openmedical/registry
← registry

nurse-scheduling

imported

software/nurse-scheduling

Find an optimal assignment for a group of nurses, under constraints of scheduling and personnel.

Machine-generated from the listed sources and not yet reviewed by a human.

nurse-scheduling project image
GitHub preview card for dwave-examples/nurse-scheduling. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Software & Systems
Subcategory
unknown
License
Apache-2.0(osi)
Status
active
Maturity
deployed
Organization
dwave-examples
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
bqm · constraint-satisfaction-problem · healthcare · hybrid-solution · intermediate · optimization
Regulatory
unknown
built by · 6

Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.

similar by tags

Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.

  • AI hospital surge digital twin for winter respiratory virus surge planning using Streamlit, SimPy, scikit-learn, and Plotly

  • A mathematical optimization problem, inspired by an apparent paradox in the physics of optical measurement. Read the micro-publication here:…

  • AI-TI-RADSoptimization

    AI TI-RADS system optimized using genetic algorithm

  • deepmodeloptimoptimization

    Stochastic Testing and Input Manipulation for Unbiased Learning Systems

  • healthGraphOptoptimization

    Allocation optimization of patients during covid pandemic using real data from Brazil 2020-2022 period.

  • macpan2optimization

    Tools for building and calibrating compartmental models of infectious disease.

sources
  1. api.github.com/repos/dwave-examples/nurse-scheduling
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2026-02-27, 57 stars, license reported as Apache-2.0. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/63.json→ .entries["nurse-scheduling"]

Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.