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Marrying Medical Domain Knowledge With Deep Learning on Electronic Health Records: A Deep Visual Analytics Approach

https://doi.org/10.2196/20645

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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DeepCare: A Deep Dynamic Memory Model for Predictive Medicine

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Mining and exploring care pathways from electronic medical records with visual analytics

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Leveraging uncertainty information from deep neural networks for disease detection

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Recurrent Neural Networks for Multivariate Time Series with Missing Values

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Scalable and accurate deep learning with electronic health records

inferredcites →https://doi.org/10.1038/sdata.2016.35openalex-snapshot

MIMIC-III, a freely accessible critical care database

inferredcites →https://doi.org/10.1057/palgrave.ivs.9500061openalex-snapshot

Dynamic Query Tools for Time Series Data Sets: Timebox Widgets for Interactive Exploration

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Predictive modeling in urgent care: a comparative study of machine learning approaches

inferredcites →https://doi.org/10.1109/bigdata47090.2019.9005687openalex-snapshot

Visual Anomaly Detection in Event Sequence Data

inferredcites →https://doi.org/10.1109/icdm.2016.0086openalex-snapshot

Measuring Patient Similarities via a Deep Architecture with Medical Concept Embedding

inferredcites →https://doi.org/10.1109/icdm.2019.00084openalex-snapshot

Domain Knowledge Guided Deep Learning with Electronic Health Records

inferredcites →https://doi.org/10.1109/tvcg.2010.162openalex-snapshot

Graphical Perception of Multiple Time Series

inferredcites →https://doi.org/10.1109/tvcg.2013.89openalex-snapshot

The Five Ws for Information Visualization with Application to Healthcare Informatics

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TimeSpan: Using Visualization to Explore Temporal Multi-dimensional Data of Stroke Patients

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Using Dashboard Networks to Visualize Multiple Patient Histories: A Design Study on Post-Operative Prostate Cancer

inferredcites →https://doi.org/10.1109/tvcg.2018.2865027openalex-snapshot

RetainVis: Visual Analytics with Interpretable and Interactive Recurrent Neural Networks on Electronic Medical Records

inferredcites →https://doi.org/10.1111/j.1475-3995.2010.00767.xopenalex-snapshot

Operations Research in Healthcare: a survey

inferredcites →https://doi.org/10.1145/2501511.2501518openalex-snapshot

Lytic

inferredcites →https://doi.org/10.1145/2783258.2783365openalex-snapshot

Deep Computational Phenotyping

inferredcites →https://doi.org/10.1145/3097983.3097997openalex-snapshot

Patient Subtyping via Time-Aware LSTM Networks

inferredcites →https://doi.org/10.1145/3097983.3098088openalex-snapshot

Dipole

inferredcites →https://doi.org/10.1145/3097983.3098126openalex-snapshot

GRAM

inferredcites →https://doi.org/10.1145/3269206.3271701openalex-snapshot

KAME

inferredcites →https://doi.org/10.1162/neco.1997.9.8.1735openalex-snapshot

Long Short-Term Memory

inferredcites →https://doi.org/10.1186/s12859-015-0549-5openalex-snapshot

KnowLife: a versatile approach for constructing a large knowledge graph for biomedical sciences

inferredcites →https://doi.org/10.1186/s12911-016-0256-9openalex-snapshot

A web-based data visualization tool for the MIMIC-II database

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Uncertainty

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Development of a Real-Time Risk Prediction Model for In-Hospital Cardiac Arrest in Critically Ill Patients Using Deep Learning: Retrospective Study

inferredcites →https://doi.org/10.2196/publichealth.9361openalex-snapshot

Clinical Relation Extraction Toward Drug Safety Surveillance Using Electronic Health Record Narratives: Classical Learning Versus Deep Learning

inferredcites →https://doi.org/10.2312/eurovisstar.20141172openalex-snapshot

A Survey on Interactive Lenses in Visualization

inferredcites →https://doi.org/10.24963/ijcai.2018/643openalex-snapshot

Commonsense Knowledge Aware Conversation Generation with Graph Attention

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On the Properties of Neural Machine Translation: Encoder–Decoder Approaches

inferredcites →https://doi.org/10.4135/9781483349985.n182openalex-snapshot

Healthcare Cost and Utilization Project (HCUP)

