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Journal Photo for Healthcare
Peer reviewed only Open Access

Healthcare (Healthcare)

Publisher : MDPI
medicine health care research Health assessment
Claim Your Journal Get PRC Visit Website
e-ISSN 2227-9032
Issue Frequency Quarterly
Impact Factor 2.4
Est. Year 2013
Mobile 41616837734
DOI YES
Country Switzerland
Language English
APC YES
Impact Factor Assignee Google Scholar
Email healthcare@mdpi.com, jr-healthcare@mdpi.com

Journal Descriptions

Healthcare (ISSN 2227-9032) is an international, peer-reviewed, open access journal (free for readers), which publishes original theoretical and empirical work in the interdisciplinary area of all aspects of medicine and health care research. Healthcare publishes Original Research Articles, Reviews, Case Reports, Research Notes and Short Communications. We encourage researchers to publish their experimental and theoretical results in as much detail as possible. For theoretical papers, full details of proofs must be provided so that the results can be checked; for experimental papers, full experimental details must be provided so that the results can be reproduced. Additionally, electronic files or software regarding the full details of the calculations, experimental procedure, etc., can be deposited along with the publication as “Supplementary Material”.

Healthcare (Healthcare) is :-

  • International, Peer-Reviewed, Open Access, Refereed, medicine, health care research, Health assessment, Disease prevention, Diagnosis, Health policy, Nursing, Health Information Management , Online , Quarterly Journal

  • UGC Approved, ISSN Approved: P-ISSN E-ISSN: 2227-9032, Established: 2013, Impact Factor: 2.4
  • Provides Crossref DOI

  • Indexed in: Scopus, WoS, PubMed

  • Not indexed in DOAJ, UGC CARE

Indexing

Publications of Healthcare

Ensemble Learning for Disease Prediction: A Review
Mohammad Ali Moni June, 2023
Machine learning models are used to create and enhance various disease prediction frameworks. Ensemble learning is a machine learning technique that combines multiple classifiers to improve ...
Adverse Effects of COVID-19 Vaccination: Machine Learning and Statistical Approach to Identify and Classify Incidences of Morbidity and Postvaccinatio...
Mohammad Ali Moni December, 2022
Good vaccine safety and reliability are essential for successfully countering infectious disease spread. A small but significant number of adverse reactions to COVID-19 vaccines have been re...
Adverse Effects of COVID-19 Vaccination: Machine Learning and Statistical Approach to Identify and Classify Incidences of Morbidity and Postvaccinatio...
Mohammad Ali Moni December, 2022
Good vaccine safety and reliability are essential for successfully countering infectious disease spread. A small but significant number of adverse reactions to COVID-19 vaccines have been re...