ArticleSensors (Basel, Switzerland)2021
Performance Evaluation of Machine Learning Frameworks for Aphasia Assessment.
Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
What it found
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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
9 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.
- Exploring the Effectiveness of Technology-Based Interventions in Aphasia Rehabilitation: A Systematic Review.International journal of language & communication disordersPooled it
- Predicting Post-Stroke Aphasia Speech Performance from Multimodal Data with Explainable Machine Learning.bioRxiv : the preprint server for biology · 2026Article
- The cost of unmodeled biological complexity in artificial neural networks.Patterns (New York, N.Y.) · 2025Review
- Application of machine learning and temporal response function modeling of EEG data for differential diagnosis in primary progressive aphasia.Scientific reports · 2025Article
- The use of low-density EEG for the classification of PPA and MCI.Frontiers in human neuroscience · 2025Article
- Evaluating Fluency in Aphasia: Fluency Scales, Trichotomous Judgements, or Machine Learning.Aphasiology · 2024Article
- A Telemedicine Platform for Aphasia: Protocol for a Development and Usability Study.JMIR research protocols · 2022Article
- Automatic Assessment of Aphasic Speech Sensed by Audio Sensors for Classification into Aphasia Severity Levels to Recommend Speech Therapies.Sensors (Basel, Switzerland) · 2022Article
- Prototyping Mobile Storytelling Applications for People with Aphasia.Sensors (Basel, Switzerland) · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 1 country.
Funding
Abstract
Speech assessment is an essential part of the rehabilitation procedure for patients with aphasia (PWA). It is a comprehensive and time-consuming process that aims to discriminate between healthy individuals and aphasic patients, determine the type of aphasia syndrome, and determine the patients' impairment severity levels (these are referred to here as aphasia assessment tasks). Hence, the automation of aphasia assessment tasks is essential. In this study, the performance of three automatic speech assessment models based on the speech
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.