comment from the editor to the special issue: “big data and precision medicine series i: lung cancer early diagnosis”

Clicks: 293
ID: 197751
2018
Free PDF
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Steady

Ranked #40 of 83 articles by views in international journal of occupational medicine and environmental health

Most read Least read

Bar heights use a square-root scale.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Sign in to mint
Abstract
With this Editorial we want to present the Special Issue “Big Data and Precision Medicine Series I: Lung Cancer Early Diagnosis” to the scientific community, which aims to gather experts on the early detection of lung cancer in order to implement common efforts in the fight against cancer.
Reference Key
gasparri2018journalcomment Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Roberto Gasparri, Giulia Sedda, Lorenzo Spaggiari
Are you one of these authors? Claim your profile
Journal international journal of occupational medicine and environmental health
Year 2018
DOI
10.3390/jcm7020028
URL
http://www.mdpi.com/2077-0383/7/2/28
Keywords
lung cancer big data

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.