Unfolding physiological state: mortality modelling in intensive care units

No abstract is available for this paper.

• Publication year

  2014

• Venue

  Knowledge Discovery and Data Mining

• Publication date

  2014-08-01

• Fields of study

  Medicine, Computer Science

• Identifiers
  DOI 10.1145/2623330.2623742PMID 25289175PMCID PMC4185189
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

• A New Severity of Illness Scale Using a Subset of Acute Physiology and Chronic Health Evaluation Data Elements Shows Comparable Predictive Accuracy*

  2013cited by this paper
• Risk Stratification of ICU Patients Using Topic Models Inferred from Unstructured Progress Notes

  2012cited by this paper
• Unsupervised pattern discovery in electronic health care data using probabilistic clustering models

  2012cited by this paper
• Topic Models for Mortality Modeling in Intensive Care Units

  2012cited by this paper
• LIBSVM: A library for support vector machines

  2011influential reference
• Multiparameter Intelligent Monitoring in Intensive Care II: A public-access intensive care unit database*

  2011cited by this paper
• Predicting death: an empirical evaluation of predictive tools for mortality.

  2011cited by this paper
• Clinical Case-based Retrieval Using Latent Topic Analysis.

  2010cited by this paper
• Combining Structured and Free-text Data for Automatic Coding of Patient Outcomes.

  2010cited by this paper
• Latent Dirichlet Allocation

  2009cited by this paper
• ICU Acuity: Real-time Models versus Daily Models

  2009cited by this paper
• Finding scientific topics

  2004cited by this paper
• The SOFA (Sepsis-related Organ Failure Assessment) score to describe organ dysfunction/failure

  1996cited by this paper
• A new Simplified Acute Physiology Score (SAPS II) based on a European/North American multicenter study.

  1993cited by this paper
• A new Simplified Acute Physiology Score (SAPS II) based on a European/North American multicenter study

  1993cited by this paper
• The APACHE III prognostic system. Risk prediction of hospital mortality for critically ill hospitalized adults.

  1991cited by this paper
• On the Specification of Term Values in Automatic Indexing

  1973cited by this paper

• Predicting patient enrollment in a telephone-based principal care management service using topic modeling

  2025cites this paper
• Comparing Text-Based Clinical Risk Prediction in Critical Care: A Note-Specific Hierarchical Network and Large Language Models

  2025cites this paper
• MVAE4EHR: A Multimodal Representation Learning Framework Based on Variational Autoencoder for Mortality Prediction

  2025cites this paper
• Understanding contraceptive switching rationales from real world clinical notes using large language models

  2025influential citation
• A Data-Driven Graph Model Approach to Critical Care Patient Clinical Trajectory Prediction

  2025cites this paper
• Analyzing Information Disparities across Modalities in Mortality Prediction

  2025cites this paper
• "Time-Varying In-Hospital Mortality Prediction with Apache Spark"

  2025cites this paper
• A machine learning model using clinical notes to identify physician fatigue

  2025cites this paper
• An Overview on the Advancements of Support Vector Machine Models in Healthcare Applications: A Review

  2024cites this paper
• Identification of Time-Series Pattern Marker in Its Application to Mortality Analysis of Pneumonia Patients in Intensive Care Unit

  2024cites this paper
• Multimodal fusion network for ICU patient outcome prediction

  2024cites this paper
• FairCognizer: A Model for Accurate Predictions with Inherent Fairness Evaluation (Extended Abstract)

  2024cites this paper
• Toward Realizing the Promise of AI in Precision Health Across the Spectrum of Care.

  2024cites this paper
• Identifying Reasons for Contraceptive Switching from Real-World Data Using Large Language Models

  2024cites this paper
• Revisiting the potential value of vital signs in the real-time prediction of mortality risk in intensive care unit patients

  2024cites this paper
• Clinical Notes Reveal Physician Fatigue

  2023cites this paper
• A New Risk Model Based on the Machine Learning Approach for Prediction of Mortality in the Respiratory Intensive Care Unit.

