GRAPH-BASED DIAGNOSTIC PATHWAY SIMPLIFICATION USING PARTIAL K-COLORING

Abstract

The diagnostic process for complex diseases often involves multiple tests, making it difficult to manage and interpret large volumes of medical data. Partial ^--coloring offers a novel method to streamline diagnostic pathways by simplifying the graph structure of diagnostic steps. Each test or diagnostic procedure is represented as a vertex in the graph, with edges indicating dependencies or relationships between these steps. Partial ^'-coloring then assigns colors to vertices, reducing the number of tests or steps needed while preserving the accuracy of the diagnostic process. This method improves the clarity of diagnostic pathways, helping healthcare professionals l^entify critical tests and eliminate redundancies. Il is particularly valuable for diseases where rapid and accurate diagnosis is essential, such as in genetic disorder sor’ rare "coriditions.- By— - — =- — minimizing unnecessary steps, partial ^-coloring not only reduces the time to diagnosis but also lowers healthcare costs and improves patient outcomes. This graph-based approach simplifies decision-making in complex medical diagnoses, offering a powerful tool for healthcare systems and supporting more efficient diagnostic processes in clinical practice.

Specification

THE FIELD OF INVENTION (MEDICAL)
This invention employs partial k-coloring to streamline diagnostic pathways, reducing redundant tests while preserving diagnostic accuracy, improving healthcare efficiency, and
patient outcomes.
BACKGROUND OF THE INVENTION
Accurate diagnosis of complex diseases often requires multiple tests, which can lead to unnecessary steps, delays, and increased costs. Current diagnostic methods lack efficiency in simplifying test pathways, particularly for complex medical conditions where rapid diagnosis is essential. This invention provides a novel solution by applying partial k-coloring to simplify diagnostic pathways. Each diagnostic step is modeled as a vertex, with edges indicating dependencies. The partial k-coloring method reduces redundant tests by highlighting critical diagnostic steps and eliminating unnecessary ones. The innovation lies in its ability to streamline the diagnostic process while maintaining accuracy, ensuring faster diagnoses and improved patient care. This method is particularly useful in diagnosing complex diseases where time-sensitive decisions are crucial. By optimizing the sequence of diagnostic tests, partial k-coloring contributes to more efficient healthcare delivery, reducing costs and improving outcomes for patients. This novel approach represents a significant improvement over traditional diagnostic procedures, offering clarity and efficiency in medical decision­
making.
SUMMARY OF THE INVENTION
This invention applies partial k-coloring to streamline diagnostic pathways, reducing redundant tests while maintaining diagnostic accuracy and efficiency.

Partial k-Coloring Method: This invention employs partial k-coloring to simplify diagnostic pathways in complex medical conditions. By representing diagnostic steps as vertices, this technique improves efficiency and clarity. 2. Reduction of Redundant Tests: The method highlights critical tests while eliminating unnecessary ones, streamlining the diagnostic process and reducing costs for healthcare
systems.
3. Enhanced Diagnostic Accuracy: By preserving important dependencies, partial k-' ' - " 'c'ororlng'ensuies -Llidl diagnostic-nccuracy. lg. maintAineri^faciliLuling^fastcr and_more
reliable diagnoses.
4. Utility in Complex Diseases: This approach is particularly useful for diagnosing complex diseases, where timely and accurate information is essential for effective
treatment.
5. Integration with Clinical Workflows: The successful application of this method relies on its integration with existing clinical workflows, ensuring that diagnostic improvements translate into enhanced patient care and outcomes.


This invention utilizes partial k-coloring to simplify diagnostic pathways for complex medical conditions by representing diagnostic steps as vertices. This innovative method reduces redundant tests while maintaining diagnostic accuracy, streamlining the diagnostic process and enhancing healthcare efficiency. By highlighting critical tests, the technique facilitates faster, more reliable diagnoses, particularly in time-sensitive cases. The partial k-coloring approach is adaptable for various medical fields, providing valuable insights for improving diagnostic workflows and ultimately advancing patient care and treatment outcomes.

The partial k-coloring method simplifies diagnostic pathways by representing diagnostic steps as vertices, improving clarity and efficiency in complex medical
diagnostics.
2. Claim: This technique is versatile and can be applied to various medical fields, facilitating comprehensive analysis of diagnostic workflows across different
conditions.
3. Claim: The approach provides a robust framework for identifying critical diagnostic tests, aiding in the reduction of redundant procedures and improving patient care. 4. Claim: The application of partial k-coloring supports advancements in healthcare by offering clear visual representations of diagnostic pathways, leading to faster and more accurate diagnoses.

5. Claim: This method integrates seamlessly into existing clinical workflows, enhancing both fundamental diagnostic research and practical applications in healthcare delivery.

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