Primary Care

Opinion versus practice regarding the use of rehabilitation services in home care: an investigation using machine learning algorithms.

BACKGROUND: Resources for home care rehabilitation are limited, and many home care clients who could...

Gradient liquid chromatographic retention time prediction for suspect screening applications: A critical assessment of a generalised artificial neural network-based approach across 10 multi-residue reversed-phase analytical methods.

For the first time, the performance of a generalised artificial neural network (ANN) approach for th...

Clinical evaluation of the newly developed infectious disease/fever screening radar system using the neural network and fuzzy grouping method for travellers with suspected infectious diseases at Narita International Airport Clinic.

Suspect screening of large numbers of emerging contaminants in environmental waters using artificial neural networks for chromatographic retention time prediction and high resolution mass spectrometry data analysis.

The recent development of broad-scope high resolution mass spectrometry (HRMS) screening methods has...

Robots and type 1 diabetes.

The association between cardiorespiratory fitness and abdominal adiposity in postmenopausal, physically inactive South Asian women.

In South Asians, a unique obesity phenotype of high abdominal fat is associated with increased cardi...

Coronary artery disease risk assessment from unstructured electronic health records using text mining.

Coronary artery disease (CAD) often leads to myocardial infarction, which may be fatal. Risk factors...

Adapting existing natural language processing resources for cardiovascular risk factors identification in clinical notes.

The 2014 i2b2 natural language processing shared task focused on identifying cardiovascular risk fac...

Machine-learning scoring functions to improve structure-based binding affinity prediction and virtual screening.

Docking tools to predict whether and how a small molecule binds to a target can be applied if a stru...

A Soft Computing Approach to Kidney Diseases Evaluation.

Kidney renal failure means that one's kidney have unexpectedly stopped functioning, i.e., once chron...

A fuzzy-ontology-oriented case-based reasoning framework for semantic diabetes diagnosis.

OBJECTIVE: Case-based reasoning (CBR) is a problem-solving paradigm that uses past knowledge to inte...

Combination of counterpropagation artificial neural networks and antioxidant activities for comprehensive evaluation of associated-extraction efficiency of various cyclodextrins in the traditional Chinese formula Xue-Zhi-Ning.

Xue-Zhi-Ning (XZN) is a widely used traditional Chinese medicine formula to treat hyperlipidemia. Re...

A Context-Aware Interactive Health Care System Based on Ontology and Fuzzy Inference.

In the present society, most families are double-income families, and as the long-term care is serio...

Machine Learning Techniques for Prediction of Early Childhood Obesity.

OBJECTIVES: This paper aims to predict childhood obesity after age two, using only data collected pr...

Participatory approach to the development of a knowledge base for problem-solving in diabetes self-management.

OBJECTIVE: To develop an expandable knowledge base of reusable knowledge related to self-management ...

A systematic comparison of feature space effects on disease classifier performance for phenotype identification of five diseases.

Automated phenotype identification plays a critical role in cohort selection and bioinformatics data...

Identifying risk factors for heart disease over time: Overview of 2014 i2b2/UTHealth shared task Track 2.

The second track of the 2014 i2b2/UTHealth natural language processing shared task focused on identi...

A risk management model for familial breast cancer: A new application using Fuzzy Cognitive Map method.

Breast cancer is the most deadly disease affecting women and thus it is natural for women aged 40-49...

Cheminformatics Based Machine Learning Models for AMA1-RON2 Abrogators for Inhibiting Plasmodium falciparum Erythrocyte Invasion.

Malaria remains a dreadful disease by putting every year about 3.4 billion people at risk and result...

Multistage virtual screening and identification of novel HIV-1 protease inhibitors by integrating SVM, shape, pharmacophore and docking methods.

The HIV-1 protease has proven to be a crucial component of the HIV replication machinery and a relia...

Using local lexicalized rules to identify heart disease risk factors in clinical notes.

Heart disease is the leading cause of death globally and a significant part of the human population ...