Evidence map›Paper›PMID 30646089›Full record

ArticleJAMA network open2018

Machine Learning for Prediction in Electronic Health Data.

Sherri Rose

Abstract readComment
PubMed Publisher
In one paragraph

Article in JAMA network open, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

38 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Clinical evaluation of a machine learning-based dysphagia risk prediction tool.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2024
    Article
  6. Automated Family Histories Significantly Improve Risk Prediction in an EHR.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2024
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Fair admission risk prediction with proportional multicalibration.Proceedings of machine learning research · 2023
    Article
  13. KIT-LSTM: Knowledge-guided Time-aware LSTM for Continuous Clinical Risk Prediction.Proceedings. IEEE International Conference on Bioinformatics and Biomedicine · 2022
    Article
  14. Article
  15. Assessment of deep learning assistance for the pathological diagnosis of gastric cancer.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2022
    Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

1 author.

Sherri RoseDepartment of Health Care Policy, Harvard Medical School, Boston, Massachusetts.

Funding

Machine Learning for Health Outcomes and Quality of Care in Low-Income PopulationsDP2MD012722 · NIMHD · STANFORD UNIVERSITY · PI ROSE, SHERRI · 2017 to 2017
$2.5M
NIMHD NIH HHS DP2 MD012722
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Cognitive DysfunctionDeliriumElectronic Health RecordsHumansMachine Learning

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.