Build an Automated CBC Reporting Framework in R with Advanced Analytics and Modular Design

Description:

I am looking for an experienced R programmer to build a customizable framework for automating the analysis and reporting of complete blood count (CBC) and related biomarkers. The system will allow me to input multiple CBC datasets, generate PDF reports for clients, and include advanced features such as standardisation, modular scoring algorithms, and historical tracking.


Project Goals:

  1. Framework Development:
  • Create a reusable R Markdown template for generating PDF reports.
  • The framework should support bulk processing of CBC datasets and output individual reports for each dataset.
  1. Data Visualisation:
  • Include a bar chart visualising biomarker results, standardised across analytes (e.g., z-scores) to enable direct comparison.
  • Colour-code bars based on classification (e.g., within range, out of clinical range, alarm).
  1. Data Classification:
  • Results will be compared to optimal, clinical, and alarm ranges.
  • Add clear classification labels for biomarkers (e.g., “Within Optimal Range,” “Out of Clinical Range,” “Alarm”).
  1. Modular Design: Create modules for key health categories, with each module integrating several biomarkers into weighted algorithms:
  • Cardiometabolic Health: Include markers like HbA1c, cholesterol, triglycerides, CRP.
  • Sex Hormones: Include testosterone, oestrogen, SHBG.
  • Metabolism: Insulin, fasting glucose.
  • Detoxification: Liver function markers (ALT, AST, GGT, bilirubin).
  • Vitamin and Mineral Status: Vitamin D, magnesium, zinc, B12, folate.
  • Cardiovascular Risk: Advanced lipid panels, ApoB, LDL size.
  • Oxidative Stress: GGT, lipid peroxidation markers, CRP.
  1. Custom Algorithms:
  • Develop scoring algorithms within each module to produce weighted scores and an overall summary.
  • Scores should be calculated based on reference ranges and clinical guidelines.
  1. History Module:
  • Include functionality to compare multiple reports for the same client over time.
  • Generate trend graphs for selected biomarkers and modules.
  1. Flexible Report Generation:
  • Enable PDF report generation that includes:
    • Title page with client information.
    • Modular sections with individual biomarker data and scores.
    • Summary section with overall scores and recommendations.
    • Visualizations such as bar charts, trend graphs, and pie charts.
  1. Output Requirements:
  • A well-documented R Markdown template that can be reused for multiple datasets.
  • Example reports demonstrating the functionality.
  • Code structure allowing future customisation.

Additional Information:

  • I will provide sample CBC datasets, reference ranges, and a partial R script for initial exploration.
  • Reports should follow a professional and client-friendly design.
  • Standardisation of biomarkers (e.g., z-scores) is critical for comparing analytes with differing units.
  • The system should support easy updating of reference ranges and scoring algorithms.

Budget and Timeline:

  • Budget: [Insert your budget range]
  • Timeline: I would like this completed within [Insert timeframe, e.g., 1–2 weeks].

Expected Deliverables:

  1. Reusable Framework:
  • Modular R code and R Markdown templates.
  • Scoring algorithms for the defined health modules.
  1. Visualization Tools:
  • Bar charts and trend graphs with standardised values.
  1. Comprehensive Documentation:
  • Clear instructions on how to use, update, and expand the framework.

To Apply:

Please provide:

  1. Examples of similar work (e.g., R Markdown reports, data analysis frameworks, custom visualisations).
  2. A brief outline of your approach to this project.
  3. Your quote and estimated delivery time.