID Završnik, Jernej (Avtor) ID Kokol, Peter (Avtor) ID Žlahtič, Bojan (Avtor) ID Blažun Vošner, Helena (Avtor) |
| Datoteke: | healthcare-13-01629-v2_(1).pdf (887,18 KB) MD5: 4AAD80404EF7328FC1B9119AF481A473
|
|---|
| Jezik: | Angleški jezik |
|---|
| Vrsta gradiva: | Članek v reviji |
|---|
| Tipologija: | 1.02 - Pregledni znanstveni članek |
|---|
| Organizacija: | FERI - Fakulteta za elektrotehniko, računalništvo in informatiko
|
|---|
| Opis: | Background: Artificial intelligence and machine learning are playing crucial roles in digital transformation, aiming to improve the efficiency, effectiveness, equity, and responsiveness of primary health systems and their services. Method: Using synthetic knowledge synthesis and bibliometric and thematic analysis triangulation, we identified the most productive and prolific countries, institutions, funding sponsors, source titles, publications productivity trends, and principal research categories and themes. Results: The United States and the United Kingdom were the most productive countries; Plos One and BJM Open were the most prolific journals; and the National Institutes of Health, USA, and the National Natural Science Foundation of China were the most productive funding sponsors. The publication productivity trend is positive and exponential. The main themes are related to natural language processing in clinical decision-making, primary health care optimization focusing on early diagnosis and screening, improving health-based social determinants, and using chatbots to optimize communications with patients and between health professionals. Conclusions: The use of machine learning in primary health care aims to address the significant global burden of so-called “missed diagnostic opportunities” while minimizing possible adverse effects on patients. |
|---|
| Ključne besede: | primary health care, machine learning, research landscape, synthetic knowledge synthesis |
|---|
| Status publikacije: | Objavljeno |
|---|
| Verzija publikacije: | Objavljena publikacija |
|---|
| Poslano v recenzijo: | 15.05.2025 |
|---|
| Datum sprejetja članka: | 23.07.2025 |
|---|
| Datum objave: | 07.07.2025 |
|---|
| Leto izida: | 2025 |
|---|
| Št. strani: | 15 str. |
|---|
| Številčenje: | Vol. 13, iss. 13, [article no.] 1629 |
|---|
| PID: | 20.500.12556/DKUM-93873  |
|---|
| UDK: | 004:614 |
|---|
| COBISS.SI-ID: | 242829571  |
|---|
| DOI: | 10.3390/healthcare13131629  |
|---|
| ISSN pri članku: | 2227-9032 |
|---|
| Avtorske pravice: | © 2025 by the authors |
|---|
| Datum objave v DKUM: | 24.07.2025 |
|---|
| Število ogledov: | 200 |
|---|
| Število prenosov: | 8 |
|---|
| Metapodatki: |  |
|---|
| Področja: | Ostalo
|
|---|
|
:
|
Kopiraj citat |
|---|
| | | | Skupna ocena: | (0 glasov) |
|---|
| Vaša ocena: | Ocenjevanje je dovoljeno samo prijavljenim uporabnikom. |
|---|
| Objavi na: |  |
|---|
Postavite miškin kazalec na naslov za izpis povzetka. Klik na naslov izpiše
podrobnosti ali sproži prenos. |