AIMC Topic: Natural Language Processing

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An Automated Approach for Domain-Specific Knowledge Graph Generation─Graph Measures and Characterization.

Journal of chemical information and modeling
In 2020, nearly 3 million scientific and engineering papers were published worldwide (White, K. Publications Output: U.S. Trends And International Comparisons). The vastness of the literature that already exists, the increasing rate of appearance of ...

Exploring the Social Media Discussion of Breast Cancer Treatment Choices: Quantitative Natural Language Processing Study.

JMIR cancer
BACKGROUND: Early-stage breast cancer has the complex challenge of carrying a favorable prognosis with multiple treatment options, including breast-conserving surgery (BCS) or mastectomy. Social media is increasingly used as a source of information a...

Discovering patient groups in sequential electronic healthcare data using unsupervised representation learning.

BMC medical informatics and decision making
INTRODUCTION: Unsupervised feature learning methods inspired by natural language processing (NLP) models are capable of constructing patient-specific features from longitudinal Electronic Health Records (EHR).

A pediatric emergency prediction model using natural language process in the pediatric emergency department.

Scientific reports
This study developed a predictive model using deep learning (DL) and natural language processing (NLP) to identify emergency cases in pediatric emergency departments. It analyzed 87,759 pediatric cases from a South Korean tertiary hospital (2012-2021...

Scalable information extraction from free text electronic health records using large language models.

BMC medical research methodology
BACKGROUND: A vast amount of potentially useful information such as description of patient symptoms, family, and social history is recorded as free-text notes in electronic health records (EHRs) but is difficult to reliably extract at scale, limiting...

Understanding generative AI to harness its potentials and mini- mize risks: A perspective.

European journal of radiology
The hype surrounding Generative AI is such that the impression one may get is that these technologies are solving all the problems of humankind, including medical diagnoses. This can result in great disappointments (or worse) unless there is a clear ...

Natural language processing-based classification of early Alzheimer's disease from connected speech.

Alzheimer's & dementia : the journal of the Alzheimer's Association
INTRODUCTION: The automated analysis of connected speech using natural language processing (NLP) emerges as a possible biomarker for Alzheimer's disease (AD). However, it remains unclear which types of connected speech are most sensitive and specific...

EmoAtlas: An emotional network analyzer of texts that merges psychological lexicons, artificial intelligence, and network science.

Behavior research methods
We introduce EmoAtlas, a computational library/framework extracting emotions and syntactic/semantic word associations from texts. EmoAtlas combines interpretable artificial intelligence (AI) for syntactic parsing in 18 languages and psychologically v...

Semiautomated Extraction of Research Topics and Trends From National Cancer Institute Funding in Radiological Sciences From 2000 to 2020.

International journal of radiation oncology, biology, physics
PURPOSE: Investigators and funding organizations desire knowledge on topics and trends in publicly funded research but current efforts for manual categorization have been limited in breadth and depth of understanding. We present a semiautomated analy...

Empowering PET imaging reporting with retrieval-augmented large language models and reading reports database: a pilot single center study.

European journal of nuclear medicine and molecular imaging
PURPOSE: The potential of Large Language Models (LLMs) in enhancing a variety of natural language tasks in clinical fields includes medical imaging reporting. This pilot study examines the efficacy of a retrieval-augmented generation (RAG) LLM system...