  2023cites this paper
• ARCH: Large-scale Knowledge Graph via Aggregated Narrative Codified Health Records Analysis

  2023cites this paper
• Attention-based multimodal fusion with contrast for robust clinical prediction in the face of missing modalities

  2023cites this paper
• Thyroidkeeper: a healthcare management system for patients with thyroid diseases

  2023cites this paper
• Prediction of Length-of-stay at Intensive Care Unit (ICU) Using Machine Learning based on MIMIC-III Database

  2023cites this paper
• Improving Text-based Early Prediction by Distillation from Privileged Time-Series Text

  2023cites this paper
• Prediction of ICU Mortality Risk Based on Task-Aware Feature Reconstruction

  2023cites this paper
• DeepCoNet: LSTM Based Detection of Covid19 Using Chest Xray Images

  2023cites this paper
• Multimodal Pretraining of Medical Time Series and Notes

  2023cites this paper
• Predicting future falls in older people using natural language processing of general practitioners’ clinical notes

  2023cites this paper
• Evaluating the Impact of Social Determinants on Health Prediction in the Intensive Care Unit

  2023cites this paper
• Semi-Markov Offline Reinforcement Learning for Healthcare

  2022cites this paper
• Better Understanding of the Metamorphosis of Pregnancy (BUMP): protocol for a digital feasibility study in women from preconception to postpartum

  2022cites this paper
• Write It Like You See It: Detectable Differences in Clinical Notes by Race Lead to Differential Model Recommendations

  2022cites this paper
• Design Simulation and Assessment of Prediction of Mortality in Intensive Care Unit Using Intelligent Algorithms

  2022cites this paper
• Diagnostic accuracy of clinical outcome prediction using nursing data in intensive care patients: A systematic review.

  2022cites this paper
• A Survey on Preserving Fairness Guarantees in Changing Environments

  2022cites this paper
• "Note Bloat" impacts deep learning-based NLP models for clinical prediction tasks

  2022cites this paper
• A Machine Learning Pipeline for Mortality Prediction in the ICU

  2022cites this paper
• COVID-19 Infection Prediction Using Efficient Machine Learning Techniques Based on Clinical Data

  2022cites this paper
• Unstructured clinical notes within the 24 hours since admission predict short, mid & long-term mortality in adult ICU patients

  2022cites this paper
• Dynamic prediction of life-threatening events for patients in intensive care unit

  2022cites this paper
• Detection of common risk factors for diagnosis of cardiac arrhythmia using machine learning algorithm

  2021cites this paper
• A Novel and Reliable Framework of Patient Deterioration Prediction in Intensive Care Unit Based on Long Short-Term Memory-Recurrent Neural Network

  2021cites this paper
• AttDMM: An Attentive Deep Markov Model for Risk Scoring in Intensive Care Units

  2021cites this paper
• Attentive Dual Embedding for Understanding Medical Concept in Electronic Health Record

  2021cites this paper
• Interpretability on clinical analysis from Pattern Disentanglement Insight

  2021cites this paper
• Clinical Notes Mining for Post Discharge Mortality Prediction

  2021cites this paper
• What Do You See in this Patient? Behavioral Testing of Clinical NLP Models

  2021cites this paper
• Analysis and Design Process for Predicting and Controlling Blood Glucose in Type 1 Diabetic Patients: A Requirements Engineering Approach

  2021cites this paper
• Finding Potential Adverse Events in the Unstructured Text of Electronic Health Care Records: Development of the Shakespeare Method

  2021cites this paper
• Machine Learning Approaches for Patient State Prediction in Pediatric ICUs

  2021cites this paper
• CATAN: Chart-aware temporal attention network for adverse outcome prediction

  2021cites this paper
• Disentangling the clinical data chaos: User-centered interface system design for trauma centers

  2021cites this paper
• Expanding the Reach of Structured EHR Data with Clinical Notes Improving End-of-Life Prediction

  2021cites this paper
• Natural Language Processing for Health-Related Texts

  2021cites this paper
• An Evolutionary Belief Rule-Based Clinical Decision Support System to Predict COVID-19 Severity under Uncertainty

  2021cites this paper
• Pulling Up by the Causal Bootstraps: Causal Data Augmentation for Pre-training Debiasing

  2021cites this paper
• Evaluation of clustering and topic modeling methods over health-related tweets and emails

  2021cites this paper
• Natural Brain-Inspired Intelligence for Screening in Healthcare Applications

  2021cites this paper
• Predictive models for colorectal cancer recurrence using multi-modal healthcare data

  2021cites this paper
• Prediction of Mortality in Surgical Intensive Care Unit Patients Using Machine Learning Algorithms

