ArticlePattern recognition2019
Structured sparsity regularized multiple kernel learning for Alzheimer's disease diagnosis.
Article in Pattern recognition, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 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
23 citing papers in PubMed, 1 synthesis or guideline pooled it.
- From Single-Modal to Multi-Modal Artificial Intelligence in Alzheimer's Disease: A Systematic Review of Databases, Modalities, Diagnostic Performance, and Clinical Translation Challenges.Sensors (Basel, Switzerland) · 2026Pooled it
- Deep learning models identify brain changes during the progression of Alzheimer's disease.NPJ systems biology and applications · 2026Article
- A deep learning model for early diagnosis of alzheimer's disease combined with 3D CNN and video Swin transformer.Scientific reports · 2025Article
- Advancements in deep learning for early diagnosis of Alzheimer's disease using multimodal neuroimaging: challenges and future directions.Frontiers in neuroinformatics · 2025Review
- Neuropsychological and clinical variables associated with cognitive trajectories in patients with Alzheimer's disease.Frontiers in aging neuroscience · 2025Article
- Fractional gradient optimized explainable convolutional neural network for Alzheimer's disease diagnosis.Heliyon · 2024Article
- Deep Learning for Alzheimer's Disease Prediction: A Comprehensive Review.Diagnostics (Basel, Switzerland) · 2024Review
- Explainable AI and transformer models: Unraveling the nutritional influences on Alzheimer's disease mortality.Smart health (Amsterdam, Netherlands) · 2024Article
- Machine learning with multimodal neuroimaging data to classify stages of Alzheimer's disease: a systematic review and meta-analysis.Cognitive neurodynamics · 2024Review
- Transformer-Based Multi-Modal Data Fusion Method for COPD Classification and Physiological and Biochemical Indicators Identification.Biomolecules · 2023Article
- Explainable Tensor Multi-Task Ensemble Learning Based on Brain Structure Variation for Alzheimer's Disease Dynamic Prediction.IEEE journal of translational engineering in health and medicine · 2023Article
- An Evolving Hypergraph Convolutional Network for the Diagnosis of Alzheimer's Disease.Diagnostics (Basel, Switzerland) · 2022Article
- Article
- A parallel attention-augmented bilinear network for early magnetic resonance imaging-based diagnosis of Alzheimer's disease.Human brain mapping · 2022Article
- A novel cascade machine learning pipeline for Alzheimer's disease identification and prediction.Frontiers in aging neuroscience · 2022Article
- Multi-modal intermediate integrative methods in neuropsychiatric disorders: A review.Computational and structural biotechnology journal · 2022Review
- Alzheimer's Disease Classification Based on Image Transformation and Features Fusion.Computational and mathematical methods in medicine · 2021Article
- Multi-modal neuroimaging feature selection with consistent metric constraint for diagnosis of Alzheimer's disease.Medical image analysis · 2020Article
- Estimating Brain Functional Networks Based on Adaptively-Weighted fMRI Signals for MCI Identification.Frontiers in aging neuroscience · 2020Article
- Article
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.
Funding
Abstract
Multimodal data fusion has shown great advantages in uncovering information that could be overlooked by using single modality. In this paper, we consider the integration of high-dimensional
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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.