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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:.pdf 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 Novo okno
UDK:004:614
COBISS.SI-ID:242829571 Novo okno
DOI:10.3390/healthcare13131629 Novo okno
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:XML DC-XML DC-RDF
Področja:Ostalo
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Gradivo je del revije

Naslov:Healthcare
Skrajšan naslov:Healthcare
Založnik:MDPI AG
ISSN:2227-9032
COBISS.SI-ID:520110873 Novo okno

Licence

Licenca:CC BY 4.0, Creative Commons Priznanje avtorstva 4.0 Mednarodna
Povezava:http://creativecommons.org/licenses/by/4.0/deed.sl
Opis:To je standardna licenca Creative Commons, ki daje uporabnikom največ možnosti za nadaljnjo uporabo dela, pri čemer morajo navesti avtorja.

Sekundarni jezik

Jezik:Slovenski jezik
Ključne besede:primarno zdravstveno varstvo, strojno učenje, raziskovalna pokrajina, sintetična sinteza znanja


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