clinical-decision-support

Automate clinical decision support document generation by inputting patient cohort datasets to produce biomarker-stratified analyses and evidence-based treatment recommendation reports. The tool compiles patient data, statistical analyses, and visualizations into publication-ready LaTeX/PDF output.

Yes, you can generate GRADE methodology treatment recommendations from patient cohort data. The skill supports GRADE methodology for evidence synthesis, applying statistical analysis to create professional treatment recommendation reports for pharmaceutical and clinical research settings.

Yes, clinical decision support with lifelines and pandas is supported. The skill depends on pandas, numpy, scipy, and lifelines to perform statistical analysis and biomarker stratification, generating visualizations and cohort analysis reports from patient data.

Create publication-ready LaTeX reports for oncology trial cohort analysis by using this skill to compile patient data and statistical analyses. It leverages tikz and matplotlib for visualizations, outputting professional PDF documents tailored for biomarker-stratified clinical research.

Yes, LaTeX and tikz are required dependencies for generating clinical decision support PDF documents. The skill uses pyyaml for configuration and tikz alongside matplotlib to render statistical visualizations and publication-ready LaTeX output.