Primary Care

[COLONSCORE: THE USE OF MACHINE LEARNING OF BIG DATA TO DETECT COLORECTAL CANCER].

The use of big data is in its first years of entering the medical world. Big data research enables a...

Mechanistic machine learning: how data assimilation leverages physiologic knowledge using Bayesian inference to forecast the future, infer the present, and phenotype.

We introduce data assimilation as a computational method that uses machine learning to combine data ...

[Big data and deep learning in preventive and rehabilitation medicine].

The digitalization in medicine has led to almost universal availability of information to different ...

[Acupoint injection of BMSCs combined with Chinese herbs for capillary density in ischemic hind limb of diabetes mellitus rats].

OBJECTIVE: To observe the effect of acupoint injection of bone mesenchymal stem cells (BMSCs) combin...

Unique Views on Obesity-Related Behaviors and Environments: Research Using Still and Video Images.

OBJECTIVES: To document challenges to and benefits from research involving the use of images by capt...

Predictive markers of depression in hypertension.

Hypertension and depression, as 2 major public health issues, are closely related. For patients havi...

Machine learning approach for early detection of autism by combining questionnaire and home video screening.

BACKGROUND: Existing screening tools for early detection of autism are expensive, cumbersome, time- ...

A Unified Optic Nerve Head and Optic Cup Segmentation Using Unsupervised Neural Networks for Glaucoma Screening.

Segmentation of retinal anatomical features such as optic nerve head (ONH) and optic cup, the bright...

Personalised meal eating behaviour analysis via semi-supervised learning.

Automated monitoring and analysis of eating behaviour patterns, i.e., "how one eats", has recently r...

Multi-Cell Multi-Task Convolutional Neural Networks for Diabetic Retinopathy Grading.

Diabetic Retinopathy (DR) is a non-negligible eye disease among patients with Diabetes Mellitus, and...

A New and Improved Method for Automated Screening of Age-Related Macular Degeneration Using Ensemble Deep Neural Networks.

In this paper, we provide a new framework on deep learning based automated screening method for find...

Knowledge-driven dictionaries for sparse representation of continuous glucose monitoring signals.

Continuous glucose monitoring (CGM) of patients with diabetes allows the effective management of the...

Joint Optic Disc and Cup Segmentation Based on Multi-Label Deep Network and Polar Transformation.

Glaucoma is a chronic eye disease that leads to irreversible vision loss. The cup to disc ratio (CDR...

Discriminating early- and late-stage cancers using multiple kernel learning on gene sets.

MOTIVATION: Identifying molecular mechanisms that drive cancers from early to late stages is highly ...

WDL-RF: predicting bioactivities of ligand molecules acting with G protein-coupled receptors by combining weighted deep learning and random forest.

MOTIVATION: Precise assessment of ligand bioactivities (including IC50, EC50, Ki, Kd, etc.) is essen...

The New Possibilities from "Big Data" to Overlooked Associations Between Diabetes, Biochemical Parameters, Glucose Control, and Osteoporosis.

PURPOSE OF REVIEW: To review current practices and technologies within the scope of "Big Data" that ...

Using Unsupervised Machine Learning to Identify Subgroups Among Home Health Patients With Heart Failure Using Telehealth.

This study explored the use of unsupervised machine learning to identify subgroups of patients with ...

A Preventive Model for Muscle Injuries: A Novel Approach based on Learning Algorithms.

INTRODUCTION: The application of contemporary statistical approaches coming from Machine Learning an...

[Technical advancement in surgical treatment of portal hypertension].

Recently, there have been many developments and improvements in portal hypertension surgery, but the...

Artificial intelligence in diabetes care.

Decision Support in Diabetes Care: The Challenge of Supporting Patients in Their Daily Living Using a Mobile Glucose Predictor.

BACKGROUND: In type 1 diabetes mellitus (T1DM), patients play an active role in their own care and n...