AIMC Topic: Datasets as Topic

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The effect of selection bias on the performance of a deep learning-based intraoperative hypotension prediction model using real-world samples from a publicly available database.

British journal of anaesthesia Sep 1, 2025
BACKGROUND: There are models to predict intraoperative hypotension from arterial pressure waveforms. Selection bias in datasets used for model development and validation could impact model performance. We aimed to evaluate how selection bias affects ...
Selection Bias Datasets as Topic Arterial Pressure Monitoring, Intraoperative Predictive Value of Tests Hypotension Intraoperative Complications Databases, Factual Prospective Studies Female Middle Aged Deep Learning Aged Male Humans
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Continual learning across population cohorts with distribution shift: insights from multi-cohort metabolic syndrome identification.

Journal of the American Medical Informatics Association : JAMIA Aug 1, 2025
OBJECTIVE: This study aims to tackle the critical challenge of adapting deep learning (DL) models for deployment in real-world healthcare settings, specifically focusing on catastrophic forgetting due to distribution shifts between hospital and non-h...
ROC Curve Nutrition Surveys Metabolic Syndrome Datasets as Topic Humans Deep Learning
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Optimal Vasopressin Initiation in Septic Shock: The OVISS Reinforcement Learning Study.

JAMA May 20, 2025
IMPORTANCE: Norepinephrine is the first-line vasopressor for patients with septic shock. When and whether a second agent, such as vasopressin, should be added is unknown.
Norepinephrine Vasoconstrictor Agents Datasets as Topic Hospital Mortality Shock, Septic Observational Studies as Topic Reinforcement Machine Learning Practice Guidelines as Topic Organ Dysfunction Scores Vasopressins Electronic Health Records Clinical Decision-Making Female Aged Male Middle Aged Humans Critical Illness
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Applying AI to Support Categorization of Heterogeneous Epidemiological Datasets.

Studies in health technology and informatics May 15, 2025
The significance of Findable, Accessible, Interoperable, and Reusable (FAIR) data is increasing, particularly in the context of enhancing data reuse in research. The National Research Data Infrastructure for Personal Health Data (NFDI4Health) aims to...
Humans Artificial Intelligence Electronic Health Records Health Information Interoperability Germany Natural Language Processing Datasets as Topic Metadata
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Light Bladder Net: Non-invasive Bladder Cancer Prediction by Weighted Deep Learning Approaches and Graphical Data Transformation.

Anticancer research May 1, 2025
BACKGROUND/AIM: Bladder cancer (BCa) is associated with high recurrence rates, emphasizing the importance of early and accurate detection. This study aimed to develop a lightweight and fast deep learning model, Light-Bladder-Net (LBN), for non-invasi...
Predictive Value of Tests Area Under Curve Datasets as Topic Urinalysis Prediction Methods, Machine Detection Algorithms Deep Learning Urinary Bladder Neoplasms Early Detection of Cancer Female Sensitivity and Specificity Male Humans
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Development of machine learning-based models for vault prediction in implantable collamer lens surgery according to implant orientation.

Journal of cataract and refractive surgery May 1, 2025
PURPOSE: To develop a prediction model based on machine learning to calculate the postoperative vault and the ideal implantable collamer lens (ICL) size, considering for the first time the implantation orientation in a White population.
Male Phakic Intraocular Lenses Middle Aged Myopia Biometry Female Humans Datasets as Topic Visual Acuity Anterior Eye Segment Young Adult Machine Learning Random Allocation Tomography, Optical Coherence Adult Lens Implantation, Intraocular Retrospective Studies
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A dataset and benchmark for hospital course summarization with adapted large language models.

Journal of the American Medical Informatics Association : JAMIA Mar 1, 2025
OBJECTIVE: Brief hospital course (BHC) summaries are clinical documents that summarize a patient's hospital stay. While large language models (LLMs) depict remarkable capabilities in automating real-world tasks, their capabilities for healthcare appl...
Benchmarking Humans Datasets as Topic Large Language Models Electronic Health Records Natural Language Processing
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Researching public health datasets in the era of deep learning: a systematic literature review.

Health informatics journal Jan 1, 2025
Explore deep learning applications in predictive analytics for public health data, identify challenges and trends, and then understand the current landscape. A systematic literature review was conducted in June 2023 to search articles on public hea...
Public Health Humans Deep Learning Datasets as Topic
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FedPneu: Federated Learning for Pneumonia Detection across Multiclient Cross-Silo Healthcare Datasets.

Current medical imaging Jan 1, 2025
BACKGROUND: Pneumonia is an acute respiratory infection that has emerged as the predominant catalyst for escalating mortality rates worldwide. In the pursuit of the prevention and prediction of pneumonia, this work employs the development of an advan...
Pneumonia Datasets as Topic Federated Learning Humans Diagnosis, Computer-Assisted Deep Learning
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KPRR: a novel machine learning approach for effectively capturing nonadditive effects in genomic prediction.

Briefings in bioinformatics Nov 22, 2024
Nonadditive genetic effects pose significant challenges to traditional genomic selection methods for quantitative traits. Machine learning approaches, particularly kernel-based methods, offer promising solutions to overcome these limitations. In this...
Genome Epistasis, Genetic Machine Learning Oryza Animals Data Accuracy Models, Genetic Datasets as Topic
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