AIMC Topic: London

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Early risk assessment for COVID-19 patients from emergency department data using machine learning.

Scientific reports Feb 18, 2021
Since its emergence in late 2019, the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has caused a pandemic with more than 55 million reported cases and 1.3 million estimated deaths worldwide. While epidemiological and clinical character...
Aged, 80 and over Adult Male Middle Aged SARS-CoV-2 Risk Factors Hospitalization Aged Hospital Mortality ROC Curve Emergency Service, Hospital United Kingdom London Humans Risk Assessment Machine Learning Respiration, Artificial Pandemics Disease Progression COVID-19 Hospitals Retrospective Studies Female
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Comparison of deep learning with regression analysis in creating predictive models for SARS-CoV-2 outcomes.

BMC medical informatics and decision making Nov 19, 2020
BACKGROUND: Accurately predicting patient outcomes in Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) could aid patient management and allocation of healthcare resources. There are a variety of methods which can be used to develop progno...
Neural Networks, Computer Pandemics COVID-19 Algorithms Female Humans Betacoronavirus Pneumonia, Viral Models, Theoretical Coronavirus Infections Proportional Hazards Models London SARS-CoV-2 Male Middle Aged Deep Learning
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Co-existence or displacement: Do street trials of intelligent vehicles test society?

The British journal of sociology Jan 14, 2020
This paper examines recent street tests of autonomous vehicles (AVs) in the UK and makes the case for an experimental approach in the sociology of intelligent technology. In recent years intelligent vehicle testing has moved from the laboratory to th...
Humans Artificial Intelligence Technology Cities Automobiles London Motor Vehicles
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Clinical-learning versus machine-learning for transdiagnostic prediction of psychosis onset in individuals at-risk.

Translational psychiatry Oct 17, 2019
Predicting the onset of psychosis in individuals at-risk is based on robust prognostic model building methods including a priori clinical knowledge (also termed clinical-learning) to preselect predictors or machine-learning methods to select predicto...
Adolescent Registries Psychotic Disorders London Prognosis Female Young Adult Adult Male Middle Aged Risk Assessment Diagnosis, Computer-Assisted Humans Machine Learning
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Measuring social, environmental and health inequalities using deep learning and street imagery.

Scientific reports Apr 18, 2019
Cities are home to an increasing majority of the world's population. Currently, it is difficult to track social, economic, environmental and health outcomes in cities with high spatial and temporal resolution, needed to evaluate policies regarding ur...
Satellite Imagery Social Problems Health Status Disparities London Housing Crime Humans Neural Networks, Computer Socioeconomic Factors Income Employment Deep Learning Cities
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Detection of Suicidality in Adolescents with Autism Spectrum Disorders: Developing a Natural Language Processing Approach for Use in Electronic Health Records.

AMIA ... Annual Symposium proceedings. AMIA Symposium Apr 16, 2018
Over 15% of young people with autism spectrum disorders (ASD) will contemplate or attempt suicide during adolescence. Yet, there is limited evidence concerning risk factors for suicidality in childhood ASD. Electronic health records (EHRs) can be use...
London Suicidal Ideation Natural Language Processing Datasets as Topic Information Storage and Retrieval Autism Spectrum Disorder Electronic Health Records Risk Factors Adolescent Humans Data Analysis
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Friend or foe: robots in the NHS.

BMJ (Clinical research ed.) Feb 8, 2017
Inventions London Humans Robotics State Medicine
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Natural language processing to extract symptoms of severe mental illness from clinical text: the Clinical Record Interactive Search Comprehensive Data Extraction (CRIS-CODE) project.

BMJ open Jan 17, 2017
OBJECTIVES: We sought to use natural language processing to develop a suite of language models to capture key symptoms of severe mental illness (SMI) from clinical text, to facilitate the secondary use of mental healthcare data in research.
Humans Mental Disorders Databases, Factual Electronic Health Records Chronic Disease Natural Language Processing Registries Medical Informatics Applications Data Collection Information Storage and Retrieval Medical Informatics London
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Evaluating clustering methods within the Artificial Ecosystem Algorithm and their application to bike redistribution in London.

Bio Systems May 10, 2016
This paper proposes and evaluates a solution to the truck redistribution problem prominent in London's Santander Cycle scheme. Due to the complexity of this NP-hard combinatorial optimisation problem, no efficient optimisation techniques are known to...
Humans London Artificial Intelligence Bicycling Transportation Ecosystem Algorithms Time Factors Reproducibility of Results Environment Design Cluster Analysis
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Population pharmacokinetic/pharmacodynamic assessment of pharmacological effect of a selective estrogen receptor β agonist on total testosterone in healthy men.

Clinical pharmacology in drug development Jun 8, 2015
BACKGROUND: LY500307 is a highly selective estrogen receptor β (ERβ) agonist, which loses its selectivity at high dose and leads to undesirable suppression of total testosterone (TT) concentration. The objective of the present analysis was to define ...
Estrogen Receptor beta Models, Biological Healthy Volunteers Fourier Analysis Humans Circadian Rhythm Nonlinear Dynamics London Male Biomarkers Administration, Oral Benzopyrans Selective Estrogen Receptor Modulators Middle Aged Young Adult Cross-Over Studies Drug Administration Schedule Testosterone Adult Single-Blind Method
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