mlsanityData to 14 Oct 2026

Natural Language Processing for Smart Healthcare

arXiv 2110.15803 ↗First posted 19 Oct 2021cs.CL cs.AIcited by 14

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Abstract (arXiv)

Smart healthcare has achieved significant progress in recent years. Emerging artificial intelligence (AI) technologies enable various smart applications across various healthcare scenarios. As an essential technology powered by AI, natural language processing (NLP) plays a key role in smart healthcare due to its capability of analysing and understanding human language. In this work, we review existing studies that concern NLP for smart healthcare from the perspectives of technique and application. We first elaborate on different NLP approaches and the NLP pipeline for smart healthcare from the technical point of view. Then, in the context of smart healthcare applications employing NLP techniques, we introduce representative smart healthcare scenarios, including clinical practice, hospital management, personal care, public health, and drug development. We further discuss two specific medical issues, i.e., the coronavirus disease 2019 (COVID-19) pandemic and mental health, in which NLP-driven smart healthcare plays an important role. Finally, we discuss the limitations of current works and identify the directions for future works.

Key facts. Cited by 14 papers in the map (data through 14 Oct 2026). Builds on 49 of its 248 references that are in the map. First posted on arXiv 19 Oct 2021.

Builds on

49 of 248 references.

References · 49

  1. 2019BioBERT: a pre-trained biomedical language representation model for biomedical text miningcited by 1,947
  2. 2020Self-supervised Learning: Generative or Contrastivecited by 694
  3. 2020Pre-trained Models for Natural Language Processing: A Surveycited by 505
  4. 2019ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmissioncited by 493
  5. 2020Med-BERT: pre-trained contextualized embeddings on large-scale structured electronic health records for disease predictioncited by 373
  6. 2016RETAIN: An Interpretable Predictive Model for Healthcare using Reverse Time Attention Mechanismcited by 349
  7. 2018Scalable and accurate deep learning for electronic health recordscited by 280
  8. 2017Recent Trends in Deep Learning Based Natural Language Processingcited by 263
  9. 2019BEHRT: Transformer for Electronic Health Recordscited by 263
  10. 2021Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyondcited by 178
  11. 2019Learning the Graphical Structure of Electronic Health Records with Graph Convolutional Transformercited by 88
  12. 2019Text-to-SQL Generation for Question Answering on Electronic Medical Recordscited by 77
37 more
  1. 2021Medically Aware GPT-3 as a Data Generator for Medical Dialogue Summarizationcited by 76
  2. 2019End-to-End Knowledge-Routed Relational Dialogue System for Automatic Diagnosiscited by 70
  3. 2019Understanding the Behaviors of BERT in Rankingcited by 49
  4. 2019Probing Biomedical Embeddings from Language Modelscited by 39
  5. 2018Clinical Concept Embeddings Learned from Massive Sources of Multimodal Medical Datacited by 35
  6. 2019A Survey on Biomedical Image Captioningcited by 30
  7. 2021Semi-Supervised Variational Reasoning for Medical Dialogue Generationcited by 30
  8. 2019Improving Grounded Natural Language Understanding through Human-Robot Dialogcited by 25
  9. 2020Exploring Chemical Space using Natural Language Processing Methodologies for Drug Discoverycited by 24
  10. 2020Graph-Evolving Meta-Learning for Low-Resource Medical Dialogue Generationcited by 24
  11. 2016Bidirectional Recurrent Neural Networks for Medical Event Detection in Electronic Health Recordscited by 20
  12. 2017Medical Text Classification using Convolutional Neural Networkscited by 19
  13. 2017Speech recognition for medical conversationscited by 18
  14. 2014A Review of Verbal and Non-Verbal Human-Robot Interactive Communicationcited by 16
  15. 2020Spoken Language Interaction with Robots: Research Issues and Recommendations, Report from the NSF Future Directions Workshopcited by 15
  16. 2020On the Generation of Medical Dialogues for COVID-19cited by 12
  17. 2018Medical Concept Embedding with Time-Aware Attentioncited by 11
  18. 2018Making effective use of healthcare data using data-to-text technologycited by 9
  19. 2019Biomedical relation extraction with pre-trained language representations and minimal task-specific architecturecited by 8
  20. 2021TF-IDF vs Word Embeddings for Morbidity Identification in Clinical Notes: An Initial Studycited by 8
  21. 2020A Multilingual Neural Machine Translation Model for Biomedical Datacited by 7
  22. 2018On the Generation of Medical Question-Answer Pairscited by 6
  23. 2020HHH: An Online Medical Chatbot System based on Knowledge Graph and Hierarchical Bi-Directional Attentioncited by 6
  24. 2017Bringing Semantic Structures to User Intent Detection in Online Medical Queriescited by 5
  25. 2017Identifying Patterns of Associated-Conditions through Topic Models of Electronic Medical Recordscited by 5
  26. 2018Machine Translation: A Literature Reviewcited by 5
  27. 2015Neural-based machine translation for medical text domain. Based on European Medicines Agency leaflet textscited by 4
  28. 2018CLINIQA: A Machine Intelligence Based Clinical Question Answering Systemcited by 4
  29. 2021Word-level Text Highlighting of Medical Texts for Telehealth Servicescited by 4
  30. 2016The Benefits of Word Embeddings Features for Active Learning in Clinical Information Extractioncited by 3
  31. 2018A Fast Deep Learning Model for Textual Relevance in Biomedical Information Retrievalcited by 3
  32. 2019The Virtual Doctor: An Interactive Artificial Intelligence based on Deep Learning for Non-Invasive Prediction of Diabetescited by 3
  33. 2018Natural language understanding for task oriented dialog in the biomedical domain in a low resources contextcited by 2
  34. 2021Pre-training transformer-based framework on large-scale pediatric claims data for downstream population-specific taskscited by 2
  35. 2019Explicit-Blurred Memory Network for Analyzing Patient Electronic Health Recordscited by 1
  36. 2020Building a COVID-19 Vulnerability Indexcited by 1
  37. 2021Multilingual Medical Question Answering and Information Retrieval for Rural Health Intelligence Accesscited by 1

