AIMC Topic: Medical Informatics

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Artificial Intelligence Technology-Based Medical Information Processing and Emergency First Aid Nursing Management.

Computational and mathematical methods in medicine
This study was aimed at exploring the new management mode of medical information processing and emergency first aid nursing management under the new artificial intelligence technology. This study will use the artificial intelligence algorithm to opti...

A Master-Slave Binary Grey Wolf Optimizer for Optimal Feature Selection in Biomedical Data Classification.

BioMed research international
A new master-slave binary grey wolf optimizer (MSBGWO) is introduced. A master-slave learning scheme is introduced to the grey wolf optimizer (GWO) to improve its ability to explore and get better solutions in a search space. Five high-dimensional bi...

Artificial intelligence-enhanced drug design and development: Toward a computational precision medicine.

Drug discovery today
Artificial Intelligence (AI) relies upon a convergence of technologies with further synergies with life science technologies to capture the value of massive multi-modal data in the form of predictive models supporting decision-making. AI and machine ...

Knowledge Representation and Management: Interest in New Solutions for Ontology Curation.

Yearbook of medical informatics
OBJECTIVE: To select, present and summarize some of the best papers in the field of Knowledge Representation and Management (KRM) published in 2020.

Notable Papers and New Directions in Sensors, Signals, and Imaging Informatics.

Yearbook of medical informatics
OBJECTIVE: To identify and highlight research papers representing noteworthy developments in signals, sensors, and imaging informatics in 2020.

Hybrid Gradient Descent Grey Wolf Optimizer for Optimal Feature Selection.

BioMed research international
Feature selection is the process of decreasing the number of features in a dataset by removing redundant, irrelevant, and randomly class-corrected data features. By applying feature selection on large and highly dimensional datasets, the redundant fe...

Diagnosis of Wilson Disease and Its Phenotypes by Using Artificial Intelligence.

Biomolecules
WD is caused by variants disrupting copper efflux resulting in excessive copper accumulation mainly in liver and brain. The diagnosis of WD is challenged by its variable clinical course, onset, morbidity, and variant type. Currently it is diagnosed...

High-Risk Prediction of Cardiovascular Diseases via Attention-Based Deep Neural Networks.

IEEE/ACM transactions on computational biology and bioinformatics
High-risk prediction of cardiovascular disease is of great significance and impendency in medical fields with the increasing phenomenon of sub-health these years. Most existing pathological methods for the prognosis prediction are either costly or pr...

CCFS: A Confidence-Based Cost-Effective Feature Selection Scheme for Healthcare Data Classification.

IEEE/ACM transactions on computational biology and bioinformatics
Feature selection (FS) is one of the fundamental data processing techniques in various machine learning algorithms, especially for classification of healthcare data. However, it is a challenging issue due to the large search space. Binary Particle Sw...