ArticleProceedings of machine learning research2025
Integrating Social Determinants of Health in a Multi-Modal Deep Clustering Survival Model for Injury-Risk in Alzheimer's and Related Dementia Patients.
Article in Proceedings of machine learning research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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
3 citing papers in PubMed.
- Expert-Driven Survival Machines: Improving Stratification and Interpretability in Multiple Clinical Cohorts.ACM-BCB ... ... : the ... ACM Conference on Bioinformatics, Computational Biology and Biomedicine. ACM Conference on Bioinformatics, Computational Biology and Biomedicine · 2026Article
- Multi-Modal Deep Clustering Survival Machines for Alzheimer's Disease Subtype Discovery.... IEEE International Conference on Computer Vision workshops. IEEE International Conference on Computer Vision · 2025Article
- Determining the Importance of Clinical Modalities for NeuroDegenerative Disorders and Risk of Patient Injury Using Machine Learning and Survival Analysis.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
As our population ages, the prevalence of Alzheimer's Disease and Related Dementias (ADRD) and its associated burdens continue to rise. Social Determinants of Health (SDOH) significantly influence both ADRD development and progression. Using Electronic Health Records (EHR) from a quaternary care academic medical center in a diverse urban setting, we investigated SDOH's impact on multi-modal deep clustering survival machines. Our findings revealed that SDOH improved model performance across feature selection methods (DeepCox roll-out vs. SHAP DeepExplainer) and EHR clinical modalities (medication vs. laboratory). Additionally, Laboratory features proved more informative than medications for predicting injury-fall risk. Our results highlight SDOH's crucial role in ADRD progression, particularly regarding injury-fall risk. We found that feature importance varied by selection method when analyzing multi-modality EHR data, with education emerging as a key SDOH factor among our top 10 features, underscoring its significance in ADRD progression.
Identifiers
41867912PMC13004619What Socratic 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 Socratic graph.