AIMC Topic: England

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Predicting the risk of emergency admission with machine learning: Development and validation using linked electronic health records.

PLoS medicine Nov 20, 2018
BACKGROUND: Emergency admissions are a major source of healthcare spending. We aimed to derive, validate, and compare conventional and machine learning models for prediction of the first emergency admission. Machine learning methods are capable of ca...
Machine Learning Electronic Health Records Female Reproducibility of Results Risk Factors Humans Patient Admission Needs Assessment Adolescent Time Factors Socioeconomic Factors Health Status Aged Aged, 80 and over Young Adult Adult Male Middle Aged Age Factors Risk Assessment Emergency Service, Hospital England Data Mining Sex Factors Health Services Needs and Demand
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Using machine learning to investigate self-medication purchasing in England via high street retailer loyalty card data.

PloS one Nov 19, 2018
The availability alongside growing awareness of medicine has led to increased self-treatment of minor ailments. Self-medication is where one 'self' diagnoses and prescribes over the counter medicines for treatment. The self-care movement has importan...
Databases, Factual Female Male England Humans Machine Learning Models, Economic Self Medication Nonprescription Drugs
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Machine learning to identify pairwise interactions between specific IgE antibodies and their association with asthma: A cross-sectional analysis within a population-based birth cohort.

PLoS medicine Nov 13, 2018
BACKGROUND: The relationship between allergic sensitisation and asthma is complex; the data about the strength of this association are conflicting. We propose that the discrepancies arise in part because allergic sensitisation may not be a single ent...
Biomarkers Female Risk Factors Asthma Cross-Sectional Studies Humans Machine Learning Cluster Analysis Immunoglobulin E Male Data Mining Risk Assessment Allergens England Hypersensitivity Child
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Feasibility study of a randomised controlled trial to investigate the effectiveness of using a humanoid robot to improve the social skills of children with autism spectrum disorder (Kaspar RCT): a study protocol.

BMJ open Jun 22, 2017
INTRODUCTION: Interventions using robot-assisted therapy may be beneficial for the social skills development of children with autism spectrum disorder (ASD); however, randomised controlled trials (RCTs) are lacking. The present research aims to asses...
Play and Playthings Social Skills England Surveys and Questionnaires Child, Preschool Child Feasibility Studies Therapy, Computer-Assisted Man-Machine Systems Research Design Robotics Single-Blind Method Autism Spectrum Disorder Humans Female Male
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Remote sensing-based measurement of Living Environment Deprivation: Improving classical approaches with machine learning.

PloS one May 2, 2017
This paper provides evidence on the usefulness of very high spatial resolution (VHR) imagery in gathering socioeconomic information in urban settlements. We use land cover, spectral, structure and texture features extracted from a Google Earth image ...
Remote Sensing Technology Least-Squares Analysis Linear Models Humans Machine Learning Socioeconomic Factors Urban Population Data Interpretation, Statistical England Cities
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An evidence synthesis of the international knowledge base for new care models to inform and mobilise knowledge for multispecialty community providers (MCPs).

Systematic reviews Oct 1, 2016
BACKGROUND: NHS England's Five Year Forward View (NHS England, Five Year Forward View, 2014) formally introduced a strategy for new models of care driven by simultaneous pressures to contain costs, improve care and deliver services closer to home thr...
Community Networks Community Health Services Knowledge Bases Humans Cost-Benefit Analysis Medicine State Medicine England Evidence-Based Medicine
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Bilingual term alignment from comparable corpora in English discharge summary and Chinese discharge summary.

BMC bioinformatics May 9, 2015
BACKGROUND: Electronic medical record (EMR) systems have become widely used throughout the world to improve the quality of healthcare and the efficiency of hospital services. A bilingual medical lexicon of Chinese and English is needed to meet the de...
Medical Informatics Multilingualism Translating Natural Language Processing Patient Discharge Asian People Information Storage and Retrieval Humans Software England
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Mortality risk prediction in burn injury: Comparison of logistic regression with machine learning approaches.

Burns : journal of the International Society for Burn Injuries Apr 27, 2015
INTRODUCTION: Predicting mortality from burn injury has traditionally employed logistic regression models. Alternative machine learning methods have been introduced in some areas of clinical prediction as the necessary software and computational faci...
Logistic Models Software Support Vector Machine Decision Support Techniques Age Factors Wales Female Bayes Theorem Adolescent Models, Statistical Smoke Inhalation Injury Registries Young Adult Child, Preschool Burns Child Humans Risk Assessment Adult Body Surface Area ROC Curve Infant Neural Networks, Computer Male England Machine Learning
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Margaret McCartney: Meet the Robodocs: resilient automatons who do as they're told.

BMJ (Clinical research ed.) Feb 2, 2015
Family Practice England Robotics Referral and Consultation State Medicine
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Classifier calibration using splined empirical probabilities in clinical risk prediction.

Health care management science Feb 21, 2014
The aims of supervised machine learning (ML) applications fall into three broad categories: classification, ranking, and calibration/probability estimation. Many ML methods and evaluation techniques relate to the first two. Nevertheless, there are ma...
Artificial Intelligence Algorithms Risk Assessment England Myocardial Infarction Probability Calibration Hospital Mortality ROC Curve Process Assessment, Health Care Humans
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