AIMC Topic: Information Storage and Retrieval

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Towards a Reporting Guideline for Studies on Information Extraction from Clinical Texts.

Studies in health technology and informatics Aug 22, 2024
BACKGROUND: The rapid technical progress in the domain of clinical Natural Language Processing and information extraction (IE) has resulted in challenges concerning the comparability and replicability of studies.
Guidelines as Topic Information Storage and Retrieval Humans Natural Language Processing
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Streamlining social media information retrieval for public health research with deep learning.

Journal of the American Medical Informatics Association : JAMIA Jun 20, 2024
OBJECTIVE: Social media-based public health research is crucial for epidemic surveillance, but most studies identify relevant corpora with keyword-matching. This study develops a system to streamline the process of curating colloquial medical diction...
Information Storage and Retrieval Unified Medical Language System Humans COVID-19 Deep Learning Social Media Public Health
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Multimodal learning for temporal relation extraction in clinical texts.

Journal of the American Medical Informatics Association : JAMIA May 20, 2024
OBJECTIVES: This study focuses on refining temporal relation extraction within medical documents by introducing an innovative bimodal architecture. The overarching goal is to enhance our understanding of narrative processes in the medical domain, par...
Humans Machine Learning Electronic Health Records Narration Datasets as Topic Information Storage and Retrieval Natural Language Processing Data Mining
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Generating Actionable Insights from Patient Medical Records and Structured Clinical Knowledge.

Studies in health technology and informatics Apr 26, 2024
While adherence to clinical guidelines improves the quality and consistency of care, personalized healthcare also requires a deep understanding of individual disease models and treatment plans. The structured preparation of medical routine data in a ...
Data Mining Information Storage and Retrieval Electronic Health Records Humans Natural Language Processing Algorithms
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D3EGFR: a webserver for deep learning-guided drug sensitivity prediction and drug response information retrieval for EGFR mutation-driven lung cancer.

Briefings in bioinformatics Mar 27, 2024
As key oncogenic drivers in non-small-cell lung cancer (NSCLC), various mutations in the epidermal growth factor receptor (EGFR) with variable drug sensitivities have been a major obstacle for precision medicine. To achieve clinical-level drug recomm...
Carcinoma, Non-Small-Cell Lung Mutation Information Storage and Retrieval Deep Learning Humans ErbB Receptors Lung Neoplasms
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AutoCriteria: a generalizable clinical trial eligibility criteria extraction system powered by large language models.

Journal of the American Medical Informatics Association : JAMIA Jan 18, 2024
OBJECTIVES: We aim to build a generalizable information extraction system leveraging large language models to extract granular eligibility criteria information for diverse diseases from free text clinical trial protocol documents. We investigate the ...
Natural Language Processing Information Storage and Retrieval Eligibility Determination Humans Female Language Breast Neoplasms
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Combining Rule-based NLP-lite with Rapid Iterative Chart Adjudication for Creation of a Large, Accurately Curated Cohort from EHR data: A Case Study in the Context of a Clinical Trial Emulation.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 1, 2024
The aim of this work was to create a gold-standard curated cohort of 10,000+ cases from the Veteran Affairs (VA) corporate data warehouse (CDW) for virtual emulation of a randomized clinical trial (CSP#592). The trial had six inclusion/exclusion crit...
United States Randomized Controlled Trials as Topic Electronic Health Records Cohort Studies Natural Language Processing Information Storage and Retrieval Humans Algorithms
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Clinical Information Extraction with Large Language Models: A Case Study on Organ Procurement.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 1, 2024
Recent work has demonstrated that large language models (LLMs) are powerful tools for clinical information extraction from unstructured text. However, existing approaches have largely ignored the extraction of numeric information such as laboratory t...
Humans Natural Language Processing Large Language Models Tissue and Organ Procurement Information Storage and Retrieval
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Optimizing Medication Querying Using Ontology-Driven Approach with OMOP: with an application to a large-scale COVID-19 EHR dataset.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 1, 2024
Efficient querying for medication information in Electronic Health Record (EHR) datasets is crucial for effective patient care and clinical research. To address the complexity and data volume challenges involved in efficient medication information re...
COVID-19 Semantics Electronic Health Records Biological Ontologies Humans SARS-CoV-2 Information Storage and Retrieval
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Artificial Intelligence-assisted Biomedical Literature Knowledge Synthesis to Support Decision-making in Precision Oncology.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 1, 2024
The delivery of effective targeted therapies requires comprehensive analyses of the molecular profiling of tumors and matching with clinical phenotypes in the context of existing knowledge described in biomedical literature, registries, and knowledge...
Humans Natural Language Processing Artificial Intelligence Medical Oncology Information Storage and Retrieval Precision Medicine Neoplasms
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