Transformer-based Time-to-Event Prediction for Chronic Kidney Disease Deterioration
Fuente:
arXiv
Saved in:
| Main Authors: | Zisser, Moshe, Aran, Dvir |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
ICU Bloodstream Infection Prediction: A Transformer-Based Approach for EHR Analysis
by: Hirszowicz, Ortal, et al.
Published: (2024)
by: Hirszowicz, Ortal, et al.
Published: (2024)
A Method for Characterizing Disease Progression from Acute Kidney Injury to Chronic Kidney Disease
by: Fang, Yilu, et al.
Published: (2025)
by: Fang, Yilu, et al.
Published: (2025)
From Exact Hits to Close Enough: Semantic Caching for LLM Embeddings
by: Biton, Dvir David, et al.
Published: (2026)
by: Biton, Dvir David, et al.
Published: (2026)
DT-Transformer: A Foundation Model for Disease Trajectory Prediction on a Real-world Health System
by: Zhu, Yunying, et al.
Published: (2026)
by: Zhu, Yunying, et al.
Published: (2026)
TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting
by: Cao, Defu, et al.
Published: (2023)
by: Cao, Defu, et al.
Published: (2023)
Style Classification of Rabbinic Literature for Detection of Lost Midrash Tanhuma Material
by: Tannor, Shlomo, et al.
Published: (2022)
by: Tannor, Shlomo, et al.
Published: (2022)
CoTAR: Chain-of-Thought Attribution Reasoning with Multi-level Granularity
by: Berchansky, Moshe, et al.
Published: (2024)
by: Berchansky, Moshe, et al.
Published: (2024)
SQuARE: Sequential Question Answering Reasoning Engine for Enhanced Chain-of-Thought in Large Language Models
by: Fleischer, Daniel, et al.
Published: (2025)
by: Fleischer, Daniel, et al.
Published: (2025)
Reactive Transformer (RxT) -- Stateful Real-Time Processing for Event-Driven Reactive Language Models
by: Filipek, Adam
Published: (2025)
by: Filipek, Adam
Published: (2025)
DisEmbed: Transforming Disease Understanding through Embeddings
by: Faroz, Salman
Published: (2024)
by: Faroz, Salman
Published: (2024)
Predicting Decisions of AI Agents from Limited Interaction through Text-Tabular Modeling
by: Shapira, Eilam, et al.
Published: (2026)
by: Shapira, Eilam, et al.
Published: (2026)
ChronoSense: Exploring Temporal Understanding in Large Language Models with Time Intervals of Events
by: Islakoglu, Duygu Sezen, et al.
Published: (2025)
by: Islakoglu, Duygu Sezen, et al.
Published: (2025)
On the Role of Context in Reading Time Prediction
by: Opedal, Andreas, et al.
Published: (2024)
by: Opedal, Andreas, et al.
Published: (2024)
Harnessing Event Sensory Data for Error Pattern Prediction in Vehicles: A Language Model Approach
by: Math, Hugo, et al.
Published: (2024)
by: Math, Hugo, et al.
Published: (2024)
Learning Novel Transformer Architecture for Time-series Forecasting
by: Zhang, Juyuan, et al.
Published: (2025)
by: Zhang, Juyuan, et al.
Published: (2025)
Metadata Matters for Time Series: Informative Forecasting with Transformers
by: Dong, Jiaxiang, et al.
Published: (2024)
by: Dong, Jiaxiang, et al.
Published: (2024)
Can LLMs Replace Economic Choice Prediction Labs? The Case of Language-based Persuasion Games
by: Shapira, Eilam, et al.
Published: (2024)
by: Shapira, Eilam, et al.
Published: (2024)
Text2TimeSeries: Enhancing Financial Forecasting through Time Series Prediction Updates with Event-Driven Insights from Large Language Models
by: Kurisinkel, Litton Jose, et al.
Published: (2024)
by: Kurisinkel, Litton Jose, et al.
Published: (2024)
Rationalizing Transformer Predictions via End-To-End Differentiable Self-Training
by: Brinner, Marc, et al.
Published: (2025)
by: Brinner, Marc, et al.
Published: (2025)
Training Large Language Models to Predict Clinical Events
by: Turtel, Benjamin, et al.
Published: (2026)
by: Turtel, Benjamin, et al.
Published: (2026)
Sparse Transformer with Local and Seasonal Adaptation for Multivariate Time Series Forecasting
by: Zhang, Yifan, et al.
Published: (2023)
by: Zhang, Yifan, et al.
Published: (2023)
RAG Foundry: A Framework for Enhancing LLMs for Retrieval Augmented Generation
by: Fleischer, Daniel, et al.
