AIMC Topic:
Data Mining
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Extracting social support and social isolation information from clinical psychiatry notes: comparing a rule-based natural language processing system and a large language model.
Journal of the American Medical Informatics Association : JAMIA
Jan 1, 2025
OBJECTIVES: Social support (SS) and social isolation (SI) are social determinants of health (SDOH) associated with psychiatric outcomes. In electronic health records (EHRs), individual-level SS/SI is typically documented in narrative clinical notes r...
JTIS: enhancing biomedical document-level relation extraction through joint training with intermediate steps.
Database : the journal of biological databases and curation
Dec 19, 2024
Biomedical Relation Extraction (RE) is central to Biomedical Natural Language Processing and is crucial for various downstream applications. Existing RE challenges in the field of biology have primarily focused on intra-sentential analysis. However, ...
Artificial intelligence-aided data mining of medical records for cancer detection and screening.
The Lancet. Oncology
Dec 1, 2024
The application of artificial intelligence methods to electronic patient records paves the way for large-scale analysis of multimodal data. Such population-wide data describing deep phenotypes composed of thousands of features are now being leveraged...
Knowledge mining of brain connectivity in massive literature based on transfer learning.
Bioinformatics (Oxford, England)
Nov 28, 2024
MOTIVATION: Neuroscientists have long endeavored to map brain connectivity, yet the intricate nature of brain networks often leads them to concentrate on specific regions, hindering efforts to unveil a comprehensive connectivity map. Recent advanceme...
BioGSF: a graph-driven semantic feature integration framework for biomedical relation extraction.
Briefings in bioinformatics
Nov 22, 2024
The automatic and accurate extraction of diverse biomedical relations from literature constitutes the core elements of medical knowledge graphs, which are indispensable for healthcare artificial intelligence. Currently, fine-tuning through stacking v...
Techniques for learning and transferring knowledge for microbiome-based classification and prediction: review and assessment.
Briefings in bioinformatics
Nov 22, 2024
The volume of microbiome data is growing at an exponential rate, and the current methodologies for big data mining are encountering substantial obstacles. Effectively managing and extracting valuable insights from these vast microbiome datasets has e...
Utilizing RAG and GPT-4 for Extraction of Substance Use Information from Clinical Notes.
Studies in health technology and informatics
Nov 22, 2024
This research investigates the application of a hybrid Retrieval-Augmented Generation (RAG) and Generative Pre-trained Transformer (GPT) pipeline for extracting and categorizing substance use information from unstructured clinical notes. The aim is t...
[Construction and external validation of a non-invasive pre-hospital screening model for stroke patients: a study based on artificial intelligence DeepFM algorithm].
Zhonghua wei zhong bing ji jiu yi xue
Nov 1, 2024
OBJECTIVE: To construct a non-invasive pre-hospital screening model and early based on artificial intelligence algorithms to provide the severity of stroke in patients, provide screening, guidance and early warning for stroke patients and their famil...
CACER: Clinical concept Annotations for Cancer Events and Relations.
Journal of the American Medical Informatics Association : JAMIA
Nov 1, 2024
OBJECTIVE: Clinical notes contain unstructured representations of patient histories, including the relationships between medical problems and prescription drugs. To investigate the relationship between cancer drugs and their associated symptom burden...
Automated annotation of scientific texts for ML-based keyphrase extraction and validation.
Database : the journal of biological databases and curation
Sep 27, 2024
Advanced omics technologies and facilities generate a wealth of valuable data daily; however, the data often lack the essential metadata required for researchers to find, curate, and search them effectively. The lack of metadata poses a significant c...
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