All fields · Health Information Management
JournalQ1· SCImago 2025
BMC Medical Informatics and Decision Making
ISSN 1472-6947
- Q1Quartile
- 1.00SJR
- 117h-index
- 17papers summarised
About this journal
BMC Medical Informatics and Decision Making is a Q1 journal by SCImago Journal Rank (2025 data), with an SJR of 1.00 and an h-index of 117. Most of its papers in the Pofolia pool fall under Health Information Management. Pofolia holds AI summaries of 17 paper(s) from this journal; the most cited is “Explainability for artificial intelligence in healthcare: a multidisciplinary perspective” (1900 citations).
The quartile (Q1–Q4) is the journal's percentile position within its subject area by SCImago Journal Rank; Q1 is the top 25%. What is a Q1 journal? · What is the h-index?
Most-cited papers in Health Information Management →
Papers we summarise from this journal
- Explainability for artificial intelligence in healthcare: a multidisciplinary perspective2020 · 1900 citations
- The role of artificial intelligence in healthcare: a structured literature review2021 · 1043 citations
- Cognitive biases associated with medical decisions: a systematic review2016 · 971 citations
- AXIAL: Attention-based eXplainability for Interpretable Alzheimer’s Localized diagnosis using 2D CNNs on 3D MRI brain scans2026 · 2 citations
- Multidimensional data quality assessment in emergency department information systems using a weighted composite index: a cross-sectional study2026 · 0 citations
- Large language model–based classification of adverse event severity: agreement with final human classification in a single-center study2026 · 0 citations
- CARDINAL: physiology-guided directional structure and prototype learning for small-sample echocardiographic assessment2026 · 0 citations
- Analyzing determinants of biological age through systematic review of prediction models2026 · 0 citations
- A machine learning-based clinical decision support tool for predicting low birth weight: a retrospective cohort study2026 · 0 citations
- What influences patients’ perspectives on the fairness of AI decision-making tools in healthcare? A cross sectional survey in the UK2026 · 0 citations
- On the value of MRI in early cognitive risk prediction: survival analysis comparing statistical and machine learning models2026 · 0 citations
- Increased gamma oscillations and inter-regional brain asymmetry associated with sepsis-associated delirium: a prospective cohort study2026 · 0 citations
- A clinical nomogram for predicting asthma progression in allergic rhinitis: a decision support tool2026 · 0 citations
- Cardiovascular disease prediction and mortality risk assessment using a QSAO‑optimized BP neural network2026 · 0 citations
- CleanSurvival: automated data preprocessing for time-to-event models using reinforcement learning2026 · 0 citations
- A practical nomogram for the early prediction of hemiplegic shoulder pain in stroke patients: a development and validation study2026 · 0 citations
- Development and external validation of an explainable machine learning model for risk stratification of patients with chronotropic incompetence undergoing exercise stress SPECT-MPI: a dual-center study2026 · 0 citations
Journals in the same field
| Journal | Quartile | SJR | Summaries |
|---|---|---|---|
| The Lancet Public Health | Q1 | 8.00 | 1 |
| JAMA Neurology | Q1 | 5.00 | 1 |
| npj Digital Medicine | Q1 | 4.00 | 2 |
| Artificial Intelligence Review | Q1 | 3.00 | 1 |
| JAMA Network Open | Q1 | 3.00 | 1 |
| Journal of Medical Internet Research | Q1 | 2.00 | 4 |
| Journal of the American Heart Association | Q1 | 2.00 | 1 |
| Annals of Internal Medicine | Q1 | 2.00 | 1 |
| Pediatrics | Q1 | 2.00 | 1 |
| BMC Health Services Research | Q1 | 1.00 | 8 |
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