Copertina

Computing patient similarity based on unstructured clinical notes

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Zelina, Petr, Řeháček, Marko, Halámková, Jana, Bohovicová, Lucia, Rusinko, Martin, Nováček, Vít
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Benchmark-Driven Selection of AI: Evidence from DeepSeek-R1
di: Spelda, Petr, et al.
Pubblicazione: (2025)

Multidimensional unstructured sparse recovery via eigenmatrix
di: Ying, Lexing
Pubblicazione: (2024)

A General Constructive Upper Bound on Shallow Neural Nets Complexity
di: Hakl, Frantisek, et al.
Pubblicazione: (2025)

Eigenmatrix for unstructured sparse recovery
di: Ying, Lexing
Pubblicazione: (2023)

Early detection of inflammatory arthritis to improve referrals using multimodal machine learning from blood testing, semi-structured and unstructured patient records
di: Wang, Bing, et al.
Pubblicazione: (2023)

Machine learning approaches to seismic event classification in the Ostrava region
di: Pecha, Marek, et al.
Pubblicazione: (2025)

LPGD: A General Framework for Backpropagation through Embedded Optimization Layers
di: Paulus, Anselm, et al.
Pubblicazione: (2024)

Dendrochernes cyrneus
di: Christophoryová, Jana, et al.
Pubblicazione: (2025)

SNOBERT: A Benchmark for clinical notes entity linking in the SNOMED CT clinical terminology
di: Kulyabin, Mikhail, et al.
Pubblicazione: (2024)

Optimizing Rank-based Metrics with Blackbox Differentiation
di: Rolínek, Michal, et al.
Pubblicazione: (2019)

Spatio-spectral graph neural operator for solving computational mechanics problems on irregular domain and unstructured grid
di: Sarkar, Subhankar, et al.
Pubblicazione: (2024)

Generalizable data-driven turbulence closure modeling on unstructured grids with differentiable physics
di: Kim, Hojin, et al.
Pubblicazione: (2023)

Intelligent machines work in unstructured environments by differential neuromorphic computing
di: Wang, Shengbo, et al.
Pubblicazione: (2023)

Learning Heat-based Equations in Self-similar variables
di: Wang, Shihao, et al.
Pubblicazione: (2026)

Lookahead Path Likelihood Optimization for Diffusion LLMs
di: Liu, Xuejie, et al.
Pubblicazione: (2026)

Analysing zero-shot temporal relation extraction on clinical notes using temporal consistency
di: Kougia, Vasiliki, et al.
Pubblicazione: (2024)

Predicting one-year clinical instability and mortality in heart failure patients using sequence modeling
di: Dippel, Falk, et al.
Pubblicazione: (2025)

Prediction of 30-day hospital readmission with clinical notes and EHR information
di: Almeida, Tiago, et al.
Pubblicazione: (2025)

Differentiation of Blackbox Combinatorial Solvers
di: Vlastelica, Marin, et al.
Pubblicazione: (2019)

CombOptNet: Fit the Right NP-Hard Problem by Learning Integer Programming Constraints
di: Paulus, Anselm, et al.
Pubblicazione: (2021)

Semantic similarity prediction is better than other semantic similarity measures
di: Herbold, Steffen
Pubblicazione: (2023)

DCSI -- An improved measure of cluster separability based on separation and connectedness
di: Gauss, Jana, et al.
Pubblicazione: (2023)

FluidFlow: a flow-matching generative model for fluid dynamics surrogates on unstructured meshes
di: Ramos, David, et al.
Pubblicazione: (2026)

Conflicting Biases at the Edge of Stability: Norm versus Sharpness Regularization
di: Matveev, Maria, et al.
Pubblicazione: (2025)

Self-similarity Analysis in Deep Neural Networks
di: Ding, Jingyi, et al.
Pubblicazione: (2025)

Optimizing Methane Detection On Board Satellites: Speed, Accuracy, and Low-Power Solutions for Resource-Constrained Hardware
di: Herec, Jonáš, et al.
Pubblicazione: (2025)

Rethinking external validation for the target population: Capturing patient-level similarity with a generative model
di: Azizmalayeri, Mohammad, et al.
Pubblicazione: (2026)

Evidence-based anomaly detection in clinical domains
di: Hauskrecht, Milos, et al.
Pubblicazione: (2026)

Beyond Linearity in Attention Projections: The Case for Nonlinear Queries
di: Karbevski, Marko
Pubblicazione: (2026)

Can an MLP Absorb Its Own Skip Connection?
di: Mijoski, Antonij, et al.
Pubblicazione: (2026)

Deep Graph Matching via Blackbox Differentiation of Combinatorial Solvers
di: Rolínek, Michal, et al.
Pubblicazione: (2020)

Computability of Classification and Deep Learning: From Theoretical Limits to Practical Feasibility through Quantization
di: Boche, Holger, et al.
Pubblicazione: (2024)

Generative clinical time series models trained on moderate amounts of patient data are privacy preserving
di: Zhumagambetov, Rustam, et al.
Pubblicazione: (2026)

SoftJAX & SoftTorch: Empowering Automatic Differentiation Libraries with Informative Gradients
di: Paulus, Anselm, et al.
Pubblicazione: (2026)

Backpropagation through Combinatorial Algorithms: Identity with Projection Works
di: Sahoo, Subham Sekhar, et al.
Pubblicazione: (2022)

TransforMerger: Transformer-based Voice-Gesture Fusion for Robust Human-Robot Communication
di: Vanc, Petr, et al.
Pubblicazione: (2025)

Unsupervised categorization of similarity measures
di: Ohmura, Yoshiyuki, et al.
Pubblicazione: (2025)

Advancing multivariate time series similarity assessment: an integrated computational approach
di: Tonle, Franck, et al.
Pubblicazione: (2024)

Generalization analysis with deep ReLU networks for metric and similarity learning
di: Zhou, Junyu, et al.
Pubblicazione: (2024)

On the effects of similarity metrics in decentralized deep learning under distributional shift
di: Zec, Edvin Listo, et al.
Pubblicazione: (2024)