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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,982 papers · 148 categories

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3 results for “Sub-phenotypes”

Identifying Sub-Phenotypes of Acute Kidney Injury using Structured and Unstructured Electronic Health Record Data with Memory Networkscs.LG

Study identifies three sub-phenotypes of AKI with different severity.

problem Tackles the heterogeneity of AKI to improve targeted interventions.

method Used a memory network-based deep learning approach on EHR data.

result Identified three distinct sub-phenotypes of AKI with varying severity.

AKI sub-phenotypes Electronic Health Records Memory Networks Deep Learning Heterogeneous AKI

2019-04-10abs ↗pdf ↗

Using Latent Class Analysis to Identify ARDS Sub-phenotypes for Enhanced Machine Learning Predictive Performancecs.LG

Study uses LCA to identify ARDS sub-phenotypes improving predictive models.

problem Complex and heterogeneous nature of ARDS makes early recognition difficult.

method Applied latent class analysis to identify sub-groups, then built predictive models.

result Significantly improved prediction performance for two sub-phenotypes of ARDS.

ARDS Latent Class Analysis Machine Learning Predictive Models Sub-phenotypes

2019-03-28abs ↗pdf ↗

Enhancing Phenotype Discovery in Electronic Health Records through Prior Knowledge-Guided Unsupervised Learningstat.AP

Bayesian model enhances phenotype discovery in asthma EHRs.

problem Lack of interpretability in unsupervised learning phenotyping of EHR data.

method Operationalized a Bayesian latent class framework with clinical knowledge priors.

result Identified an asthma sub-phenotype with elevated eosinophil levels and allergy markers.

phenotype discovery electronic health records unsupervised learning Bayesian latent class T2 inflammation

2025-11-03abs ↗pdf ↗