ArticleInformatics in medicine unlocked2019
Development of non-invasive diabetes risk prediction models as decision support tools designed for application in the dental clinical environment.
Article in Informatics in medicine unlocked, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06195566 (Physics Informed Machine Learning-based Prediction and Reversion of Impaired Fasting Glucose Management), which is not on this map. Cited by 34 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Physics Informed Machine Learning-based Prediction and Reversion of Impaired Fasting Glucose Management
Who cites it
34 citing papers in PubMed, 2 syntheses or guidelines pooled it, 44 citations in OpenAlex.
- Identify the most appropriate imputation method for handling missing values in clinical structured datasets: a systematic review.BMC medical research methodology · 2024Pooled it
- Systematic review of studies examining contribution of oral health variables to risk prediction models for undiagnosed Type 2 diabetes and prediabetes.Clinical and experimental dental research · 2022Pooled it
- Post-COVID-19 physical and mental quality of life: a latent profile analysis and predictive factors.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2026Article
- Type 2 Diabetes Prediction Model in China: A Five-Year Systematic Review.Healthcare (Basel, Switzerland) · 2025Review
- The impact of childhood trauma and cannabis use on paranoia: a structural equation model approach.Psychological medicine · 2025Observational
- Benchmarking Missing Data Imputation Methods for Time Series Using Real-World Test Cases.Proceedings of machine learning research · 2025Article
- Conceptual framework as a guide to choose appropriate imputation method for missing values in a clinical structured dataset.BMC medical research methodology · 2025Article
- Comparing imputation approaches to handle systematically missing inputs in risk calculators.PLOS digital health · 2025Article
- A novel MissForest-based missing values imputation approach with recursive feature elimination in medical applications.BMC medical research methodology · 2024Article
- Using Machine Learning for Non-Invasive Detection of Kidney Stones Based on Laboratory Test Results: A Case Study from a Saudi Arabian Hospital.Diagnostics (Basel, Switzerland) · 2024Article
- Improved pediatric ICU mortality prediction for respiratory diseases: machine learning and data subdivision insights.Respiratory research · 2024Article
- Moving Beyond Medical Statistics: A Systematic Review on Missing Data Handling in Electronic Health Records.Health data science · 2024Review
- Deep imputation of missing values in time series health data: A review with benchmarking.Journal of biomedical informatics · 2023Review
- Artificial Intelligence in Periodontology: A Scoping Review.Dentistry journal · 2023Article
- A Machine Learning-Based Severity Prediction Tool for the Michigan Neuropathy Screening Instrument.Diagnostics (Basel, Switzerland) · 2023Article
- A machine learning-based data mining in medical examination data: a biological features-based biological age prediction model.BMC bioinformatics · 2022Article
- Joint association between ambient air pollutant mixture and pediatric asthma exacerbations.Environmental epidemiology (Philadelphia, Pa.) · 2022Article
- Prognostic Model of ICU Admission Risk in Patients with COVID-19 Infection Using Machine Learning.Diagnostics (Basel, Switzerland) · 2022Article
- Missing Value Estimation using Clustering and Deep Learning within Multiple Imputation Framework.Knowledge-based systems · 2022Article
- A Methodological Approach to Validate Pneumonia Encounters from Radiology Reports Using Natural Language Processing.Methods of information in medicine · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 1 country.
Funding
Abstract
The objective was to develop a predictive model using medical-dental data from an integrated electronic health record (iEHR) to identify individuals with undiagnosed diabetes mellitus (DM) in dental settings. Retrospective data retrieved from Marshfield Clinic Health System's data-warehouse was pre-processed prior to conducting analysis. A subset was extracted from the preprocessed dataset for external evaluation (N
Indexed as
Identifiers
What OpenQuestion holds
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.