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2022: 1; 2023: 4; 2024: 4; 2025: 0; 2026: 5.

14 papers.

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  1. 2023Transfer Knowledge from Natural Language to Electrocardiography: Can We Detect Cardiovascular Disease Through Language Models?cited by 21
  2. 2022A Survey on Medical Document Summarizationcited by 14
  3. 2023Intent Identification and Entity Extraction for Healthcare Queries in Indic Languagescited by 9
  4. 2023Has It All Been Solved? Open NLP Research Questions Not Solved by Large Language Modelscited by 7
  5. 2023Text-Transport: Toward Learning Causal Effects of Natural Languagecited by 6
  6. 2024Text2MDT: Extracting Medical Decision Trees from Medical Textscited by 6
  7. 2024Intent Detection and Entity Extraction from BioMedical Literaturecited by 6
  8. 2024mhGPT: A Lightweight Generative Pre-Trained Transformer for Mental Health Text Analysiscited by 5
  9. 2026Evaluating ChatGPT on Medical Information Extraction Tasks: Performance, Explainability and Beyondcited by 1
  10. 2024Transparent but Powerful: Explainability, Accuracy, and Generalizability in ADHD Detection from Social Media Datacited by 0
  11. 2026The Word and the Way: Strategies for Domain-Specific BERT Pre-Training in German Medical NLPcited by 0
  12. 2026Severity-Aware Curriculum Learning with Multi-Model Response Selection for Medical Text Generationcited by 0
2 more
  1. 2026What Is Missing in Surgical Risk Stratification and Outcome Prediction: A Scoping Review of End-to-End Machine Learning Approachescited by 0
  2. 2026Clinical Domain Classification from Medical Transcriptionscited by 0