Evidence map›Paper›PMID 39559781›Full record

ArticleIEEE open journal of engineering in medicine and biology2024

A Reinforcement Learning Model for Optimal Treatment Strategies in Intensive Care: Assessment of the Role of Cardiorespiratory Features.

Cristian Drudi, Maximiliano Mollura, Li-Wei H Lehman, Riccardo Barbieri

Abstract read
In one paragraph

Article in IEEE open journal of engineering in medicine and biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Review
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

4 authors.

Cristian DrudiDepartment of Electronics, Informatics and EngineeringPolitecnico di Milano 20133 Milano Italy.ORCID https://orcid.org/0009-0000-1733-8823
Maximiliano MolluraDepartment of Electronics, Informatics and EngineeringPolitecnico di Milano 20133 Milano Italy.ORCID https://orcid.org/0000-0002-2248-8145
Li-Wei H LehmanInstitute for Medical Engineering and ScienceMassachusetts Institute of Technology Cambridge MA 02139 USA.ORCID https://orcid.org/0000-0002-3782-9977
Riccardo BarbieriDepartment of Electronics, Informatics and EngineeringPolitecnico di Milano 20133 Milano Italy.ORCID https://orcid.org/0000-0001-9381-3833

Funding

Research Resource for Complex Physiologic SignalsR01EB030362 · NIBIB · BETH ISRAEL DEACONESS MEDICAL CENTER · PI GOLDBERGER, ARY LOUIS · 2020 to 2025
$5.8M
Critical Care Informatics: Ethical considerations around the use and sharing of health-related dataR01EB017205 · NIBIB · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI CELI, LEO ANTHONY G, MARK, ROGER GREENWOOD · 2014 to 2021
$3.8M
NIBIB NIH HHS R01 EB017205NIBIB NIH HHS R01 EB030362
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Cardiovascular systemdimensionality reductionintensive care unitreinforcement learningsepsis

Identifiers

PMID39559781
PMCPMC11573419

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.