Evidence map›Paper›PMID 42646544›Full record

ArticleNursing reports (Pavia, Italy)2026

Development and Validation of an Interpretable Machine Learning Model for Inpatient Fall Risk Using Electronic Health Record Data.

Siti Zubaidah Mordiffi, Xiujuan Guo, Mien Li Goh, Kee Yuan Ngiam, Neng Wei Wong, Jenny Chua, Mohammad Shaheryar Furqan, Han Shi Jocelyn Chew

Abstract read
In one paragraph

Article in Nursing reports (Pavia, Italy), 2026. 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

8 authors.

Siti Zubaidah MordiffiNursing Department, National University Hospital, National University Health System, Singapore 119074, Singapore.ORCID 0000-0002-3005-3088
Xiujuan GuoDivision of Biomedical Informatics, Department of Surgery, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119228, Singapore.
Mien Li GohNursing Department, National University Hospital, National University Health System, Singapore 119074, Singapore.
Kee Yuan NgiamDepartment of Surgery, National University Hospital, National University Health System, Singapore 119074, Singapore.ORCID 0000-0001-5676-2520
Neng Wei WongDepartment of Surgery, National University Hospital, National University Health System, Singapore 119074, Singapore.ORCID 0000-0003-0028-6128
Jenny ChuaDivision of Oncology Nursing, National University Cancer Institute Singapore, National University Health System, Singapore 119074, Singapore.ORCID 0009-0005-6688-7286
Mohammad Shaheryar FurqanDivision of Biomedical Informatics, Department of Surgery, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119228, Singapore.
Han Shi Jocelyn ChewAlice Lee Centre for Nursing Studies, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117599, Singapore.ORCID 0000-0002-4209-1647

Funding

National University of Singapore ALCNS/2020/001
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

adverse eventsartificial intelligencedecision treefall risk predictionfallsmachine learningsupport vector machine

Identifiers

PMID42646544
PMCPMC13516745

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.