SCOPUS
Medical Data Mining
TMR Publishing Group, New Zealand
Medical Data Mining is an academic journal published by TMR Publishing Group (New Zealand). Identifiers: eISSN 2624-1587. Indexed in SCOPUS. Metrics: CiteScore 0.1, SJR 0.113, SNIP 0.04. tlooto lists 226 papers from this journal.
CiteScore
0.10
Scopus citation metric
SJR
0.113
SCImago rank
SNIP
0.04
Source normalized impact
Percentage rank
-
JIF percentile rank
Journal profile
- ISSN
- -
- eISSN
- 2624-1587
- Abbreviation
- -
- Publisher
- TMR Publishing Group
- Country
- New Zealand
Web of Science categories
No Web of Science category data available.
Scopus ASJC categories
2718 Health Informatics
Papers in this journal
Recent papers
- Enhancing multiclass brain tumor classification through automated segmentation-guided deep learning
2026
- RankXLAN: An explainable ensemble-based machine learning framework for biomarker detection, therapeutic target identification, and classification using transcriptomic and epigenomic stomach cancer data
2026
- Quantum machine learning for smart healthcare applications
2026
- WDR1 serves as a prognostic and immune-modulatory biomarker in glioma
2026
- Machine learning algorithms for ICU mortality prediction in community-acquired pneumonia: A standardized validation and calibration study on the NACef cohort
2026
Most cited papers
- RCSB Protein Data Bank: revolutionising drug discovery and design for over five decades
2025 · 26 citations
- Somatic TP53 mutations and comparison of different TP53 functional domains in human cancers: data analysis from the IARC TP53 database and the National Cancer Institute GDC data portal
2021 · 13 citations
- Application status and development of big data in medical education in China
2019 · 8 citations
- CardioMix: a multimodal image-based classification pipeline for enhanced ECG diagnosis
2025 · 7 citations
- Explainable machine learning framework for gene expression-based biomarker identification and cancer classification using feature selection
2025 · 5 citations