AIMC Topic: Data Mining

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IDPpub: Illuminating the Dark Phosphoproteome Through PubMed Mining.

Molecular & cellular proteomics : MCP Nov 21, 2023
Global phosphoproteomics experiments quantify tens of thousands of phosphorylation sites. However, data interpretation is hampered by our limited knowledge on functions, biological contexts, or precipitating enzymes of the phosphosites. This study es...
Data Mining Natural Language Processing PubMed Humans Databases, Factual
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Deep learning-enabled natural language processing to identify directional pharmacokinetic drug-drug interactions.

BMC bioinformatics Nov 1, 2023
BACKGROUND: During drug development, it is essential to gather information about the change of clinical exposure of a drug (object) due to the pharmacokinetic (PK) drug-drug interactions (DDIs) with another drug (precipitant). While many natural lang...
Language Drug Interactions Data Mining Deep Learning Natural Language Processing
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Europe PMC annotated full-text corpus for gene/proteins, diseases and organisms.

Scientific data Oct 19, 2023
Named entity recognition (NER) is a widely used text-mining and natural language processing (NLP) subtask. In recent years, deep learning methods have superseded traditional dictionary- and rule-based NER approaches. A high-quality dataset is essenti...
Natural Language Processing Data Mining Databases, Factual Europe Humans Machine Learning
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Redefining biomaterial biocompatibility: challenges for artificial intelligence and text mining.

Trends in biotechnology Oct 17, 2023
The surge in 'Big data' has significantly influenced biomaterials research and development, with vast data volumes emerging from clinical trials, scientific literature, electronic health records, and other sources. Biocompatibility is essential in de...
Data Mining Biocompatible Materials Artificial Intelligence Electronic Health Records
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An Interpretable Data-Driven Medical Knowledge Discovery Pipeline Based on Artificial Intelligence.

IEEE journal of biomedical and health informatics Oct 5, 2023
Difficulty in knowledge validation is a significant hindrance to knowledge discovery via data mining, especially automatic validation without artificial participation. In the field of medical research, medical knowledge discovery from electronic medi...
Data Mining Knowledge Discovery Humans Artificial Intelligence Machine Learning Prognosis
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Machine learning (ML) techniques to predict breast cancer in imbalanced datasets: a systematic review.

Journal of cancer survivorship : research and practice Sep 26, 2023
Knowledge discovery in databases (KDD) is crucial in analyzing data to extract valuable insights. In medical outcome prediction, KDD is increasingly applied, particularly in diseases with high incidence, mortality, and costs, like cancer. ML techniqu...
Prognosis Female Humans Machine Learning Breast Neoplasms Data Mining
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Unraveling the link between PTBP1 and severe asthma through machine learning and association rule mining method.

Scientific reports Sep 16, 2023
Severe asthma is a chronic inflammatory airway disease with great therapeutic challenges. Understanding the genetic and molecular mechanisms of severe asthma may help identify therapeutic strategies for this complex condition. RNA expression data wer...
Data Mining Humans Heterogeneous-Nuclear Ribonucleoproteins Artificial Intelligence Polypyrimidine Tract-Binding Protein Pulmonary Disease, Chronic Obstructive Machine Learning Asthma
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Looking at the fringes of MedTech innovation: a mapping review of horizon scanning and foresight methods.

BMJ open Sep 14, 2023
OBJECTIVES: Horizon scanning (HS) is a method used to examine signs of change and may be used in foresight practice. HS methods used for the identification of innovative medicinal products cannot be applied in medical technologies (MedTech) due to di...
Humans Databases, Bibliographic Consensus Data Mining Artificial Intelligence Databases, Factual
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Social Listening for Product Design Requirement Analysis and Segmentation: A Graph Analysis Approach with User Comments Mining.

Big data Sep 4, 2023
This study investigates customers' product design requirements through online comments from social media, and quickly translates these needs into product design specifications. First, the exponential discriminative snowball sampling method was propos...
Data Mining Consumer Behavior Social Media Natural Language Processing Cluster Analysis Humans Deep Learning Smartphone
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Depression in South Korean Adolescents Captured by Text and Opinion Mining of Social Big Data.

International journal of environmental research and public health Aug 28, 2023
Depression in adolescence is recognized as an important social and public health issue that interferes with continued physical growth and increases the likelihood of other mental disorders. The goal of this study was to examine online documents poste...
Big Data Data Mining Republic of Korea Adolescent Humans Sentiment Analysis Depression
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