ReviewMilitary Medical Research2021
Data mining in clinical big data: the frequently used databases, steps, and methodological models.
Review in Military Medical Research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 326 papers, 4 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
326 citing papers in PubMed, 4 syntheses or guidelines pooled it, 500 citations in OpenAlex.
- Hypoglycaemia Risk Prediction Models for Type 2 Diabetes: A Systematic Review and Meta-Analysis.Endocrinology, diabetes & metabolism · 2026Pooled it
- Induced diabetic neurogenic bladder animal models: application characteristics and standardization proposals via systematic data mining.Frontiers in endocrinology · 2026Pooled it
- Traditional herbal medicine for obesity-related polycystic ovary syndrome: a meta-analysis and data mining study.Frontiers in pharmacology · 2025Pooled it
- Data mining-based analysis to explore the application of an animal model of diabetic gastroparesis.Frontiers in endocrinology · 2025Pooled it
- Two web-based dynamically interactive nomograms and risk stratification systems for predicting survival outcomes and guiding treatment in non-metastatic nasopharyngeal carcinoma.Journal of cancer research and clinical oncology · 2023Trial
- Prognostic nomogram for colorectal cancer patients with multi-organ metastases: a Surveillance, Epidemiology, and End Results program database analysis.Journal of cancer research and clinical oncology · 2023Trial
- Establishment and validation of a prognosis nomogram for MIMIC-III patients with liver cirrhosis complicated with hepatic encephalopathy.BMC gastroenterology · 2023Trial
- Construction and validation of machine learning models for sepsis prediction in patients with acute pancreatitis.BMC surgery · 2023Trial
- Large language models for pneumonia detection in radiology reports via text analysis.PLOS digital health · 2026Article
- Machine learning-based prediction of sepsis-induced myocardial injury: external validation and SHAP interpretation.BMC infectious diseases · 2026Article
- Association of prognostic nutritional index with mortality in patients with sepsis-associated delirium: a retrospective MIMIC-IV study.BMC neurology · 2026Article
- Network toxicology and molecular docking identify BRCA1 as a functional target of the dietary carcinogen PhIP in colorectal cancer.Discover oncology · 2026Article
- A novel model based on ferroptosis-related lncRNAs for predicting prognosis and adjuvant therapy response in colon adenocarcinoma.Discover oncology · 2026Article
- Propofol Use and Delirium in Patients Aged 80 Years and Over: A Retrospective Cohort Study of 9850 ICU Admissions.Drugs & aging · 2026Article
- Development and validation of a nomogram to predict mobile phone addiction risk among Chinese adolescents.BMC psychology · 2026Article
- DHX37 and tumor growth: a novel avenue for melanoma research.Journal of translational medicine · 2026Article
- Article
- Applications of Artificial Intelligence (AI) in Breast Cancer Care Delivery and Education: A Scoping Review.International journal of environmental research and public health · 2026Article
- The association of night shift work with the risk of acute ischemic cerebrovascular syndrome: a longitudinal study of 204,261 UK Biobank participants.Journal of neurology · 2026Article
- A novel traditional Chinese medicine compound alleviates broiler ascites syndrome by modulating the IL-6/STAT3/FOXO3a signaling pathway.Poultry science · 2026Article
266 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 2 institutions in 1 country.
Funding
Abstract
Many high quality studies have emerged from public databases, such as Surveillance, Epidemiology, and End Results (SEER), National Health and Nutrition Examination Survey (NHANES), The Cancer Genome Atlas (TCGA), and Medical Information Mart for Intensive Care (MIMIC); however, these data are often characterized by a high degree of dimensional heterogeneity, timeliness, scarcity, irregularity, and other characteristics, resulting in the value of these data not being fully utilized. Data-mining technology has been a frontier field in medical research, as it demonstrates excellent performance in evaluating patient risks and assisting clinical decision-making in building disease-prediction models. Therefore, data mining has unique advantages in clinical big-data research, especially in large-scale medical public databases. This article introduced the main medical public database and described the steps, tasks, and models of data mining in simple language. Additionally, we described data-mining methods along with their practical applications. The goal of this work was to aid clinical researchers in gaining a clear and intuitive understanding of the application of data-mining technology on clinical big-data in order to promote the production of research results that are beneficial to doctors and patients.
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.