On-device research index

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.

168,742 papers · 148 categories

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6 results for “co-morbidities”

Patient-Specific Models of Treatment Effects Explain Heterogeneity in Tuberculosiscs.LG

Personalized models explain TB treatment outcomes considering patient context.

problem Heterogeneity in TB treatment outcomes due to co-morbidities.

method Multi-task learning approach encoding patient context into personalized models.

result Identifies anemia, age of onset, and HIV as influential for treatment efficacy.

TB personalized medicine co-morbidities heterogeneity multi-task learning

2024-11-16abs ↗pdf ↗

Optimal Transport Guided Unsupervised Learning for Enhancing low-quality Retinal Imageseess.IV

Paper proposes a method to enhance low-quality retinal images using optimal transport.

problem Artifacts and imperfections in retinal images lead to diagnostic inaccuracies.

method Leveraging optimal transport theory, an unpaired image-to-image translation scheme is proposed.

result The method improves perceptually and quantitatively the quality of low-quality retinal images.

retinal imaging image enhancement optimal transport GAN image-to-image translation

2023-02-06abs ↗pdf ↗

Learning Dynamic and Personalized Comorbidity Networks from Event Data using Deep Diffusion Processescs.LG

DDP models dynamic comorbidity networks from event data.

problem Understanding complex temporal patterns of co-occurring diseases.

method Developed deep diffusion processes (DDP) to model dynamic comorbidity networks.

result DDP enables accurate risk prediction and interpretable disease trajectories.

comorbidity networks deep diffusion processes dynamic graphs event data temporal patterns

2020-01-08abs ↗pdf ↗

Fast Online Value-Maximizing Prediction Sets with Conformal Cost Controlcs.LG

FavMac maximizes value while controlling cost in multi-label prediction.

problem Value-maximizing predictions with strict cost control in multi-label scenarios.

method FavMac pipeline combining any multi-label classifier with online update mechanism.

result FavMac achieves higher value with strict cost control compared to baselines.

value maximization cost control multi-label prediction online update distribution-free guarantees

2023-02-02abs ↗pdf ↗

A Computer-Aided System for Determining the Application Range of a Warfarin Clinical Dosing Algorithm Using Support Vector Machines with a Polynomial Kernel Functioncs.LG

Determining the optimal initial dose for warfarin is a critically important task. Several factors have an impact on the therapeutic dose for individual patients, such as patients' physical attributes (Age, Height, etc.), medication profile, co-morbidities, and metabolic genotypes (CYP2C9 and VKORC1). These wide range f…

2019-03-21abs ↗pdf ↗

Development and Validation of a Deep Learning Model for Prediction of Severe Outcomes in Suspected COVID-19 Infectioncs.LG

Deep learning model predicts severe COVID-19 outcomes.

problem Predicting severe COVID-19 outcomes in ED patients.

method Deep feature fusion model using EHR data and CXR images.

result CO-RISK score achieved AUC of 0.95 and 0.92 for 24 and 72 hours predictions, superior to human performance.

deep learning COVID-19 triaging predictive modeling emergency department

2021-03-21abs ↗pdf ↗