AI Medical Compendium Journal:
Journal of biomedical informatics

Showing 111 to 120 of 650 articles

Attention-based multimodal fusion with contrast for robust clinical prediction in the face of missing modalities.

Journal of biomedical informatics
OBJECTIVE: With the increasing amount and growing variety of healthcare data, multimodal machine learning supporting integrated modeling of structured and unstructured data is an increasingly important tool for clinical machine learning tasks. Howeve...

Few-shot learning for medical text: A review of advances, trends, and opportunities.

Journal of biomedical informatics
BACKGROUND: Few-shot learning (FSL) is a class of machine learning methods that require small numbers of labeled instances for training. With many medical topics having limited annotated text-based data in practical settings, FSL-based natural langua...

A drug molecular classification model based on graph structure generation.

Journal of biomedical informatics
Molecular property prediction based on artificial intelligence technology has significant prospects in speeding up drug discovery and reducing drug discovery costs. Among them, molecular property prediction based on graph neural networks (GNNs) has r...

Individual health-disease phase diagrams for disease prevention based on machine learning.

Journal of biomedical informatics
Early disease detection and prevention methods based on effective interventions are gaining attention worldwide. Progress in precision medicine has revealed that substantial heterogeneity exists in health data at the individual level and that complex...

Self-prediction of relations in GO facilitates its quality auditing.

Journal of biomedical informatics
As applications of the gene ontology (GO) increase rapidly in the biomedical field, quality auditing of it is becoming more and more important. Existing auditing methods are mostly based on rules, observed patterns or hypotheses. In this study, we pr...

Aligned deep neural network for integrative analysis with high-dimensional input.

Journal of biomedical informatics
OBJECTIVE: Deep neural network (DNN) techniques have demonstrated significant advantages over regression and some other techniques. In recent studies, DNN-based analysis has been conducted on data with high-dimensional input such as omics measurement...

Localizing in-domain adaptation of transformer-based biomedical language models.

Journal of biomedical informatics
In the era of digital healthcare, the huge volumes of textual information generated every day in hospitals constitute an essential but underused asset that could be exploited with task-specific, fine-tuned biomedical language representation models, i...

Deep learning prediction models based on EHR trajectories: A systematic review.

Journal of biomedical informatics
BACKGROUND: Electronic health records (EHRs) are generated at an ever-increasing rate. EHR trajectories, the temporal aspect of health records, facilitate predicting patients' future health-related risks. It enables healthcare systems to increase the...

Overview of the 2022 n2c2 shared task on contextualized medication event extraction in clinical notes.

Journal of biomedical informatics
BACKGROUND: An accurate medication history, foundational for providing quality medical care, requires understanding of medication change events documented in clinical notes. However, extracting medication changes without the necessary clinical contex...

Taxonomy of hybrid architectures involving rule-based reasoning and machine learning in clinical decision systems: A scoping review.

Journal of biomedical informatics
BACKGROUND: As the application of Artificial Intelligence (AI) technologies increases in the healthcare sector, the industry faces a need to combine medical knowledge, often expressed as clinical rules, with advances in machine learning (ML), which o...