Integrating patient-reported weight gain cause narratives into personalized obesity management: a data-driven approach with natural language processing and machine learning (opens in new tab)

BackgroundLife course factors play an important role in the multifactorial etiology of obesity, yet quantitative analysis of patient-originated, unstructured weight gain cause narratives remains a challenge. This study automated the thematic labeling of such narratives with a large language model to assess the clinical relevance of patient-reported weight gain cause data in weight loss prediction and patient phenotyping.Subjects and methodsA total of 2,463 patients with overweight or obesity ...