AIMC Topic: Data Mining

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PhenoBERT: A Combined Deep Learning Method for Automated Recognition of Human Phenotype Ontology.

IEEE/ACM transactions on computational biology and bioinformatics Apr 3, 2023
Automated recognition of Human Phenotype Ontology (HPO) terms from clinical texts is of significant interest to the field of clinical data mining. In this study, we develop a combined deep learning method named PhenoBERT for this purpose. PhenoBERT u...
Humans Phenotype Deep Learning Benchmarking Data Mining Family
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Automated assembly of molecular mechanisms at scale from text mining and curated databases.

Molecular systems biology Mar 20, 2023
The analysis of omic data depends on machine-readable information about protein interactions, modifications, and activities as found in protein interaction networks, databases of post-translational modifications, and curated models of gene and protei...
Humans Databases, Factual Reproducibility of Results Natural Language Processing Data Mining
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Predicting heart failure onset in the general population using a novel data-mining artificial intelligence method.

Scientific reports Mar 16, 2023
We aimed to identify combinations of clinical factors that predict heart failure (HF) onset using a novel limitless-arity multiple-testing procedure (LAMP). We also determined if increases in numbers of predictive combinations of factors increases th...
Humans Artificial Intelligence Risk Factors Heart Failure Data Mining
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B-LBConA: a medical entity disambiguation model based on Bio-LinkBERT and context-aware mechanism.

BMC bioinformatics Mar 16, 2023
BACKGROUND: The main task of medical entity disambiguation is to link mentions, such as diseases, drugs, or complications, to standard entities in the target knowledge base. To our knowledge, models based on Bidirectional Encoder Representations from...
Knowledge Bases Data Mining
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Identification of Drug Compounds for Capsular Contracture Based on Text Mining and Deep Learning.

Plastic and reconstructive surgery Mar 3, 2023
BACKGROUND: Capsular contracture is a common and unpredictable complication after breast implant placement. Currently, the pathogenesis of capsular contracture is unclear, and the effectiveness of nonsurgical treatment is still doubtful. The authors'...
Humans Deep Learning Data Mining Breast Implantation Breast Implants Contracture Implant Capsular Contracture
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Efficient Selection of Gaussian Kernel SVM Parameters for Imbalanced Data.

Genes Feb 25, 2023
For medical data mining, the development of a class prediction model has been widely used to deal with various kinds of data classification problems. Classification models especially for high-dimensional gene expression datasets have attracted many r...
Algorithms Research Design Support Vector Machine Data Mining
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Joint learning-based causal relation extraction from biomedical literature.

Journal of biomedical informatics Feb 11, 2023
Causal relation extraction of biomedical entities is one of the most complex tasks in biomedical text mining, which involves two kinds of information: entity relations and entity functions. One feasible approach is to take relation extraction and fun...
Machine Learning Data Mining Knowledge Discovery
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A prefix and attention map discrimination fusion guided attention for biomedical named entity recognition.

BMC bioinformatics Feb 8, 2023
BACKGROUND: The biomedical literature is growing rapidly, and it is increasingly important to extract meaningful information from the vast amount of literature. Biomedical named entity recognition (BioNER) is one of the key and fundamental tasks in b...
Knowledge Bases Data Mining Semantics
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AI for life: Trends in artificial intelligence for biotechnology.

New biotechnology Feb 6, 2023
Due to popular successes (e.g., ChatGPT) Artificial Intelligence (AI) is on everyone's lips today. When advances in biotechnology are combined with advances in AI unprecedented new potential solutions become available. This can help with many global ...
Artificial Intelligence Ecosystem Knowledge Bases Data Mining Biotechnology
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Design and Development of a Big Data Platform for Disease Burden Based on the Spark Engine.

Computational intelligence and neuroscience Feb 6, 2023
OBJECTIVE: This study attempts to build a big data platform for disease burden that can realize the deep coupling of artificial intelligence and public health. This is a highly open and shared intelligent platform, including big data collection, anal...
Artificial Intelligence Technology Ecosystem Big Data Data Mining
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