ArticleFrontiers in cardiovascular medicine2021
Prediction of Masked Hypertension and Masked Uncontrolled Hypertension Using Machine Learning.
Article in Frontiers in cardiovascular medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
What it found
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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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
18 citing papers in PubMed.
- Current perspectives and challenges of digital hypertension: artificial intelligence in the management of hypertension.Clinical hypertension · 2026Review
- Prevalence and prediction of masked uncontrolled hypertension in patients recently hospitalized for myocardial infarction.European heart journal open · 2025Article
- Machine learning analysis of coagulation-related genes for breast cancer diagnosis and prognosis prediction.Scientific reports · 2025Article
- Controversy in Hypertension: Pro-Side of the Argument Using Artificial Intelligence for Hypertension Diagnosis and Management.Hypertension (Dallas, Tex. : 1979) · 2025Review
- Can we detect masked hypertension and masked uncontrolled hypertension using simple metrics? A novel clinical model for latino population.Journal of human hypertension · 2025Article
- "Clinical prediction model for masked hypertension diagnosed by 24-h ambulatory blood pressure measurements in a sample from specialized hospital."Journal of human hypertension · 2025Article
- Machine learning model for detecting masked hypertension in young adults.Frontiers in physiology · 2025Article
- Application of artificial intelligence in hypertension.Clinical hypertension · 2024Review
- Recent developments in machine learning modeling methods for hypertension treatment.Hypertension research : official journal of the Japanese Society of Hypertension · 2024Review
- Predicting hypertension control using machine learning.PloS one · 2024Article
- Shapely additive values can effectively visualize pertinent covariates in machine learning when predicting hypertension.Journal of clinical hypertension (Greenwich, Conn.) · 2023Article
- Masked Hypertension in Healthy Children and Adolescents: Who Should Be Screened?Current hypertension reports · 2023Review
- Development of a convenient and effective hypertension risk prediction model and exploration of the relationship between Serum Ferritin and Hypertension Risk: a study based on NHANES 2017-March 2020.Frontiers in cardiovascular medicine · 2023Article
- Prediction of Masked Uncontrolled Hypertension Detected by Ambulatory Blood Pressure Monitoring.Diagnostics (Basel, Switzerland) · 2022Article
- Article
- Blood pressure response to standing is a strong determinant of masked hypertension in young to middle-age individuals.Journal of hypertension · 2022Article
- Identification of nine signature proteins involved in periodontitis by integrated analysis of TMT proteomics and transcriptomics.Frontiers in immunology · 2022Article
- Advancing Prediction of Risk of Intraoperative Massive Blood Transfusion in Liver Transplantation With Machine Learning Models. A Multicenter Retrospective Study.Frontiers in neuroinformatics · 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
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
PubMed holds no abstract for this paper.
Indexed as
Identifiers
What Socratic 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 Socratic graph.