Published: (2024)
by: Fleischer, Daniel, et al.
Published: (2024)
Towards More Accurate Prediction of Human Empathy and Emotion in Text and Multi-turn Conversations by Combining Advanced NLP, Transformers-based Networks, and Linguistic Methodologies
by: Singh, Manisha, et al.
Published: (2024)
by: Singh, Manisha, et al.
Published: (2024)
A Weakly Supervised Transformer for Rare Disease Diagnosis and Subphenotyping from EHRs with Pulmonary Case Studies
by: Greco, Kimberly F., et al.
Published: (2025)
by: Greco, Kimberly F., et al.
Published: (2025)
The Impact of Quantization on the Robustness of Transformer-based Text Classifiers
by: Neshaei, Seyed Parsa, et al.
Published: (2024)
by: Neshaei, Seyed Parsa, et al.
Published: (2024)
Extracting Rule-based Descriptions of Attention Features in Transformers
by: Friedman, Dan, et al.
Published: (2025)
by: Friedman, Dan, et al.
Published: (2025)
An Ensemble Classification Approach in A Multi-Layered Large Language Model Framework for Disease Prediction
by: Hamdi, Ali, et al.
Published: (2025)
by: Hamdi, Ali, et al.
Published: (2025)
A Short Survey of Human Mobility Prediction in Epidemic Modeling from Transformers to LLMs
by: Mayemba, Christian N., et al.
Published: (2024)
by: Mayemba, Christian N., et al.
Published: (2024)
Event2Vec: A Geometric Approach to Learning Composable Representations of Event Sequences
by: Sulc, Antonin
Published: (2025)
by: Sulc, Antonin
Published: (2025)
Exploring Gender Differences in Chronic Pain Discussions on Reddit
by: Andrade, Ancita Maria, et al.
Published: (2025)
by: Andrade, Ancita Maria, et al.
Published: (2025)
SAP: Syntactic Attention Pruning for Transformer-based Language Models
by: Lee, Tzu-Yun, et al.
Published: (2025)
by: Lee, Tzu-Yun, et al.
Published: (2025)
Development of Pre-Trained Transformer-based Models for the Nepali Language
by: Thapa, Prajwal, et al.
Published: (2024)
by: Thapa, Prajwal, et al.
Published: (2024)
Wisdom of the Crowds in Forecasting: Forecast Summarization for Supporting Future Event Prediction
by: Saha, Anisha, et al.
Published: (2025)
by: Saha, Anisha, et al.
Published: (2025)
Accelerating LLM Inference with Lossless Speculative Decoding Algorithms for Heterogeneous Vocabularies
by: Timor, Nadav, et al.
Published: (2025)
by: Timor, Nadav, et al.
Published: (2025)
AMPLIFY:Attention-based Mixup for Performance Improvement and Label Smoothing in Transformer
by: Yang, Leixin, et al.
Published: (2023)
by: Yang, Leixin, et al.
Published: (2023)
Flexible Language Modeling in Continuous Space with Transformer-based Autoregressive Flows
by: Zhang, Ruixiang, et al.
Published: (2025)
by: Zhang, Ruixiang, et al.
Published: (2025)
Bangla Grammatical Error Detection Leveraging Transformer-based Token Classification
by: Islam, Shayekh Bin, et al.
Published: (2024)
by: Islam, Shayekh Bin, et al.
Published: (2024)
Automatic Pruning of Fine-tuning Datasets for Transformer-based Language Models
by: Tayaranian, Mohammadreza, et al.
Published: (2024)
by: Tayaranian, Mohammadreza, et al.
Published: (2024)
ESQA: Event Sequences Question Answering
by: Abdullaeva, Irina, et al.
Published: (2024)
by: Abdullaeva, Irina, et al.
Published: (2024)
Hysteresis Activation Function for Efficient Inference
by: Kimhi, Moshe, et al.
Published: (2024)
by: Kimhi, Moshe, et al.
Published: (2024)
Similar Items
-
ICU Bloodstream Infection Prediction: A Transformer-Based Approach for EHR Analysis
by: Hirszowicz, Ortal, et al.
Published: (2024) -
A Method for Characterizing Disease Progression from Acute Kidney Injury to Chronic Kidney Disease
by: Fang, Yilu, et al.
Published: (2025) -
From Exact Hits to Close Enough: Semantic Caching for LLM Embeddings
by: Biton, Dvir David, et al.
Published: (2026) -
DT-Transformer: A Foundation Model for Disease Trajectory Prediction on a Real-world Health System
by: Zhu, Yunying, et al.
Published: (2026) -
TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting
by: Cao, Defu, et al.
Published: (2023)