Page
%P
44 Result(s)
within
Dina Demner Fushman
-
Book Series
-
Chapter
Introduction to Natural Language Processing of Clinical Text
Clinical and biomedical natural language processing (NLP) has a wide range of practical applications in clinical and biomedical research, quality assurance of clinical care and delivery of information to patie...
-
Chapter
Development of Clinical NLP Systems
The primary objective of this chapter is to offer an extensive overview of the development of clinical Natural Language Processing (NLP) systems. We will commence by examining several existing clinical NLP sys...
-
Chapter
NLP Applications—Other Biomedical Texts
This chapter introduces sublanguages complementary to the biomedical literature, clinical notes, and social media. These sublanguages are found in drug labels, descriptions of clinical trials in the official r...
-
Chapter
Overview of Linguistic Information
This chapter provides a brief overview of linguistic information, and its relevance to clinical text processing. The contents of this chapter will be familiar to the readers who had to identify the words that ...
-
Chapter
Medical Concept Normalization
Medical concept normalization, which maps clinical entities to concepts in standard terminology, is essential for supporting downstream computational applications in clinical settings. This chapter starts with...
-
Book
-
Chapter
Question Answering
Question answering refers to the process of providing direct and precise answers to natural language questions. Biomedical question answering is a task directed towards aiding researchers, healthcare professio...
-
Article
Open AccessPublisher Correction: Large language models encode clinical knowledge
-
Article
Open AccessLarge language models encode clinical knowledge
Large language models (LLMs) have demonstrated impressive capabilities, but the bar for clinical applications is high. Attempts to assess the clinical knowledge of models typically rely on automated evaluation...
-
Article
Open AccessCHQ- SocioEmo: Identifying Social and Emotional Support Needs in Consumer-Health Questions
General public, often called consumers, are increasingly seeking health information online. To be satisfactory, answers to health-related questions often have to go beyond informational needs. Automated approa...
-
Article
Open AccessA dataset for medical instructional video classification and question answering
This paper introduces a new challenge and datasets to foster research toward designing systems that can understand medical videos and provide visual answers to natural language questions. We believe medical vi...
-
Article
Open AccessA dataset for plain language adaptation of biomedical abstracts
Though exponentially growing health-related literature has been made available to a broad audience online, the language of scientific articles can be difficult for the general public to understand. Therefore, ...
-
Article
Open AccessAutomatic question answering for multiple stakeholders, the epidemic question answering dataset
One of the effects of COVID-19 pandemic is a rapidly growing and changing stream of publications to inform clinicians, researchers, policy makers, and patients about the health, socio-economic, and cultural co...
-
Chapter and Conference Paper
The 2021 ImageCLEF Benchmark: Multimedia Retrieval in Medical, Nature, Internet and Social Media Applications
This paper presents the ideas for the 2021 ImageCLEF lab that will be organized as part of the Conference and Labs of the Evaluation Forum—CLEF Labs 2021 in Bucharest, Romania. ImageCLEF is an ongoing evaluati...
-
Chapter and Conference Paper
Overview of the ImageCLEF 2021: Multimedia Retrieval in Medical, Nature, Internet and Social Media Applications
This paper presents an overview of the ImageCLEF 2021 lab that was organized as part of the Conference and Labs of the Evaluation Forum – CLEF Labs 2021. ImageCLEF is an ongoing evaluation initiative (first ru...
-
Chapter
Natural Language Processing for Health-Related Texts
Narrative text is an important component of communication in health care, including patient-specific information in health record reports and notes and general biomedical knowledge papers, textbooks and web re...
-
Article
Open AccessQuestion-driven summarization of answers to consumer health questions
Automatic summarization of natural language is a widely studied area in computer science, one that is broadly applicable to anyone who needs to understand large quantities of information. In the medical domain...
-
Chapter and Conference Paper
ImageCLEF 2020: Multimedia Retrieval in Lifelogging, Medical, Nature, and Internet Applications
This paper presents an overview of the 2020 ImageCLEF lab that will be organized as part of the Conference and Labs of the Evaluation Forum—CLEF Labs 2020 in Thessaloniki, Greece. ImageCLEF is an ongoing eval...
-
Chapter and Conference Paper
Overview of the ImageCLEF 2020: Multimedia Retrieval in Medical, Lifelogging, Nature, and Internet Applications
This paper presents an overview of the ImageCLEF 2020 lab that was organized as part of the Conference and Labs of the Evaluation Forum - CLEF Labs 2020. ImageCLEF is an ongoing evaluation initiative (first ru...
