Evidence map›Paper›PMID 39484461›Full record

ArticlebioRxiv : the preprint server for biology2024

Kenneth Ge, Phuc Nguyen, Ramy Arnaout

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Kenneth GeDepartment of Pathology at Beth Israel Deaconess Medical Center (BIDMC), and is a student at Carnegie Mellon University.ORCID 0009-0000-5044-4433
Phuc NguyenDepartment of Pathology at BIDMC, Boston, MA 02215.ORCID 0000-0001-9993-8434
Ramy ArnaoutDepartment of Pathology and the Division of Clinical Informatics, Department of Medicine, BIDMC and with Harvard Medical School, Boston, MA 02215.ORCID 0000-0001-6955-9310

Funding

Toward efficient performance for deep learning on medical imagingR01HL150394 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Rima Arnaout · 2020 to 2026
$6.2M
An Integrated Multilevel Modeling Framework for Repertoire-Based DiagnosticsR01AI148747 · NIAID · BETH ISRAEL DEACONESS MEDICAL CENTER · PI ARNAOUT, RAMY · 2020 to 2024
$2.8M
NHLBI NIH HHS R01 HL150394NIAID NIH HHS R01 AI148747
6 · The paper itself

Abstract

The University of California-Irvine (UCI) Machine Learning (ML) Repository (UCIMLR) is consistently cited as one of the most popular dataset repositories, hosting hundreds of high-impact datasets. However, a significant portion, including 28.4% of the top 250, cannot be imported via the

Indexed as

artificial intelligencedata sciencemachine learningPython

Identifiers

PMID39484461
PMCPMC11526970

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.