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The Lancet Digital Health (LDH)

Publisher :

Elsevier

Scopus Profile
Peer reviewed only
Scopus Profile
Open Access
  • Health Informatics
  • Medicine
  • Decision Sciences

    • +2

e-ISSN :

2589-7500

Issue Frequency :

Monthly

Est. Year :

2019

Mobile :

4401425462736

Country :

United Kingdom

Language :

English

APC :

YES

Impact Factor Assignee :

Google Scholar

Email :

r.sarkar@lancet.com

Journal Descriptions

The Lancet Digital Health publishes important, innovative, and practice-changing research on any topic connected with digital technology in clinical medicine, public health, and global health. We serve the digital health, clinical, and wider health communities by promoting high-quality science and supporting the ethical use of technologies and data in practice. The journal’s open access content crosses subject boundaries, building bridges between health professionals and researchers. By bringing together the most important advances in this multidisciplinary field, The Lancet Digital Health is the most prominent publishing venue in digital health. We publish a range of content types including Articles, Review, Comment, and Correspondence, contributing to promoting digital technologies in health practice worldwide. Learn more about the types of papers we publish.


The Lancet Digital Health (LDH) is :

International, Peer-Reviewed, Open Access, Refereed, Health Informatics, Medicine, Decision Sciences, Health Professions, Health Information Management , Online Monthly Journal

UGC Approved, ISSN Approved: P-ISSN , E-ISSN - 2589-7500, Established in - 2019, Impact Factor

Not Provide Crossref DOI

Indexed in Scopus, WoS, DOAJ

Not indexed in PubMed, UGC CARE

Indexing

Scopus Profile
Scopus
Scopus Profile
WoS
Scopus Profile
DOAJ

+3 More

Publications of LDH

  • dott image October, 2019

Development and validation of multivariable prediction models of remission, recovery, and quality of life outcomes in people with first episode psycho...

Background Outcomes for people with first-episode psychosis are highly heterogeneous. Few reliable validated methods are available to predict the outcome for individual patients in the firs...

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