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Human‐in‐the‐loop machine learning for healthcare: Current progress and future opportunities in electronic health records

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What this work says

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

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A survey of human-in-the-loop for machine learning

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Deep learning for temporal data representation in electronic health records: A systematic review of challenges and methodologies

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Clinical domain knowledge-derived template improves post hoc AI explanations in pneumothorax classification

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Shifting machine learning for healthcare from development to deployment and from models to data

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Bias and fairness assessment of a natural language processing opioid misuse classifier: detection and mitigation of electronic health record data disadvantages across racial subgroups

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Optimal medication dosing from suboptimal clinical examples: A deep reinforcement learning approach

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A Hybrid Density-Based Outlier Detection Model for Privacy in Electronic Patient Record system

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Interactive online learning for clinical entity recognition

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A Human-in-the-loop Attribute Design Framework for Classification

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PACE: Learning Effective Task Decomposition for Human-in-the-loop Healthcare Delivery

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Big data preprocessing: methods and prospects

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A method for rapid machine learning development for data mining with doctor-in-the-loop

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Web-Based Application Based on Human-in-the-Loop Deep Learning for Deidentifying Free-Text Data in Electronic Medical Records: Development and Usability Study

inferredcites →https://doi.org/10.3389/fdgth.2023.1249835openalex-snapshot

Assessing the utility of deep neural networks in detecting superficial surgical site infections from free text electronic health record data

What points at this work

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

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Leveraging anatomical constraints with uncertainty for pneumothorax segmentation

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Rethinking Domain‐Specific Pretraining by Supervised or Self‐Supervised Learning for Chest Radiograph Classification: A Comparative Study Against ImageNet Counterparts in Cold‐Start Active Learning

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Anatomic Boundary‐Aware Explanation for Convolutional Neural Networks in Diagnostic Radiology

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Natural Language Processing for Chest X‐Ray Reports in the Transformer Era: BERT‐Like Encoders for Comprehension and GPT‐Like Decoders for Generation

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Agentic Large Language Models for Healthcare: Current Progress and Future Opportunities

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Overcoming Computational Resource Limitations in Deep Learning for Healthcare: Strategies Targeting Data, Model, and Computing

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Neuro-Symbolic AI in Healthcare

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Application of Human-Machine Collaborative Reinforcement Learning in Dynamic Management of Oral Anti-Obesity Drug Therapy

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