Geriatrics

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

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What Do Warhol, Pollock, and Murakami Teach Us About AI in Health Care?

As with medicine, artistic practice has a historical relationship with technologies. As technology a...

SeqSleepNet: End-to-End Hierarchical Recurrent Neural Network for Sequence-to-Sequence Automatic Sleep Staging.

Automatic sleep staging has been often treated as a simple classification problem that aims at deter...

Multi-task exclusive relationship learning for alzheimer's disease progression prediction with longitudinal data.

Alzheimer's disease (AD) is a neurodegenerative disorder characterized by progressive impairment of ...

Predicting Long-Term Mortality after Acute Coronary Syndrome Using Machine Learning Techniques and Hematological Markers.

INTRODUCTION: Hematological indices including red cell distribution width and neutrophil to lymphocy...

RNN-based longitudinal analysis for diagnosis of Alzheimer's disease.

Alzheimer's disease (AD) is an irreversible neurodegenerative disorder with progressive impairment o...

Development of a cardiac-centered frailty ontology.

BACKGROUND: A Cardiac-centered Frailty Ontology can be an important foundation for using NLP to asse...

A Novel Protein Subcellular Localization Method With CNN-XGBoost Model for Alzheimer's Disease.

The disorder distribution of protein in the compartment or organelle leads to many human diseases, i...

Network-Based Assessment of Adverse Drug Reaction Risk in Polypharmacy Using High-Throughput Screening Data.

The risk of adverse drug reactions increases in a polypharmacology setting. High-throughput drug scr...

Blood Biochemistry Analysis to Detect Smoking Status and Quantify Accelerated Aging in Smokers.

There is an association between smoking and cancer, cardiovascular disease and all-cause mortality. ...

Machine learning methods for detecting urinary tract infection and analysing daily living activities in people with dementia.

Dementia is a neurological and cognitive condition that affects millions of people around the world....

A parameter-efficient deep learning approach to predict conversion from mild cognitive impairment to Alzheimer's disease.

Some forms of mild cognitive impairment (MCI) are the clinical precursors of Alzheimer's disease (AD...

Sleep Duration and Diabetic Kidney Disease.

Abnormally short or long durations of sleep have been proposed as a risk factors for diabetes and i...

Training recurrent neural networks robust to incomplete data: Application to Alzheimer's disease progression modeling.

Disease progression modeling (DPM) using longitudinal data is a challenging machine learning task. E...

Harnessing networks and machine learning in neuropsychiatric care.

The development of next-generation therapies for neuropsychiatric illness will likely rely on a prec...

Prediction of Conversion From Amnestic Mild Cognitive Impairment to Alzheimer's Disease Based on the Brain Structural Connectome.

Early prediction of disease progression in patients with amnestic mild cognitive impairment (aMCI) ...

Mining fall-related information in clinical notes: Comparison of rule-based and novel word embedding-based machine learning approaches.

BACKGROUND: Natural language processing (NLP) of health-related data is still an expertise demanding...

Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network.

Computerized electrocardiogram (ECG) interpretation plays a critical role in the clinical ECG workfl...

Prevalence of Vitamin D Inadequacy Among Chinese Postmenopausal Women: A Nationwide, Multicenter, Cross-Sectional Study.

We aimed to investigate the status of serum 25-hydroxyvitamin D [25(OH)D] among Chinese postmenopau...

Fully automated detection of retinal disorders by image-based deep learning.

PURPOSE: With the aging population and the global diabetes epidemic, the prevalence of age-related m...

Polypharmacology Browser PPB2: Target Prediction Combining Nearest Neighbors with Machine Learning.

Here we report PPB2 as a target prediction tool assigning targets to a query molecule based on ChEMB...

CRlncRC: a machine learning-based method for cancer-related long noncoding RNA identification using integrated features.

BACKGROUND: Long noncoding RNAs (lncRNAs) are widely involved in the initiation and development of c...

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