Hypothetical Parameters for Fractional-Order Breast Cancer Treatment Modeling

7 hypothetical parameters for a fractional-order computational model of breast cancer treatment dynamics. The dataset, authored by Irshad Sikandar Jamadar and last updated in May 2026, compares five treatment protocols across four patient populations, with efficacy scores ranging up to 32.38. It is stored in a 5.5 KB XLS file.

Use Cases

• Comparing treatment protocol efficacy based on fractional-order parameter values mentioned in the description
• Analyzing patient-specific treatment responses based on age and health status categories
• Performing parameter sensitivity analysis based on immune cytotoxic killing rate and resistance parameters
• Benchmarking fractional-order against integer-order models for predictive accuracy in specific patient-protocol combinations

Strengths

• Dataset is focused on a specific modeling approach with 7 parameters and 5 treatment protocols.
• Analysis includes four distinct patient populations (younger, older, compromised) for context-dependent patterns.
• License is clearly defined as CC-BY-4.0, allowing for open reuse.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is very small at 5.5 KB, indicating limited scope.

Provenance

Source

figshare

Collection Method

Likely generated via computational modeling as part of a research study.

Freshness

Last updated 2026-05-14 17:38:15; freshness should be verified.