AIMC Topic:
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 ...
Humans Data Mining Algorithms Information Storage and Retrieval Natural Language Processing Electronic Health Records
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Parametric optimization and comparative study of machine learning and deep learning algorithms for breast cancer diagnosis.

Breast disease Jan 1, 2024
Breast Cancer is the leading form of cancer found in women and a major cause of increased mortality rates among them. However, manual diagnosis of the disease is time-consuming and often limited by the availability of screening systems. Thus, there i...
Algorithms Female Machine Learning Diagnosis, Computer-Assisted Deep Learning Breast Neoplasms Humans Data Mining
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Probabilistic neural network based visual data mining for the healthcare sector.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2024
BACKGROUND: The need for personalised care in the long-term management of patient health is paramount due to the variability in individual features and responses to specific medication. With the availability of large quantities of electronic patient ...
Data Mining Precision Medicine Humans Big Data Neural Networks, Computer Electronic Health Records
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Design of the formalized and integrated Alzheimer's Disease Ontology and its application in retrieving textual data via text mining.

Database : the journal of biological databases and curation Dec 2, 2023
As one of the leading causes for dementia in the population, it is imperative that we discern exactly why Alzheimer's disease (AD) has a strong molecular association with beta-amyloid and tau. Although a clear understanding about etiology and pathoge...
Alzheimer Disease Biological Ontologies Humans Data Mining
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AIONER: all-in-one scheme-based biomedical named entity recognition using deep learning.

Bioinformatics (Oxford, England) May 4, 2023
MOTIVATION: Biomedical named entity recognition (BioNER) seeks to automatically recognize biomedical entities in natural language text, serving as a necessary foundation for downstream text mining tasks and applications such as information extraction...
Software Deep Learning Language Data Mining PubMed
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K-RET: knowledgeable biomedical relation extraction system.

Bioinformatics (Oxford, England) Apr 3, 2023
MOTIVATION: Relation extraction (RE) is a crucial process to deal with the amount of text published daily, e.g. to find missing associations in a database. RE is a text mining task for which the state-of-the-art approaches use bidirectional encoders,...
Data Mining Biological Ontologies Databases, Factual
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Automatic Extraction of Medication Mentions from Tweets-Overview of the BioCreative VII Shared Task 3 Competition.

Database : the journal of biological databases and curation Feb 3, 2023
This study presents the outcomes of the shared task competition BioCreative VII (Task 3) focusing on the extraction of medication names from a Twitter user's publicly available tweets (the user's 'timeline'). In general, detecting health-related twee...
Natural Language Processing Humans Data Mining
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Natural language processing in narrative breast radiology reporting in University Malaya Medical Centre.

Health informatics journal Jan 1, 2023
Radiology reporting is narrative, and its content depends on the clinician's ability to interpret the images accurately. A tertiary hospital, such as anonymous institute, focuses on writing reports narratively as part of training for medical personne...
Data Mining Malaysia Universities Radiology Natural Language Processing Humans
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Content analysis of psychological first aid training manuals via topic modelling.

European journal of psychotraumatology Jan 1, 2023
Psychological First Aid (PFA) is practiced worldwide. This practice in English is guided through a small collection of training manuals. Despite ubiquitous practice and formal training materials, little is known about what topics are covered and in ...
Data Mining Psychological First Aid Australia Machine Learning Humans
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METAbolomics data Balancing with Over-sampling Algorithms (META-BOA): an online resource for addressing class imbalance.

Bioinformatics (Oxford, England) Nov 30, 2022
MOTIVATION: Class imbalance, or unequal sample sizes between classes, is an increasing concern in machine learning for metabolomic and lipidomic data mining, which can result in overfitting for the over-represented class. Numerous methods have been d...
Data Mining Algorithms Metabolomics Machine Learning
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