Interacting with ubiquitous healthcare systems should be both enjoyable and intuitive for patients and there are significant human computer interaction (HCI) issues that need to be considered in developing effective, robust, unobtrusive and friendly user interfaces to ubiquitous healthcare systems. One wa...
John Snow Labs is emerging as the clear industry leader for state-of-the-art NLP in healthcare. We cannot recommend a better way to apply the most current, accurate, and scalable technology to your natural language understanding challenges today. Editor-in-Chief, The Technology Headlines...
* Healthcare, domain-specific adaption of open-domain NLP techniques * Information extraction from electronic health records * Data mining of electronic health records * NLP approaches that involve with image and video * Automatic speech recognition for the healthcare domain * Spoken clinical question ...
Explainable Assessment of Healthcare Articles with QA 使用QA 对医疗保健文章进行可解释的评估 论文链接:aclanthology.org/2022.b Data Augmentation for Biomedical Factoid Question Answering 生物医学事实问答的数据增强 论文链接:aclanthology.org/2022.b Overview of the MedVidQA 2022 Shared Task on Medical Vid...
Building blocks of a task-oriented dialogue system in the healthcare domain 论文地址:aclanthology.org/2021.n Medically Aware GPT-3 as a Data Generator for Medical Dialogue Summarization 论文地址:aclanthology.org/2021.n 文本生成 BBAEG: Towards BERT-based Biomedical Adversarial Example Generation for...
Healthcare New medical insights and breakthroughs can arrive faster than many healthcare professionals can keep up. NLP and AI-based tools can help speed the analysis of health records and medical research papers, making better-informed medical decisions possible, or assisting in the detection or ev...
⭐ NerDL and NerCRF - Tutorial on Named Entity Recognition for Healthcare with SparkNLP ⭐ Legal Text Analytics - A list of selected resources dedicated to Legal Text Analytics [GitHub, 613 stars] ⭐ BioIE - A curated list of resources relevant to doing Biomedical Information Extraction ...
Reinforcement Learning in Healthcare: A Survey. arXiv 2019 paper bib Chao Yu, Jiming Liu, Shamim Nemati Sim-to-Real Transfer in Deep Reinforcement Learning for Robotics: a Survey. SSCI 2020 paper bib Wenshuai Zhao, Jorge Peña Queralta, Tomi Westerlund Survey on reinforcement learning for lan...
Multimorbidity research in mental health services requires data from physical health conditions which is traditionally limited in mental health care electronic health records. In this study, we aimed to extract data from physical health conditions from clinical notes using SemEHR. Data was extracted from...
The expected size of the NLP market worldwide will be from 2020 to 2030 (in billions of U.S. dollars). Image source: Statista Now, it’s being used in various real-world applications: You can analyze medical records in the healthcare sector or understand market trends in finance. Six...