Patient-centered data science: an integrative framework for evaluating and predicting clinical outcomes in the digital health era
arXiv:2408.02677v2 Announce Type: replace-cross Abstract: This study proposes a novel, integrative framework for patient-centered data science in the digital health era. We developed a multidimensional model that combines traditional clinical data with patient-reported outcomes, social determinants of health, and multi-omic data to create comprehensive digital patient representations. Our framework employs a multi-agent artificial intelligence approach, utilizing various machine learning techniq
Record details
Published: 5 August 2026
Source: arXiv cs.CY
Category: Research
Topics: Healthcare · Agents & autonomy
Retrieved: 5 August 2026
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ethics.ai (5 August 2026), “Patient-centered data science: an integrative framework for evaluating and predicting clinical outcomes in the digital health era,” evidence record 16210, https://ethics.ai/record/16210 (originally published by arXiv cs.CY).
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