ArticleScientific reports2024
Prediction of xerostomia in elderly based on clinical characteristics and salivary flow rate with machine learning.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed, 17 citations in OpenAlex.
- Xerogenic medications and clinical markers of salivary hypofunction.Clinical oral investigations · 2026Article
- Xerostomia and Oral Health-Related Quality of Life in Chilean Older Adults Living in Long-Term Care Facilities.Gerodontology · 2026Article
- Evaluating ChatGPT's Effectiveness for Arabic Dry Mouth Patient Education.Healthcare (Basel, Switzerland) · 2026Article
- Repeated Unstimulated Whole Saliva Collection: A Reliable Approach to Improve Diagnostic Accuracy.Journal of oral rehabilitation · 2026Article
- Hyposalivation Treatment with Non-Crosslinked Hyaluronic Acid and Amino Acids Solution-A Clinical Pilot Study.Life (Basel, Switzerland) · 2026Article
- Exploring Beverage Intake and Dietary Timing Patterns in Medication-Induced Xerostomia: A Cross-Sectional Pilot Study.Nutrients · 2026Article
- Minor salivary flow as a diagnostic tool for screening hyposalivation in Medication-Induced Xerostomia.BMC oral health · 2026Article
- Reliable assessment of oral dryness in adults with type 2 diabetes mellitus using the Romanian version of the Summated Xerostomia Inventory.Frontiers in oral health · 2026Article
- Organoid-based modeling and regenerative strategies for salivary gland dysfunction.The Korean journal of physiology & pharmacology : official journal of the Korean Physiological Society and the Korean Society of Pharmacology · 2025Review
- Medication-Induced Xerostomia: Cross-Sectional Analysis of Salivary Flow, Intraoral Aching, and Anxiety.Journal of clinical medicine · 2025Article
- Targeting the Oral Mucosa: Emerging Drug Delivery Platforms and the Therapeutic Potential of Glycosaminoglycans.Pharmaceutics · 2025Review
- Oral Candidiasis Associated with Aging and Salivary Hypofunction in Stomatitis Patients.Journal of fungi (Basel, Switzerland) · 2025Article
- Xerostomia correlates with pain sensitivity in burning mouth syndrome patients.Scientific reports · 2025Article
- Self-reported oral health and oral health-related quality of life among older adults receiving home care services in South-eastern Norway.Acta odontologica Scandinavica · 2025Article
- Applied artificial intelligence in dentistry: emerging data modalities and modeling approaches.Frontiers in artificial intelligence · 2024Review
Corrections and comments
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Authors and funding
5 authors at 3 institutions in 1 country.
Funding
Abstract
Xerostomia may be accompanied by changes in salivary flow rate and the incidence increases in elderly. We aimed to use machine learning algorithms, to identify significant predictors for the presence of xerostomia. This study is the first to predict xerostomia with salivary flow rate in elderly based on artificial intelligence. In a cross-sectional study, 829 patients with oral discomfort were enrolled, and six features (sex, age, unstimulated and stimulated salivary flow rates (UFR and SFR, respectively), number of systemic diseases, and medication usage) were used in four machine learning algorithms to predict the presence of xerostomia. The incidence of xerostomia increased with age. The SFR was significantly higher than the UFR, and the UFR and SFR were significantly correlated. The UFR, but not SFR, decreased with age significantly. In patients more than 60 years of age, the UFR had a significantly higher predictive accuracy for xerostomia than the SFR. Using machine learning algorithms with tenfold cross-validation, the prediction accuracy increased significantly. In particular, the prediction accuracy of the multilayer perceptron (MLP) algorithm that combined UFR and SFR data was significantly better than either UFR or SFR individually. Moreover, when sex, age, number of systemic diseases, and number of medications were added to the MLP model, the prediction accuracy increased from 56 to 68%.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.