Patient Profile Parameter Modifications for Breast Cancer Treatment Modeling

5.5 KB of Excel data from a study by Irshad Sikandar Jamadar developing a fractional-order computational framework for breast cancer treatment. The dataset likely contains parameter modifications for modeling tumor dynamics, immune responses, and resistance mechanisms across five treatment protocols and four patient populations. The data was last updated on May 14, 2026.

Use Cases

• Comparing the efficacy of Continuous, Adaptive, and other treatment protocols based on fractional-order parameters mentioned in the description.
• Analyzing patient-specific treatment responses based on age groups (younger, older, compromised) described in the study.
• Investigating the sensitivity of model outcomes to parameters like immune cytotoxic killing rate and treatment resistance parameters highlighted in the analysis.
• Benchmarking fractional-order models against integer-order models for tumor dynamics prediction as discussed in the research.

Strengths

• Data is openly licensed under CC-BY-4.0.
• The study provides specific efficacy results, such as a maximum benefit of 32.38 for younger patients under a defined protocol.
• Analysis includes a parameter sensitivity study identifying key influential factors.

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 (5.5 KB), indicating limited scope.

Provenance

Source

figshare

Collection Method

Likely generated from computational simulations described in the associated research.

Freshness

Last updated 2026-05-14 17:38:09; freshness should be verified.