ArticleInternational journal of medical sciences2019
A Prediction Model of Essential Hypertension Based on Genetic and Environmental Risk Factors in Northern Han Chinese.
Article in International journal of medical sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 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
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Who cites it
20 citing papers in PubMed, 37 citations in OpenAlex.
- Comorbidity of hypertension and lung cancer: interplay of genetics and environment.Discover oncology · 2025Review
- The Role of Artificial Intelligence in Cardiovascular Disease Risk Prediction: An Updated Review on Current Understanding and Future Research.Current cardiology reviews · 2025Review
- Feature Selection for Hypertension Risk Prediction Using XGBoost on Single Nucleotide Polymorphism Data.Healthcare informatics research · 2025Article
- Using Machine Learning to Evaluate the Value of Genetic Liabilities in the Classification of Hypertension within the UK Biobank.Journal of clinical medicine · 2024Article
- Development of hypertension models for lung cancer screening cohorts using clinical and thoracic aorta imaging factors.Scientific reports · 2024Article
- Risk Assessment Score and Chi-Square Automatic Interaction Detection Algorithm for Hypertension Among Africans: Models From the SIREN Study.Hypertension (Dallas, Tex. : 1979) · 2023Article
- Survey and Evaluation of Hypertension Machine Learning Research.Journal of the American Heart Association · 2023Article
- A cardiologist's guide to machine learning in cardiovascular disease prognosis prediction.Basic research in cardiology · 2023Review
- Establishing a Prediction Model for the Efficacy of Platinum-Based Chemotherapy in NSCLC Based on a Two Cohorts GWAS Study.Journal of clinical medicine · 2023Article
- Combating hypertension beyond genome-wide association studies: Microbiome and artificial intelligence as opportunities for precision medicine.Cambridge prisms. Precision medicine · 2023Review
- Association study ofFrontiers in genetics · 2023Article
- Article
- Artificial Intelligence and Cardiovascular Genetics.Life (Basel, Switzerland) · 2022Review
- Development and Validation of a Nomogram-Based Prognostic Model to Predict High Blood Pressure in Children and Adolescents-Findings From 342,736 Individuals in China.Frontiers in cardiovascular medicine · 2022Article
- Identifying the predictive effectiveness of a genetic risk score for incident hypertension using machine learning methods among populations in rural China.Hypertension research : official journal of the Japanese Society of Hypertension · 2021Article
- A risk scoring system to predict the risk of new-onset hypertension among patients with type 2 diabetes.Journal of clinical hypertension (Greenwich, Conn.) · 2021Article
- A New Model for Caries Risk Prediction in Teenagers Using a Machine Learning Algorithm Based on Environmental and Genetic Factors.Frontiers in genetics · 2021Article
- Artificial Intelligence and Hypertension: Recent Advances and Future Outlook.American journal of hypertension · 2020Review
- Article
- Shorter Leukocyte Telomere Length coupled with lower expression of Telomerase Genes in patients with Essential Hypertension.International journal of medical sciences · 2020Observational
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
PubMed holds no abstract for this paper.
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.