Clinical Parameters for Fractional-Order Breast Cancer Treatment Modeling

Irshad Sikandar Jamadar's dataset contains 21 clinical parameters used to develop a fractional-order computational framework for breast cancer treatment. The data underpins an analysis of tumor dynamics, immune responses, and resistance mechanisms across five treatment protocols and four patient populations. The dataset was last updated on May 14, 2026.

Use Cases

• Comparing treatment protocol efficacy based on fractional order parameter values described in the study
• Analyzing patient-specific treatment responses based on age and health status categories mentioned
• Conducting parameter sensitivity analysis based on immune cytotoxic killing rate and resistance parameters highlighted
• Benchmarking fractional-order against integer-order models for tumor dynamics prediction

Strengths

• Data supports analysis across five distinct treatment protocols and four patient populations.
• The study identifies specific efficacy scores, such as a maximum benefit of 32.38 for younger patients under a defined protocol.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is very small at 9.5 KB, indicating limited scope.

Provenance

Source

Irshad Sikandar Jamadar via figshare

Collection Method

Likely generated from computational modeling of breast cancer treatment scenarios.

Freshness

Last updated 2026-05-14 17:38:12