AIMC Topic: Data Mining

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An exploration into CTEPH medications: Combining natural language processing, embedding learning, in vitro models, and real-world evidence for drug repurposing.

PLoS computational biology Sep 12, 2024
BACKGROUND: In the modern era, the growth of scientific literature presents a daunting challenge for researchers to keep informed of advancements across multiple disciplines.
Data Mining Hypertension, Pulmonary Pulmonary Embolism PubMed Machine Learning Computational Biology Drug Repositioning Natural Language Processing Chronic Disease Humans Neural Networks, Computer
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Utility analysis and demonstration of real-world clinical texts: A case study on Japanese cancer-related EHRs.

PloS one Sep 11, 2024
Real-world data (RWD) in the medical field, such as electronic health records (EHRs) and medication orders, are receiving increasing attention from researchers and practitioners. While structured data have played a vital role thus far, unstructured d...
Japan Data Mining Humans Electronic Health Records Neoplasms Machine Learning Natural Language Processing
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Community knowledge graph abstraction for enhanced link prediction: A study on PubMed knowledge graph.

Journal of biomedical informatics Sep 10, 2024
OBJECTIVE: As new knowledge is produced at a rapid pace in the biomedical field, existing biomedical Knowledge Graphs (KGs) cannot be manually updated in a timely manner. Previous work in Natural Language Processing (NLP) has leveraged link predictio...
Data Mining PubMed Knowledge Bases Algorithms Humans Natural Language Processing
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The Potential of Gemini and GPTs for Structured Report Generation based on Free-Text F-FDG PET/CT Breast Cancer Reports.

Academic radiology Sep 7, 2024
RATIONALE AND OBJECTIVE: To compare the performance of large language model (LLM) based Gemini and Generative Pre-trained Transformers (GPTs) in data mining and generating structured reports based on free-text PET/CT reports for breast cancer after u...
Humans Adult Breast Neoplasms Middle Aged Retrospective Studies Female Radiology Information Systems Radiopharmaceuticals Data Mining Fluorodeoxyglucose F18 Natural Language Processing Positron Emission Tomography Computed Tomography
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Biomedical event causal relation extraction with deep knowledge fusion and Roberta-based data augmentation.

Methods (San Diego, Calif.) Sep 4, 2024
Biomedical event causal relation extraction (BECRE), as a subtask of biomedical information extraction, aims to extract event causal relation facts from unstructured biomedical texts and plays an essential role in many downstream tasks. The existing ...
Data Mining Humans Semantics Deep Learning Knowledge Bases Neural Networks, Computer
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Prediction of infectious diseases using sentiment analysis on social media data.

PloS one Sep 4, 2024
As the influence and risk of infectious diseases increase, efforts are being made to predict the number of confirmed infectious disease patients, but research involving the qualitative opinions of social media users is scarce. However, social data ca...
Data Mining Communicable Diseases Social Media Machine Learning Humans Algorithms
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A machine learning framework for extracting information from biological pathway images in the literature.

Metabolic engineering Sep 2, 2024
There have been significant advances in literature mining, allowing for the extraction of target information from the literature. However, biological literature often includes biological pathway images that are difficult to extract in an easily edita...
Machine Learning Metabolic Networks and Pathways Data Mining
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Extracting lung cancer staging descriptors from pathology reports: A generative language model approach.

Journal of biomedical informatics Sep 2, 2024
BACKGROUND: In oncology, electronic health records contain textual key information for the diagnosis, staging, and treatment planning of patients with cancer. However, text data processing requires a lot of time and effort, which limits the utilizati...
Deep Learning Lung Neoplasms Natural Language Processing Feasibility Studies Data Mining Neoplasm Staging
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Prediction of mortality events of patients with acute heart failure in intensive care unit based on deep neural network.

Computer methods and programs in biomedicine Aug 30, 2024
BACKGROUND: Acute heart failure (AHF) in the intensive care unit (ICU) is characterized by its criticality, rapid progression, complex and changeable condition, and its pathophysiological process involves the interaction of multiple organs and system...
Middle Aged Deep Learning Acute Disease Heart Failure Humans Data Mining Hospital Mortality Neural Networks, Computer Risk Factors Electronic Health Records Databases, Factual Aged Female Machine Learning Male Prognosis Algorithms Intensive Care Units
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SSGU-CD: A combined semantic and structural information graph U-shaped network for document-level Chemical-Disease interaction extraction.

Journal of biomedical informatics Aug 29, 2024
Document-level interaction extraction for Chemical-Disease is aimed at inferring the interaction relations between chemical entities and disease entities across multiple sentences. Compared with sentence-level relation extraction, document-level rela...
Semantics Disease Algorithms Natural Language Processing Data Mining Humans
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