# rifle2115/administrative-delay-in-hospital-prediction architecture

> Architecture diagram of the GitHub repository rifle2115/administrative-delay-in-hospital-prediction, generated by GitDiagram from its file tree, README and a sample of source files (last updated 2026-06-21). It is an AI-made overview: check details against the source.

- Interactive diagram: https://gitdiagram.com/rifle2115/administrative-delay-in-hospital-prediction
- Repository: https://github.com/rifle2115/administrative-delay-in-hospital-prediction

## Overview

1. This repository is a very small, single-purpose Python project centered on a CSV dataset and two scripts. There is no evidence of a multi-service system, web app, or packaged library structure.

2. The core data asset is `COVID-19-Hospitals-Treatment-Plan.csv`. This is the only explicit persistent input in the repo, so the architecture is likely data-in / prediction-or-analysis-out.

3. `HospitalPred.py` appears to be the main domain logic module. Based on its name, it likely contains the hospital prediction workflow: loading the CSV, transforming fields, and generating some form of prediction or classification related to hospital treatment delay.

4. `project.py` is likely the orchestration or entry-point script. In a diagram, this should sit above the domain logic and coordinate the overall run: reading the dataset, invoking prediction logic, and presenting results.

5. The boundary between the two Python files is probably functional rather than architectural: one file holds the core prediction routines, while the other wraps them into a runnable project flow. There is no sign of a separate UI, API, or database layer.

6. Data flow is straightforward: CSV data enters the Python runtime, is processed by the scripts, and then results are emitted locally. The output is most likely console text, computed tables, or saved artifacts, rather than a networked service response.

7. The repository name suggests a healthcare analytics problem focused on administrative delay in hospitals, so the domain boundary is between raw hospital treatment-plan data and a derived prediction about delay or treatment outcome.

8. Since the repo contains only one dataset and two scripts, the architecture diagram should be drawn as a compact pipeline, not as a distributed system. The important boxes are: dataset, orchestration script, prediction logic, and local output.

9. There is no visible evidence of external infrastructure such as cloud storage, message queues, authentication, or third-party APIs. Any dependencies are likely standard Python data-science tooling used inside the scripts.

10. In short, this repo is best understood as a monolithic analytical application: a CSV-driven prediction workflow implemented in Python, with minimal separation between data ingestion, model/logic, and execution.

Main entry points: [`project.py`](https://github.com/rifle2115/administrative-delay-in-hospital-prediction/blob/main/project.py) (Project run), [`HospitalPred.py`](https://github.com/rifle2115/administrative-delay-in-hospital-prediction/blob/main/HospitalPred.py) (Prediction logic), [`COVID-19-Hospitals-Treatment-Plan.csv`](https://github.com/rifle2115/administrative-delay-in-hospital-prediction/blob/main/COVID-19-Hospitals-Treatment-Plan.csv) (Treatment data), [`README.md`](https://github.com/rifle2115/administrative-delay-in-hospital-prediction/blob/main/README.md) (Project notes)

## Diagram (Mermaid)

```mermaid
flowchart TD

subgraph group_data["Data"]
  node_csv["Treatment data<br/>dataset"]
end

subgraph group_app["Python workflow"]
  node_project["Project run<br/>orchestrator<br/>[project.py]"]
  node_hospitalpred["Prediction logic<br/>analysis module<br/>[HospitalPred.py]"]
  node_results["Local output<br/>reporting"]
end

node_readme["Project notes<br/>documentation<br/>[README.md]"]

node_csv -->|"input"| node_project
node_project -->|"invokes"| node_hospitalpred
node_hospitalpred -->|"emits"| node_results
node_project -.->|"prints"| node_results
node_readme -.->|"describes"| node_project

click node_csv "https://github.com/rifle2115/administrative-delay-in-hospital-prediction/blob/main/COVID-19-Hospitals-Treatment-Plan.csv"
click node_project "https://github.com/rifle2115/administrative-delay-in-hospital-prediction/blob/main/project.py"
click node_hospitalpred "https://github.com/rifle2115/administrative-delay-in-hospital-prediction/blob/main/HospitalPred.py"
click node_readme "https://github.com/rifle2115/administrative-delay-in-hospital-prediction/blob/main/README.md"

classDef toneNeutral fill:#f8fafc,stroke:#334155,stroke-width:1.5px,color:#0f172a
classDef toneBlue fill:#dbeafe,stroke:#2563eb,stroke-width:1.5px,color:#172554
classDef toneAmber fill:#fef3c7,stroke:#d97706,stroke-width:1.5px,color:#78350f
classDef toneMint fill:#dcfce7,stroke:#16a34a,stroke-width:1.5px,color:#14532d
classDef toneRose fill:#ffe4e6,stroke:#e11d48,stroke-width:1.5px,color:#881337
classDef toneIndigo fill:#e0e7ff,stroke:#4f46e5,stroke-width:1.5px,color:#312e81
classDef toneTeal fill:#ccfbf1,stroke:#0f766e,stroke-width:1.5px,color:#134e4a
class node_csv toneBlue
class node_project,node_hospitalpred,node_results toneAmber
class node_readme toneNeutral
```

## Components

### Data

Persistent input used by the workflow

- [Treatment data](https://github.com/rifle2115/administrative-delay-in-hospital-prediction/blob/main/COVID-19-Hospitals-Treatment-Plan.csv): dataset · Hospital treatment plan CSV used as the main input source · `COVID-19-Hospitals-Treatment-Plan.csv`

### Python workflow

Orchestration and prediction logic

- [Project run](https://github.com/rifle2115/administrative-delay-in-hospital-prediction/blob/main/project.py): orchestrator · Entry-point script that coordinates the end-to-end workflow · `project.py`
- [Prediction logic](https://github.com/rifle2115/administrative-delay-in-hospital-prediction/blob/main/HospitalPred.py): analysis module · Core hospital prediction and data-processing routines · `HospitalPred.py`
- **Local output**: reporting · Computed predictions, tables, or console output produced by the scripts

### Other components

- [Project notes](https://github.com/rifle2115/administrative-delay-in-hospital-prediction/blob/main/README.md): documentation · Repository description and usage notes · `README.md`

## Connections

- Treatment data → Project run: input · The dataset is read by the runnable project flow
- Project run → Prediction logic: invokes · The entry script calls into the prediction module
- Prediction logic → Local output: emits · Prediction logic produces local outputs
- Project run → Local output: prints · The orchestration script may present final results locally
- Project notes → Project run: describes · Documentation likely explains how to run the workflow