ArticleInternational journal of environmental research and public health2021
Data Mining in Healthcare: Applying Strategic Intelligence Techniques to Depict 25 Years of Research Development.
Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis 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
12 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Critical Success Factors for Successful Implementation of Healthcare 4.0: A Literature Review and Future Research Agenda.International journal of environmental research and public health · 2023Pooled it
- Unveiling Epidemiologic Insights: A Case-Control Study of Congenital Cleft Lip and/or Palate Using Association Rule Mining.BioMed research international · 2026Observational
- The ethics of data mining in healthcare: challenges, frameworks, and future directions.BioData mining · 2025Review
- Review
- Diagnoses and medications associated with delayed ejaculation.Sexual medicine · 2023Article
- Exposure to Terrorism, Post-Traumatic Stress Disorder and University Teachers' Performance: Underpinning the Role of Social Support.Behavioral sciences (Basel, Switzerland) · 2023Article
- Studying infant mortality: A demographic analysis based on data mining models.Open life sciences · 2023Article
- Implementation of Health Information Systems to Improve Patient Identification.International journal of environmental research and public health · 2022Article
- Review
- A Bibliometric Analysis of Research on Selenium in Drinking Water during the 1990-2021 Period: Treatment Options for Selenium Removal.International journal of environmental research and public health · 2022Article
- Extracting Significant Comorbid Diseases from MeSH Index of PubMed.Methods in molecular biology (Clifton, N.J.) · 2022Article
- A Bibliometric Network Analysis of Recent Publications on Digital Agriculture to Depict Strategic Themes and Evolution Structure.Sensors (Basel, Switzerland) · 2021Review
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.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In order to identify the strategic topics and the thematic evolution structure of data mining applied to healthcare, in this paper, a bibliometric performance and network analysis (BPNA) was conducted. For this purpose, 6138 articles were sourced from the Web of Science covering the period from 1995 to July 2020 and the SciMAT software was used. Our results present a strategic diagram composed of 19 themes, of which the 8 motor themes ('NEURAL-NETWORKS', 'CANCER', 'ELETRONIC-HEALTH-RECORDS', 'DIABETES-MELLITUS', 'ALZHEIMER'S-DISEASE', 'BREAST-CANCER', 'DEPRESSION', and 'RANDOM-FOREST') are depicted in a thematic network. An in-depth analysis was carried out in order to find hidden patterns and to provide a general perspective of the field. The thematic network structure is arranged thusly that its subjects are organized into two different areas, (i) practices and techniques related to data mining in healthcare, and (ii) health concepts and disease supported by data mining, embodying, respectively, the hotspots related to the data mining and medical scopes, hence demonstrating the field's evolution over time. Such results make it possible to form the basis for future research and facilitate decision-making by researchers and practitioners, institutions, and governments interested in data mining in healthcare.
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.