AIMC Topic: Datasets as Topic
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Quantifying care coordination using natural language processing and domain-specific ontology.
Journal of the American Medical Informatics Association : JAMIA
Oct 16, 2014
OBJECTIVE: This research identifies specific care coordination activities used by Aging in Place (AIP) nurse care coordinators and home healthcare (HHC) nurses when coordinating care for older community-dwelling adults and suggests a method to quanti...
Evaluating the state of the art in disorder recognition and normalization of the clinical narrative.
Journal of the American Medical Informatics Association : JAMIA
Aug 21, 2014
OBJECTIVE: The ShARe/CLEF eHealth 2013 Evaluation Lab Task 1 was organized to evaluate the state of the art on the clinical text in (i) disorder mention identification/recognition based on Unified Medical Language System (UMLS) definition (Task 1a) a...
HBUED: An EEG dataset for emotion recognition.
Journal of affective disorders
Sep 15, 2025
Emotion recognition via electroencephalogram (EEG) data is crucial for improving human-computer interaction. In practice, researchers require a substantial quantity of EEG samples to train and validate models. However, existing EEG datasets typically...
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 ...
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...
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.
Practice Guidelines as Topic
Organ Dysfunction Scores
Vasopressins
Reinforcement Machine Learning
Norepinephrine
Vasoconstrictor Agents
Datasets as Topic
Female
Aged
Male
Shock, Septic
Observational Studies as Topic
Middle Aged
Hospital Mortality
Critical Illness
Electronic Health Records
Clinical Decision-Making
Humans
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...
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...
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.
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...
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