AIMC Journal:
BMJ open

Showing 181 to 190 of 213 articles

Machine learning with sparse nutrition data to improve cardiovascular mortality risk prediction in the USA using nationally randomly sampled data.

BMJ open Nov 28, 2019
OBJECTIVES: We aimed to test whether or not adding (1) nutrition predictor variables and/or (2) using machine learning models improves cardiovascular death prediction versus standard Cox models without nutrition predictor variables.
Machine Learning Risk Assessment Humans Aged Algorithms Nutrition Surveys Male United States Retrospective Studies Cardiovascular Diseases Proportional Hazards Models Female Middle Aged Diet Records
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Comparing the predictive ability of a commercial artificial intelligence early warning system with physician judgement for clinical deterioration in hospitalised general internal medicine patients: a prospective observational study.

BMJ open Oct 10, 2019
OBJECTIVE: Our study compares physician judgement with an automated early warning system (EWS) for predicting clinical deterioration of hospitalised general internal medicine patients.
Judgment Early Warning Score Clinical Deterioration Prospective Studies Humans Middle Aged Female Clinical Competence Artificial Intelligence Adult Hospitalization Algorithms Internal Medicine Male Aged Physicians
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Keratoconus detection using deep learning of colour-coded maps with anterior segment optical coherence tomography: a diagnostic accuracy study.

BMJ open Sep 27, 2019
OBJECTIVE: To evaluate the diagnostic accuracy of keratoconus using deep learning of the colour-coded maps measured with the swept-source anterior segment optical coherence tomography (AS-OCT).
Tomography, Optical Coherence Disease Progression Humans Case-Control Studies Retrospective Studies Deep Learning Sensitivity and Specificity Keratoconus
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Companion robots for older people: importance of user-centred design demonstrated through observations and focus groups comparing preferences of older people and roboticists in South West England.

BMJ open Sep 26, 2019
OBJECTIVE: Companion robots, such as Paro, may reduce agitation and depression for older people with dementia. However, contradictory research outcomes suggest robot design is not always optimal. While many researchers suggest user-centred design is ...
Humans Female Aged Middle Aged Dementia Speech Patient Preference Robotics Qualitative Research Friends Attitude Aged, 80 and over Engineering Focus Groups Male
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Developing assistive robots for people with mild cognitive impairment and mild dementia: a qualitative study with older adults and experts in aged care.

BMJ open Sep 24, 2019
OBJECTIVES: This research is part of an international project to design and test a home-based healthcare robot to help older adults with mild cognitive impairment (MCI) or early dementia. The aim was to investigate the perceived usefulness of differe...
Self-Help Devices Needs Assessment Expert Testimony Reminder Systems Robotics Activities of Daily Living Technology Assessment, Biomedical Caregivers Geriatrics Female Aged Male Qualitative Research Attitude of Health Personnel Cognitive Dysfunction Dementia Humans
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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.
England Time Factors Thrombolytic Therapy Fibrinolytic Agents Stroke Humans Machine Learning Computer Simulation Hospitals Brain Ischemia Tissue Plasminogen Activator Time-to-Treatment Clinical Audit
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Training machine learning models to predict 30-day mortality in patients discharged from the emergency department: a retrospective, population-based registry study.

BMJ open Aug 10, 2019
OBJECTIVES: The aim of this work was to train machine learning models to identify patients at end of life with clinically meaningful diagnostic accuracy, using 30-day mortality in patients discharged from the emergency department (ED) as a proxy.
Young Adult Adult Male Middle Aged Emergency Service, Hospital Registries Patient Discharge Time Factors Logistic Models Female Sweden Aged Aged, 80 and over Humans Mortality Machine Learning Retrospective Studies Electronic Health Records
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Emergence of digital biomarkers to predict and modify treatment efficacy: machine learning study.

BMJ open Jul 23, 2019
OBJECTIVES: Development of digital biomarkers to predict treatment response to a digital behavioural intervention.
Health Behavior Datasets as Topic Sensitivity and Specificity Humans Male Machine Learning Middle Aged Algorithms Hypertension Female
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Is it possible to automatically assess pretreatment digital rectal examination documentation using natural language processing? A single-centre retrospective study.

BMJ open Jul 18, 2019
OBJECTIVES: To develop and test a method for automatic assessment of a quality metric, provider-documented pretreatment digital rectal examination (DRE), using the outputs of a natural language processing (NLP) framework.
Natural Language Processing Humans Prostatic Neoplasms Algorithms Digital Rectal Examination Retrospective Studies Electronic Health Records Adult Male
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Development and validation of 15-month mortality prediction models: a retrospective observational comparison of machine-learning techniques in a national sample of Medicare recipients.

BMJ open Jul 16, 2019
OBJECTIVE: The objective is to develop and validate a predictive model for 15-month mortality using a random sample of community-dwelling Medicare beneficiaries.
Models, Statistical Aged, 80 and over Humans Neural Networks, Computer Bayes Theorem Machine Learning Male Decision Trees Female Medicare Logistic Models Aged Mortality United States
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