Evidence map›Paper›PMID 37480282›Full record

ArticleMedical decision making : an international journal of the Society for Medical Decision Making

Constrained Optimization for Decision Making in Health Care Using Python: A Tutorial.

K H Benjamin Leung, Nasrin Yousefi, Timothy C Y Chan, Ahmed M Bayoumi

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Medical decision making : an international journal of the Society for Medical Decision Making. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

K H Benjamin LeungDepartment of Mechanical and Industrial Engineering, University of Toronto, Toronto, ON, Canada.ORCID 0000-0001-9972-3433
Nasrin YousefiSmith School of Business, Queen's University, Kingston, ON, Canada.
Timothy C Y ChanDepartment of Mechanical and Industrial Engineering, University of Toronto, Toronto, ON, Canada.
Ahmed M BayoumiMAP Centre for Urban Health Solutions, St. Michael's Hospital, Unity Health Toronto, Toronto, ON, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

highlightsThis tutorial provides a user-friendly guide to mathematically formulating constrained optimization problems and implementing them using Python.Two examples are presented to illustrate how constrained optimization is used in health applications, with accompanying Python code provided.

Indexed as

Decision MakingDelivery of Health CareHumansconstrained optimizationprescriptive analyticsPython tutorialresource allocation

Identifiers

PMID37480282
PMCPMC10625722

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.