Geriatrics

Medicare

Latest AI and machine learning research in medicare for healthcare professionals.

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Geriatrics Subcategories: Alzheimer's Disease Medicare
Showing 547-567 of 3,446 articles
Increasing the efficiency of trial-patient matching: automated clinical trial eligibility pre-screening for pediatric oncology patients.

BACKGROUND: Manual eligibility screening (ES) for a clinical trial typically requires a labor-intens...

A support vector machine approach for truncated fingerprint image detection from sweeping fingerprint sensors.

A sweeping fingerprint sensor converts fingerprints on a row by row basis through image reconstructi...

A new modeling approach for quantifying expert opinion in the drug discovery process.

Expert opinion plays an important role when choosing clusters of chemical compounds for further inve...

EcoliNet: a database of cofunctional gene network for Escherichia coli.

During the past several decades, Escherichia coli has been a treasure chest for molecular biology. T...

Predicting inpatient stay lasting 2 midnights or longer after robotic surgery for endometrial cancer.

OBJECTIVE: To estimate the rate of inpatient stay and the factors predicting inpatient status after ...

Topographic differences in EEG microstates: distinguishing juvenile myoclonic epilepsy from frontal lobe epilepsy.

UNLABELLED: This study aims to develop an exploratory classification model for Juvenile Myoclonic Ep...

Dynamic Training Enhances Machine Learning Potentials for Long-Lasting Molecular Dynamics.

Molecular dynamics (MD) simulations are vital for exploring complex systems in computational physics...

Empirical Antonym Implementation in the UMLS SPECIALIST Lexicon.

Antonyms are words that have opposite or contrasting meanings in a specific domain. For example, "in...

Ensuring SOTIF: Enhanced object detection techniques for autonomous driving.

Neural networks' insufficient interpretability can lead to unguaranteed Safety of the Intended Funct...

Artificial Intelligence and Machine Learning Innovations to Improve Design and Representativeness in Oncology Clinical Trials.

The integration of artificial intelligence (AI) and machine learning (ML) in oncology clinical trial...

Machine learning positioning algorithms for long semi-monolithic scintillator PET detectors.

In this work, machine learning positioning algorithms are developed to improve the spatial resolutio...

Evaluating machine- and deep learning approaches for artifact detection in infant EEG: classifier performance, certainty, and training size effects.

Electroencephalography (EEG) is essential for studying infant brain activity but is highly susceptib...

AI-based decoding of long covid cognitive impairments in mice using automated behavioral system and comparative transcriptomic analysis.

Long COVID (LC) following SARS-CoV-2 infection affects millions of individuals world-wide and manife...

Deep learning-based prediction of individualized Real-time FSH doses in GnRH agonist long protocols.

BACKGROUND: Individualizing follicle-stimulating hormone (FSH) dosing during controlled ovarian stim...

Optimizing coverage in wireless sensor networks using deep reinforcement learning with graph neural networks.

In Wireless Sensor Networks (WSNs), achieving optimal coverage in dynamic environments remains a sig...

Personalized Nutrition Strategies for Patients in the Intensive Care Unit: A Narrative Review on the Future of Critical Care Nutrition.

Critically ill patients in intensive care units (ICUs) are at high risk of malnutrition, which can ...

The long journey of artificial intelligence in medicine: an overview.

Artificial intelligence (AI) has its roots in the history of philosophy and of applied mathematics o...

An Intelligent Grading Model for Myopic Maculopathy Based on Long-Tailed Learning.

PURPOSE: To develop an intelligent grading model for myopic maculopathy based on a long-tail learnin...

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