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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IKDP: Implicit Knowledge Enhanced Disease Prediction via heterogeneous admission sequence graphs

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Knowledge-guided 2.5D CNN for cerebral microbleeds detection

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Recent advancements and applications of deep learning in heart failure: Α systematic review

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Intelligent systems in healthcare: A systematic survey of explainable user interfaces

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Chinese named entity recognition method for the finance domain based on enhanced features and pretrained language models

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Interpretable Disease Prediction via Path Reasoning over medical knowledge graphs and admission history

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Enhancing ophthalmology medical record management with multi-modal knowledge graphs

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Rise of the Machines: Artificial Intelligence and the Clinical Laboratory

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Using similar patients to predict complication in patients with diabetes, hypertension, and lipid disorder: a domain knowledge-infused convolutional neural network approach

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TrajVis: a visual clinical decision support system to translate artificial intelligence trajectory models in the precision management of chronic kidney disease

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Visual Analytics for Explainable AI with Spatio-Temporal Data: A Comparative Study

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User-Centric Explainability in Healthcare: A Knowledge-Level Perspective of Informed Machine Learning

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OM4AnI: A Novel Overlap Measure for Anomaly Identification in Multi-Class Scatterplots

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State of the Art of Visual Analytics for eXplainable Deep Learning

inferred← citeshttps://doi.org/10.1111/cgf.14859openalex-snapshot

VA + Embeddings STAR: A State‐of‐the‐Art Report on the Use of Embeddings in Visual Analytics

inferred← citeshttps://doi.org/10.1145/3564275openalex-snapshot

MediCoSpace : Visual Decision-Support for Doctor-Patient Consultations using Medical Concept Spaces from EHRs

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Conditional Generative Models for Synthetic Tabular Data: Applications for Precision Medicine and Diverse Representations

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Strategies for evaluating visual analytics systems: A systematic review and new perspectives

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Patient similarity analytics for explainable clinical risk prediction

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Causal Economic Machine Learning (CEML)

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Patient Similarity Analytics for Explainable Clinical Risk Prediction

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Constructing High-Fidelity Phenotype Knowledge Graphs for Infectious Diseases With a Fine-Grained Semantic Information Model: Development and Usability Study

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COVID-19 Knowledge Resource Categorization and Tracking: Conceptual Framework Study

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Twenty-Five Years of Evolution and Hurdles in Electronic Health Records and Interoperability in Medical Research: Comprehensive Review

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mindLAMPVis as a Co-Designed Clinician-Facing Data Visualization Portal to Integrate Clinical Observations From Digital Phenotyping in Schizophrenia: User-Centered Design Process and Pilot Implementation

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mindLAMPVis: A Co-Designed Data Visualization Portal to Integrate Clinical Observations from Digital Phenotyping in Schizophrenia (Preprint)

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Semantic Reasoning Using Standard Attention-Based Models: An Application to Chronic Disease Literature

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Beyond the List: A Framework for the Design of Next-Generation MEDLINE Search Tools

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Integrating Domain Knowledge into Deep Learning for Skin Lesion Risk Prioritization to Assist Teledermatology Referral

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DeepBiomarker2: Prediction of Alcohol and Substance Use Disorder Risk in Post-Traumatic Stress Disorder Patients Using Electronic Medical Records and Multiple Social Determinants of Health

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A Review of Evaluation Approaches for Explainable AI With Applications in Cardiology

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A Review of Evaluation Approaches for Explainable AI With Applications in Cardiology

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Common Sense Knowledge Learning for Open Vocabulary Neural Reasoning: A First View into Chronic Disease Literature

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Additional file 1 of Patient similarity analytics for explainable clinical risk prediction

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