  2021cites this paper
• Patient Outcome and Zero-shot Diagnosis Prediction with Hypernetwork-guided Multitask Learning

  2021cites this paper
• Identifying and Analyzing Health-Related Themes in Disinformation Shared by Conservative and Liberal Russian Trolls on Twitter

  2021cites this paper
• Qualitative Analysis of Depression Models by Demographics

  2021cites this paper
• Visualization of Deep Models on Nursing Notes and Physiological Data for Predicting Health Outcomes Through Temporal Sliding Windows

  2020cites this paper
• Explainable Clinical Decision Support from Text

  2020cites this paper
• Real-time sepsis severity prediction on knowledge graph deep learning networks for the intensive care unit

  2020cites this paper
• Discriminative Features Generation for Mortality Prediction in ICU

  2020cites this paper
• Clinical Predictive Models for COVID-19: Systematic Study

  2020cites this paper
• A Time-Critical Topic Model for Predicting the Survival Time of Sepsis Patients

  2020cites this paper
• Sampling methods and feature selection for mortality prediction with neural networks

  2020cites this paper
• Allocation of Intensive Care Unit Beds in Periods of High Demand

  2020cites this paper
• Coupled Graph Convolutional Neural Networks for Text-Oriented Clinical Diagnosis Inference

  2020cites this paper
• ETM: Enrichment by topic modeling for automated clinical sentence classification to detect patients’ disease history

  2020cites this paper
• Characterizing the Value of Information in Medical Notes

  2020influential citation
• The Role of Context in the Prediction of Acute Hypotension in Critical Care

  2020cites this paper
• predCOVID-19: A Systematic Study of Clinical Predictive Models for Coronavirus Disease 2019

  2020cites this paper
• Dynamically Extracting Outcome-Specific Problem Lists from Clinical Notes with Guided Multi-Headed Attention

  2020cites this paper
• Machine learning analysis of topic modeling re-ranking of clinical records

  2020cites this paper
• Early prediction of circulatory failure in the intensive care unit using machine learning

  2020cites this paper
• Machine Learning for Clinical Outcome Prediction

  2020cites this paper
• Predicting ICU Readmission using Deep Learning

  2020cites this paper
• A Deep Learning Approach to Diagnosing Multiple Sclerosis from Smartphone Data

  2020cites this paper
• Applications of Machine Learning in Healthcare Data Analysis

  2020cites this paper
• Exploiting Text Data to Improve Critical Care Mortality Prediction

  2020cites this paper
• Joint Medical Ontology Representation Learning for Healthcare Predictions

  2020cites this paper
• Comparison of deep learning approaches to predict COVID-19 infection

  2020cites this paper
• Post-Truth AI and Big Data Epistemology: From the Genealogy of Artificial Intelligence to the Nature of Data Science as a New Kind of Science

  2019cites this paper
• Multimodal Ensemble Approach to Incorporate Various Types of Clinical Notes for Predicting Readmission

  2019cites this paper
• Explainable Prediction of Adverse Outcomes Using Clinical Notes

  2019cites this paper
• Knowledge-Aware Deep Dual Networks for Text-Based Mortality Prediction

  2019influential citation
• Towards unstructured mortality prediction with free-text clinical notes

  2019influential citation
• Predictive Multi-level Patient Representations from Electronic Health Records

  2019cites this paper
• Attentive Dual Embedding for Understanding Medical Concepts in Electronic Health Records

  2019cites this paper
• Mathematical Models for Optimisation of Drug Administration in Intensive Care Units

  2019cites this paper
• Utilization of Data Mining for Generalizable, All-Admission Prediction of Inpatient Mortality

  2019influential citation
• Survival prediction in intensive-care units based on aggregation of long-term disease history and acute physiology: a retrospective study of the Danish National Patient Registry and electronic patient records.

  2019cites this paper
• Machine Learning for Clinical Predictive Analytics

  2019cites this paper
• Structure Tree-LSTM: Structure-aware Attentional Document Encoders

  2019cites this paper
• Interpretable Outcome Prediction with Sparse Bayesian Neural Networks in Intensive Care

  2019cites this paper
• Hierarchical Semantic Correspondence Learning for Post-Discharge Patient Mortality Prediction

  2019cites this paper
• Representation Learning for Electronic Health Records

  2019influential citation
• Variables Influencing Machine Learning-Based Cardiac Decision Support System: A Systematic Literature Review

  2019cites this paper