{
 "approved_by_author": "\u231b",
 "citation": "Kwon, Dayoon, and Daniel W. Belsky. \"A toolkit for quantification of biological age from blood chemistry and organ function test data: BioAge.\" GeroScience 43.6 (2021): 2795-2808.",
 "citations": 332,
 "citations_date": "2026-08-20",
 "clock_name": "kdmage",
 "data_type": "clinical biomarkers",
 "doi": "https://doi.org/10.1007/s11357-021-00480-5",
 "journal": "GeroScience",
 "last_author": "Daniel W. Belsky",
 "model_type": "Klemera\u2013Doubal composite",
 "n_features": 11,
 "notes": "Klemera-Doubal biological age, trained sex-specifically on NHANES III adults aged 30-75 who were not pregnant, using the BioAge package defaults. Biomarker parameters were fit on SI-unit variants so they are natively in pyaging's unit convention, and C-reactive protein is supplied raw in mg/dL and log1p-transformed inside the clock. Sex is coded female = 1 and male = 0; a dataset with no female column scores every sample with the male parameters.",
 "platform": [
  "clinical laboratory assays"
 ],
 "population": "adults",
 "postprocess": "klemera_doubal",
 "predicts": [
  "biological age"
 ],
 "preprocess": "log1p_crp",
 "reference_values": true,
 "research_only": null,
 "species": "Homo sapiens",
 "tissue": [
  "blood"
 ],
 "training_target": [
  "chronological age"
 ],
 "unit": [
  "years"
 ],
 "version": "0.5.0",
 "year": 2021
}