AIMC Topic: England

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Deep learning-based automated speech detection as a marker of social functioning in late-life depression.

Psychological medicine Jan 16, 2020
BACKGROUND: Late-life depression (LLD) is associated with poor social functioning. However, previous research uses bias-prone self-report scales to measure social functioning and a more objective measure is lacking. We tested a novel wearable device ...
Aged, 80 and over Male Aging Depressive Disorder, Major Humans Female Aged Wearable Electronic Devices Attention Neuropsychological Tests Social Interaction Social Adjustment Case-Control Studies Deep Learning Speech England
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The potential of placing a digital assistant in patients' homes.

The British journal of general practice : the journal of the Royal College of General Practitioners Dec 26, 2019
Public-Private Sector Partnerships Pilot Projects Humans England Cost-Benefit Analysis Artificial Intelligence Health Services Accessibility Access to Information Therapy, Computer-Assisted Chronic Disease Social Isolation Delivery of Health Care Home Care Services
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Decision tree machine learning applied to bovine tuberculosis risk factors to aid disease control decision making.

Preventive veterinary medicine Nov 30, 2019
Identifying and understanding the risk factors for endemic bovine tuberculosis (TB) in cattle herds is critical for the control of this disease. Exploratory machine learning techniques can uncover complex non-linear relationships and interactions wit...
Risk Factors Animals Prevalence Animal Husbandry England Machine Learning Tuberculosis, Bovine Cattle Decision Making Decision Trees Communicable Disease Control
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Can clinical audits be enhanced by pathway simulation and machine learning? An example from the acute stroke pathway.

BMJ open Sep 17, 2019
OBJECTIVE: To evaluate the application of clinical pathway simulation in machine learning, using clinical audit data, in order to identify key drivers for improving use and speed of thrombolysis at individual hospitals.
Thrombolytic Therapy Fibrinolytic Agents Stroke Brain Ischemia Computer Simulation Hospitals England Time Factors Tissue Plasminogen Activator Time-to-Treatment Clinical Audit Humans Machine Learning
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Machine learning to refine decision making within a syndromic surveillance service.

BMC public health May 14, 2019
BACKGROUND: Worldwide, syndromic surveillance is increasingly used for improved and timely situational awareness and early identification of public health threats. Syndromic data streams are fed into detection algorithms, which produce statistical al...
Risk Assessment Public Health England Decision Making Bayes Theorem Sentinel Surveillance Humans Machine Learning Algorithms
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Large-scale quantitative profiling of the Old English verse tradition.

Nature human behaviour Apr 8, 2019
The corpus of Old English verse is an indispensable source for scholars of the Indo-European tradition, early Germanic culture and English literary history. Although it has been the focus of sustained literary scholarship for over two centuries, Old ...
Poetry as Topic Data Mining England Linguistics Models, Theoretical Natural Language Processing History, Medieval Literature, Medieval Humans
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Towards a decision support tool for intensive care discharge: machine learning algorithm development using electronic healthcare data from MIMIC-III and Bristol, UK.

BMJ open Mar 7, 2019
OBJECTIVE: The primary objective is to develop an automated method for detecting patients that are ready for discharge from intensive care.
England Length of Stay Decision Support Techniques Humans Patient Readmission Patient Discharge Machine Learning Electronic Health Records Critical Care Algorithms Female Male
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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...
Needs Assessment Humans Emergency Service, Hospital Middle Aged Time Factors Female Aged, 80 and over Data Mining Risk Assessment Machine Learning Socioeconomic Factors Reproducibility of Results Young Adult England Sex Factors Electronic Health Records Health Status Risk Factors Adult Adolescent Health Services Needs and Demand Age Factors Male Aged Patient Admission
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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...
Nonprescription Drugs Male England Humans Models, Economic Machine Learning Self Medication Databases, Factual Female
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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...
Male Risk Assessment England Child Female Cluster Analysis Risk Factors Immunoglobulin E Hypersensitivity Asthma Data Mining Cross-Sectional Studies Allergens Humans Machine Learning Biomarkers
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