Achieving accurate estimates of fetal gestational age and personalised predictions of fetal growth based on data from an international prospective cohort study: a population-based machine learning study
- Submitting institution
-
University of Oxford
- Unit of assessment
- 1 - Clinical Medicine
- Output identifier
- 13372
- Type
- D - Journal article
- DOI
-
10.1016/S2589-7500(20)30131-X
- Title of journal
- Lancet Digital Health
- Article number
- -
- First page
- e368
- Volume
- 2
- Issue
- 7
- ISSN
- 1556-5068
- Open access status
- Compliant
- Month of publication
- June
- Year of publication
- 2020
- URL
-
-
- Supplementary information
-
https://www.thelancet.com/cms/10.1016/S2589-7500(20)30131-X/attachment/2f8b03b0-b99b-4a40-8e2a-270afec2838d/mmc1.pdf
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
49
- Research group(s)
-
-
- Citation count
- 1
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- -
- Author contribution statement
- The author made a substantial contribution to the conception and design of the study. The author helped draft the output.
- Non-English
- No
- English abstract
- -
