mlsanityData to 7 Oct 2026

Improving Palliative Care with Deep Learning

arXiv 1711.06402 ↗First posted 17 Nov 2017cs.CY cs.LG stat.MLcited by 28

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Abstract (arXiv)

Improving the quality of end-of-life care for hospitalized patients is a priority for healthcare organizations. Studies have shown that physicians tend to over-estimate prognoses, which in combination with treatment inertia results in a mismatch between patients wishes and actual care at the end of life. We describe a method to address this problem using Deep Learning and Electronic Health Record (EHR) data, which is currently being piloted, with Institutional Review Board approval, at an academic medical center. The EHR data of admitted patients are automatically evaluated by an algorithm, which brings patients who are likely to benefit from palliative care services to the attention of the Palliative Care team. The algorithm is a Deep Neural Network trained on the EHR data from previous years, to predict all-cause 3-12 month mortality of patients as a proxy for patients that could benefit from palliative care. Our predictions enable the Palliative Care team to take a proactive approach in reaching out to such patients, rather than relying on referrals from treating physicians, or conduct time consuming chart reviews of all patients. We also present a novel interpretation technique which we use to provide explanations of the model's predictions.

Key facts. Cited by 28 papers in the map (data through 7 Oct 2026). First posted on arXiv 17 Nov 2017.

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Citing papers per year: 2021: 10; 2022: 11; 2023: 2; 2024: 4; 2025: 1.

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  1. 2022TabLLM: Few-shot Classification of Tabular Data with Large Language Modelscited by 273
  2. 2023MOTOR: A Time-To-Event Foundation Model For Structured Medical Recordscited by 75
  3. 2021Time Series Prediction using Deep Learning Methods in Healthcarecited by 71
  4. 2021Towards BERT-based Automatic ICD Coding: Limitations and Opportunitiescited by 25
  5. 2024Reasoning before Comparison: LLM-Enhanced Semantic Similarity Metrics for Domain Specialized Text Analysiscited by 21
  6. 2022Hopular: Modern Hopfield Networks for Tabular Datacited by 18
  7. 2022The impact of feature importance methods on the interpretation of defect classifierscited by 12
  8. 2022ICDBigBird: A Contextual Embedding Model for ICD Code Classificationcited by 10
  9. 2021An Explainable CNN Approach for Medical Codes Prediction from Clinical Textcited by 9
  10. 2022Instance-Based Uncertainty Estimation for Gradient-Boosted Regression Treescited by 9
  11. 2022Random Noise vs State-of-the-Art Probabilistic Forecasting Methods : A Case Study on CRPS-Sum Discrimination Abilitycited by 7
  12. 2021Constrained Differentially Private Federated Learning for Low-bandwidth Devicescited by 6
16 more
  1. 2022Hierarchical BERT for Medical Document Understandingcited by 4
  2. 2022Breaking Bad News in the Era of Artificial Intelligence and Algorithmic Medicine: An Exploration of Disclosure and its Ethical Justification using the Hedonic Calculuscited by 4
  3. 2021Medical Code Prediction from Discharge Summary: Document to Sequence BERT using Sequence Attentioncited by 3
  4. 2022HieNet: Bidirectional Hierarchy Framework for Automated ICD Codingcited by 3
  5. 2021Combining Image Features and Patient Metadata to Enhance Transfer Learningcited by 2
  6. 2021Enhancing Human-Machine Teaming for Medical Prognosis Through Neural Ordinary Differential Equations (NODEs)cited by 1
  7. 2021Few-Shot Electronic Health Record Coding through Graph Contrastive Learningcited by 1
  8. 2022Avoiding Biased Clinical Machine Learning Model Performance Estimates in the Presence of Label Selectioncited by 1
  9. 2024VAEneu: A New Avenue for VAE Application on Probabilistic Forecastingcited by 1
  10. 2021SANSformers: Self-Supervised Forecasting in Electronic Health Records with Attention-Free Modelscited by 0
  11. 2021Enhanced Transfer Learning Through Medical Imaging and Patient Demographic Data Fusioncited by 0
  12. 2022Deep Learning for Epidemiologists: An Introduction to Neural Networkscited by 0
  13. 2023Interpretable Water Level Forecaster with Spatiotemporal Causal Attention Mechanismscited by 0
  14. 2024TripleSurv: Triplet Time-adaptive Coordinate Loss for Survival Analysiscited by 0
  15. 2024Prediction and Detection of Terminal Diseases Using Internet of Medical Things: A Reviewcited by 0
  16. 2025Balancing Efficiency and Empathy: Healthcare Providers' Perspectives on AI-Supported Workflows for Serious Illness Conversations in the Emergency Departmentcited by 0