AIMC Topic: Data Mining

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Building large-scale registries from unstructured clinical notes using a low-resource natural language processing pipeline.

Artificial intelligence in medicine Mar 22, 2024
Building clinical registries is an important step in clinical research and improvement of patient care quality. Natural Language Processing (NLP) methods have shown promising results in extracting valuable information from unstructured clinical notes...
Humans Electronic Health Records Data Mining Natural Language Processing Registries
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Development of method using language processing techniques for extracting information on drug-health food product interactions.

British journal of clinical pharmacology Mar 20, 2024
AIMS: Health food products (HFPs) are foods and products related to maintaining and promoting health. HFPs may sometimes cause unforeseen adverse health effects by interacting with drugs. Considering the importance of information on the interactions ...
Natural Language Processing Pharmaceutical Preparations Food-Drug Interactions Data Mining Humans Databases, Factual
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[Development of an artificial intelligence system to improve cancer clinical trial eligibility screening].

Bulletin du cancer Mar 19, 2024
INTRODUCTION: The recruitment step of all clinical trials is time consuming, harsh and generate extra costs. Artificial intelligence tools could improve recruitment in order to shorten inclusion phase. The objective was to assess the performance of a...
Data Mining Clinical Trials as Topic Eligibility Determination Time Factors Patient Selection Aged Breast Neoplasms Middle Aged Neoplasms Male Algorithms Female Artificial Intelligence Machine Learning Humans
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Assessing the Impact of Urban Environments on Mental Health and Perception Using Deep Learning: A Review and Text Mining Analysis.

Journal of urban health : bulletin of the New York Academy of Medicine Mar 11, 2024
Understanding how outdoor environments affect mental health outcomes is vital in today's fast-paced and urbanized society. Recently, advancements in data-gathering technologies and deep learning have facilitated the study of the relationship between ...
Deep Learning Emotions Data Mining Humans Mental Health Perception
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Algorithmic Identification of Treatment-Emergent Adverse Events From Clinical Notes Using Large Language Models: A Pilot Study in Inflammatory Bowel Disease.

Clinical pharmacology and therapeutics Mar 8, 2024
Outpatient clinical notes are a rich source of information regarding drug safety. However, data in these notes are currently underutilized for pharmacovigilance due to methodological limitations in text mining. Large language models (LLMs) like Bidir...
Data Mining Pharmacovigilance Adverse Drug Reaction Reporting Systems Natural Language Processing Drug-Related Side Effects and Adverse Reactions Female Algorithms Pilot Projects Male Hospitalization Humans Inflammatory Bowel Diseases Immunosuppressive Agents Electronic Health Records
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Mapping Ethical Artificial Intelligence Policy Landscape: A Mixed Method Analysis.

Science and engineering ethics Mar 7, 2024
As more national governments adopt policies addressing the ethical implications of artificial intelligence, a comparative analysis of policy documents on these topics can provide valuable insights into emerging concerns and areas of shared importance...
Data Mining Artificial Intelligence Government Policy Federal Government
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Unravelling the skills of data scientists: A text mining analysis of Dutch university master programs in data science and artificial intelligence.

PloS one Feb 29, 2024
The growing demand for data scientists in both the global and Dutch labour markets has led to an increase in data science and artificial intelligence (AI) master programs offered by universities. However, there is still a lack of clarity regarding th...
Schools Data Mining Data Science Humans Universities Artificial Intelligence
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Trends in stroke-related journals: Examination of publication patterns using topic modeling.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Feb 25, 2024
OBJECTIVES: This study aims to demonstrate the capacity of natural language processing and topic modeling to manage and interpret the vast quantities of scholarly publications in the landscape of stroke research. These tools can expedite the literatu...
Periodicals as Topic Stroke Data Mining Bibliometrics Natural Language Processing Biomedical Research Animals Humans Stroke Rehabilitation
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miRNAs in cerebrospinal fluid associated with Alzheimer's disease: A systematic review and pathway analysis using a data mining and machine learning approach.

Journal of neurochemistry Feb 23, 2024
Alzheimer's disease (AD) is the most common type and accounts for 60%-70% of the reported cases of dementia. MicroRNAs (miRNAs) are small non-coding RNAs that play a crucial role in gene expression regulation. Although the diagnosis of AD is primaril...
Data Mining Machine Learning Alzheimer Disease Biomarkers MicroRNAs Humans
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Advances in Machine Learning Processing of Big Data from Disease Diagnosis Sensors.

ACS sensors Feb 16, 2024
Exploring accurate, noninvasive, and inexpensive disease diagnostic sensors is a critical task in the fields of chemistry, biology, and medicine. The complexity of biological systems and the explosive growth of biomarker data have driven machine lear...
Algorithms Big Data Data Mining Artificial Intelligence Machine Learning
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