Results 251 to 260 of about 77,410 (305)

Revolutionizing Sleep Medicine: The Impact of Machine Learning on Diagnosis, Treatment, and Personalized Care

open access: yesHealth Science Reports, Volume 9, Issue 6, June 2026.
ABSTRACT Background Machine learning (ML) has emerged as a transformative tool in sleep medicine, offering innovative solutions for diagnosing, treating, and understanding sleep disorders. This review examines the current state and future potential of ML applications in this domain.
Alexander A. Huang, Samuel Y. Huang
wiley   +1 more source

Centers for Disease Control and Prevention's 2026 Nutrition Report Presents Data for 131 Biomarkers from the Cross-Sectional National Health and Nutrition Examination Survey (NHANES 1999-August 2023). [PDF]

open access: yesCurr Dev Nutr
Pfeiffer CM   +14 more
europepmc   +1 more source

Short-Term Dietary Intervention Alters Physiological Profiles Relevant to Ageing. [PDF]

open access: yesAging Cell
Andrews CJ   +7 more
europepmc   +1 more source

Accuracy of NHANES Periodontal Examination Protocols

open access: yesJournal of Dental Research, 2010
This study evaluates the accuracy of periodontitis prevalence determined by the National Health and Nutrition Examination Survey (NHANES) partial-mouth periodontal examination protocols. True periodontitis prevalence was determined in a new convenience sample of 454 adults ≥ 35 years old, by a full-mouth “gold standard” periodontal examination.
Wenche S Borgnakke, Bruce A Dye
exaly   +4 more sources

Future Directions for the Integrated CSFII-NHANES: What We Eat in America–NHANES [PDF]

open access: yesJournal of Nutrition, 2003
The history of the integration of the dietary data collection from the National Health and Nutrition Examination Survey (NHANES) and the Continuing Survey of Food Intakes by Individuals (CSFII) is reviewed. The purposes and process of the workshop are presented. The three key topics of the workshop are summarized.
Johanna T Dwyer   +2 more
exaly   +3 more sources

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