AIMC Topic:
Data Mining
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From Data Mining of Public Sources to Clinical Decision Support in Personalized Medicine.
Studies in health technology and informatics
Aug 22, 2024
Personalized medicine enables precise tumor treatment for a patient's molecular genetic profile. To devise optimal targeted treatment plans for patients in a molecular tumor board, physicians must consider alterations on gene- and proteins levels but...
The overview of the BioRED (Biomedical Relation Extraction Dataset) track at BioCreative VIII.
Database : the journal of biological databases and curation
Aug 8, 2024
The BioRED track at BioCreative VIII calls for a community effort to identify, semantically categorize, and highlight the novelty factor of the relationships between biomedical entities in unstructured text. Relation extraction is crucial for many bi...
Development and Validation of a Natural Language Processing Algorithm for Extracting Clinical and Pathological Features of Breast Cancer From Pathology Reports.
JCO clinical cancer informatics
Aug 1, 2024
PURPOSE: Electronic health records (EHRs) are valuable information repositories that offer insights for enhancing clinical research on breast cancer (BC) using real-world data. The objective of this study was to develop a natural language processing ...
Unveiling Fall Risk Factors: Nurse-Driven Corpus Development for Natural Language Processing.
Studies in health technology and informatics
Jul 24, 2024
Hospital-acquired falls are a continuing clinical concern. The emergence of advanced analytical methods, including NLP, has created opportunities to leverage nurse-generated data, such as clinical notes, to better address the problem of falls. In thi...
Towards discovery: an end-to-end system for uncovering novel biomedical relations.
Database : the journal of biological databases and curation
Jul 11, 2024
Biomedical relation extraction is an ongoing challenge within the natural language processing community. Its application is important for understanding scientific biomedical literature, with many use cases, such as drug discovery, precision medicine,...
Hard example mining in Multi-Instance Learning for Whole-Slide Image Classification.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jul 1, 2024
Multiple instance learning(MIL) has shown superior performance in the classification of whole-slide images(WSIs). The implementation of multiple instance learning for WSI classification typically involves two components, i.e., a feature extractor, wh...
Extracting Systemic Anticancer Therapy and Response Information From Clinical Notes Following the RECIST Definition.
JCO clinical cancer informatics
Jun 1, 2024
PURPOSE: The RECIST guidelines provide a standardized approach for evaluating the response of cancer to treatment, allowing for consistent comparison of treatment efficacy across different therapies and patients. However, collecting such information ...
DUVEL: an active-learning annotated biomedical corpus for the recognition of oligogenic combinations.
Database : the journal of biological databases and curation
May 28, 2024
While biomedical relation extraction (bioRE) datasets have been instrumental in the development of methods to support biocuration of single variants from texts, no datasets are currently available for the extraction of digenic or even oligogenic vari...
Exploring Negated Entites for Named Entity Recognition in Italian Lung Cancer Clinical Reports.
Studies in health technology and informatics
May 23, 2024
This paper explores the potential of leveraging electronic health records (EHRs) for personalized health research through the application of artificial intelligence (AI) techniques, specifically Named Entity Recognition (NER). By extracting crucial p...
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...
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