ArticleEuropean heart journal. Digital health2024
Machine learning-based gait analysis to predict clinical frailty scale in elderly patients with heart failure.
Article in European heart journal. Digital health, 2024. 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.
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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.
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Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.
- Length of stay and prior heart failure admission in frailty and heart failure: A systematic review and meta-analysis.ESC heart failure · 2025Pooled it
- Colon Capsule Endoscopy-Measured Colonic Transit Time Is Associated with Frailty in Older Adults.Medicina (Kaunas, Lithuania) · 2026Article
- Meta-heuristic and machine learning based functional capacity prediction using gait parameters in patients with heart failure.Scientific reports · 2026Article
- Multidimensional balance assessment and machine learning gait stability prediction in elderly women.Scientific reports · 2026Article
- Association of sarcopenia with survival and treatment response in brain metastasis of non-small cell lung cancer.Scientific reports · 2026Article
- Effect of Hand Grip Strength on Perioperative Outcomes in Older Female Patients Scheduled for Total Knee Arthroplasty Under General Anesthesia-A Prospective Observational Study.Journal of clinical medicine · 2026Article
- Cannabinoid efficacy for pain: dose, chronicity and route.Frontiers in neuroscience · 2026Review
- Digital therapeutics into geriatric cardiovascular emergency care.Frontiers in digital health · 2026Review
- Markerless Motion Capture Parameters Associated with Fall Risk or Frailty: A Scoping Review.Sensors (Basel, Switzerland) · 2025Article
- Lifestyle, environment and other major determinants of frailty in older adults: a population-based study from the UK Biobank.Biogerontology · 2025Article
- Artificial Intelligence in Clinics: Enhancing Cardiology Practice.JMA journal · 2025Review
- Artificial intelligence-enhanced patient evaluation: bridging art and science.European heart journal · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
19 authors at 6 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Aims: Although frailty assessment is recommended for guiding treatment strategies and outcome prediction in elderly patients with heart failure (HF), most frailty scales are subjective, and the scores vary among raters. We sought to develop a machine learning-based automatic rating method/system/model of the clinical frailty scale (CFS) for patients with HF. Methods and results: We prospectively examined 417 elderly (≥75 years) with symptomatic chronic HF patients from 7 centres between January 2019 and October 2023. The patients were divided into derivation ( Conclusion: Machine learning-based algorithms of automatically CFS rating are feasible, and the predicted CFS is associated with the risk of all-cause death in elderly patients with HF.
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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.