AIMC Topic: Data Mining

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AI in Surgery: Navigating Trends and Managerial Implications Through Bibliometric and Text Mining Odyssey.

Surgical innovation Oct 4, 2024
This research employs bibliometric and text-mining analysis to explore artificial intelligence (AI) advancements within surgical procedures. The growing significance of AI in healthcare underscores the need for healthcare managers to prioritize inves...
Data Mining Humans General Surgery Artificial Intelligence Bibliometrics Surgical Procedures, Operative
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PotatoG-DKB: a potato gene-disease knowledge base mined from biological literature.

PeerJ Oct 3, 2024
BACKGROUND: Potato is the fourth largest food crop in the world, but potato cultivation faces serious threats from various diseases and pests. Despite significant advancements in research on potato disease resistance, these findings are scattered acr...
Data Mining Natural Language Processing Plant Diseases Knowledge Bases Disease Resistance Solanum tuberosum Genes, Plant
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De Novo Natural Language Processing Algorithm Accurately Identifies Myxofibrosarcoma From Pathology Reports.

Clinical orthopaedics and related research Oct 2, 2024
BACKGROUND: Available codes in the ICD-10 do not accurately reflect soft tissue sarcoma diagnoses, and this can result in an underrepresentation of soft tissue sarcoma in databases. The National VA Database provides a unique opportunity for soft tiss...
Male United States Predictive Value of Tests Databases, Factual Reproducibility of Results Humans International Classification of Diseases Algorithms Soft Tissue Neoplasms United States Department of Veterans Affairs Natural Language Processing Data Mining Fibrosarcoma
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Research of multi-label text classification based on label attention and correlation networks.

PloS one Sep 30, 2024
Multi-Label Text Classification (MLTC) is a crucial task in natural language processing. Compared to single-label text classification, MLTC is more challenging due to its vast collection of labels which include extracting local semantic information, ...
Data Mining Algorithms Humans Semantics Natural Language Processing
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An automated approach to predict diabetic patients using KNN imputation and effective data mining techniques.

BMC medical research methodology Sep 27, 2024
Diabetes is thought to be the most common illness in underdeveloped nations. Early detection and competent medical care are crucial steps in reducing the effects of diabetes. Examining the signs associated with diabetes is one of the most effective w...
Middle Aged Diabetes Mellitus Male Algorithms Data Mining Female Humans Adult Machine Learning
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Development of a Natural Language Processing (NLP) model to automatically extract clinical data from electronic health records: results from an Italian comprehensive stroke center.

International journal of medical informatics Sep 19, 2024
INTRODUCTION: Data collection often relies on time-consuming manual inputs, with a vast amount of information embedded in unstructured texts such as patients' medical records and clinical notes. Our study aims to develop a pipeline that combines acti...
Stroke Data Mining Middle Aged Natural Language Processing Bayes Theorem Italy Ischemic Stroke Female Aged Male Prognosis Electronic Health Records Humans Machine Learning
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Comparison of RNN-LSTM, TFDF and stacking model approach for weather forecasting in Bangladesh using historical data from 1963 to 2022.

PloS one Sep 19, 2024
Forecasting the weather in an area characterized by erratic weather patterns and unpredictable climate change is a challenging endeavour. The weather is classified as a non-linear system since it is influenced by various factors that contribute to cl...
Weather Data Mining Bangladesh Humidity Climate Change Machine Learning Forecasting Decision Trees Humans Neural Networks, Computer
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Text mining of verbal autopsy narratives to extract mortality causes and most prevalent diseases using natural language processing.

PloS one Sep 19, 2024
Verbal autopsy (VA) narratives play a crucial role in understanding and documenting the causes of mortality, especially in regions lacking robust medical infrastructure. In this study, we propose a comprehensive approach to extract mortality causes a...
Humans Retrospective Studies Prevalence Cause of Death Narration Autopsy Natural Language Processing Data Mining
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Opportunity and Opportunism in Artificial Intelligence-Powered Data Extraction: A Value-Centered Approach.

AJR. American journal of roentgenology Sep 18, 2024
Radiologists' traditional role in the diagnostic process is to respond to specific clinical questions and reduce uncertainty enough to permit treatment decisions to be made. This charge is rapidly evolving due to forces such as artificial intelligenc...
Humans Artificial Intelligence Algorithms Radiology Data Mining Diagnostic Imaging
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Development of message passing-based graph convolutional networks for classifying cancer pathology reports.

BMC medical informatics and decision making Sep 17, 2024
BACKGROUND: Applying graph convolutional networks (GCN) to the classification of free-form natural language texts leveraged by graph-of-words features (TextGCN) was studied and confirmed to be an effective means of describing complex natural language...
Humans Neural Networks, Computer Neoplasms Natural Language Processing Data Mining
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