Geriatrics

Medicare

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

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Geriatrics Subcategories: Alzheimer's Disease Medicare
Showing 316-336 of 3,442 articles
Relieving the Incompatibility of Network Representation and Classification for Long-Tailed Data Distribution.

In the real-world scenario, data often have a long-tailed distribution and training deep neural netw...

Beneficent dehumanization: Employing artificial intelligence and carebots to mitigate shame-induced barriers to medical care.

As costs decline and technology inevitably improves, current trends suggest that artificial intellig...

Categorical Matrix Completion With Active Learning for High-Throughput Screening.

The recent advances in wet-lab automation enable high-throughput experiments to be conducted seamles...

BreakNet: detecting deletions using long reads and a deep learning approach.

BACKGROUND: Structural variations (SVs) occupy a prominent position in human genetic diversity, and ...

Demystifying the long noncoding RNA landscape of small EVs derived from human mesenchymal stromal cells.

INTRODUCTION: The regenerative capacity of mesenchymal stromal cells or medicinal signaling cells (M...

DeepPhospho accelerates DIA phosphoproteome profiling through in silico library generation.

Phosphoproteomics integrating data-independent acquisition (DIA) enables deep phosphoproteome profil...

Free Space Detection Using Camera-LiDAR Fusion in a Bird's Eye View Plane.

Although numerous road segmentation studies have utilized vision data, obtaining robust classificati...

Training method and system for stress management and mental health care of managers based on deep learning.

In recent years, with the rapid development of the economy, in order to stabilize in the market and ...

Machine learning random forest for predicting oncosomatic variant NGS analysis.

Since 2017, we have used IonTorrent NGS platform in our hospital to diagnose and treat cancer. Analy...

Lightweight Deep Neural Network Method for Water Body Extraction from High-Resolution Remote Sensing Images with Multisensors.

Rapid and accurate extraction of water bodies from high-spatial-resolution remote sensing images is ...

Development and Validation of a Deep Learning Model for Earlier Detection of Cognitive Decline From Clinical Notes in Electronic Health Records.

IMPORTANCE: Detecting cognitive decline earlier among older adults can facilitate enrollment in clin...

Effective gene expression prediction from sequence by integrating long-range interactions.

How noncoding DNA determines gene expression in different cell types is a major unsolved problem, an...

BiLSTM-I: A Deep Learning-Based Long Interval Gap-Filling Method for Meteorological Observation Data.

Complete and high-resolution temperature observation data are important input parameters for agromet...

RGB-D scene analysis in the NICU.

Continuity of care is achieved in the neonatal intensive care unit (NICU) through careful documentat...

Topology Automated Force-Field Interactions (TAFFI): A Framework for Developing Transferable Force Fields.

Force-field development has undergone a revolution in the past decade with the proliferation of quan...

NanoCaller for accurate detection of SNPs and indels in difficult-to-map regions from long-read sequencing by haplotype-aware deep neural networks.

Long-read sequencing enables variant detection in genomic regions that are considered difficult-to-m...

Limitations of Transformers on Clinical Text Classification.

Bidirectional Encoder Representations from Transformers (BERT) and BERT-based approaches are the cur...

CYPlebrity: Machine learning models for the prediction of inhibitors of cytochrome P450 enzymes.

The vast majority of approved drugs are metabolized by the five major cytochrome P450 (CYP) isozymes...

An On-Demand Charging for Connected Target Coverage in WRSNs Using Fuzzy Logic and Q-Learning.

In wireless rechargeable sensor networks (WRSNs), a mobile charger (MC) moves around to compensate f...

Machine learning in medicine: It has arrived, let's embrace it.

Machine learning and artificial intelligence (AI) have arrived in medicine and the healthcare commun...

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