AIMC Topic: Hong Kong

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Application of the BP Neural Network Model in the Coordinated Development of Tourism Economic Networks in the Guangdong-Hong Kong-Macao Greater Bay Area.

Computational intelligence and neuroscience Jun 2, 2022
In the present era, people are facing enough challenges, either personally or technically, and some people do suffer from having to keep up with the current technological improvements. The Guangdong-Hong Kong-Macao Greater Bay Area (GHKMGBA) is one o...
Humans Macau Neural Networks, Computer China Cities Hong Kong Tourism
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Monitoring ecosystem services in the Guangdong-Hong Kong-Macao Greater Bay Area based on multi-temporal deep learning.

The Science of the total environment Feb 3, 2022
Assessment of ecosystem service supply and demand, as well as the budgets of ecosystem service supply and demand, is the basis of scientific urban planning. In the 20 years between the proposal and formation of the Guangdong-Hong Kong-Macao Greater B...
China Ecosystem Conservation of Natural Resources Deep Learning Hong Kong Macau
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Construction of Influenza Early Warning Model Based on Combinatorial Judgment Classifier: A Case Study of Seasonal Influenza in Hong Kong.

Current medical science Jan 4, 2022
OBJECTIVE: The annual influenza epidemic is a heavy burden on the health care system, and has increasingly become a major public health problem in some areas, such as Hong Kong (China). Therefore, based on a variety of machine learning methods, and c...
Humans Epidemiological Models Models, Statistical Machine Learning Influenza, Human Hong Kong Epidemiological Monitoring
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Glycemic and lipid variability for predicting complications and mortality in diabetes mellitus using machine learning.

BMC endocrine disorders May 4, 2021
INTRODUCTION: Recent studies have reported that HbA1c and lipid variability is useful for risk stratification in diabetes mellitus. The present study evaluated the predictive value of the baseline, subsequent mean of at least three measurements and v...
Humans Machine Learning Computer Simulation Risk Factors Aged Adult Male Prognosis Retrospective Studies Female Diabetes Complications Lipids Glycated Hemoglobin Survival Analysis Hong Kong Middle Aged Blood Glucose Diabetes Mellitus
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Deep learning model for prediction of extended-spectrum beta-lactamase (ESBL) production in community-onset Enterobacteriaceae bacteraemia from a high ESBL prevalence multi-centre cohort.

European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology Jan 5, 2021
Adequate empirical antimicrobial coverage is instrumental in clinical management of community-onset Enterobacteriaceae bacteraemia in areas with high ESBL prevalence, while balancing the risk of carbapenem overuse and emergence of carbapenem-resistan...
Community-Acquired Infections Hong Kong Multivariate Analysis Enterobacteriaceae Infections Humans Deep Learning Cohort Studies Blood Culture Models, Biological beta-Lactamases Enterobacteriaceae
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Changes in technology acceptance among older people with dementia: the role of social robot engagement.

International journal of medical informatics Jul 30, 2020
OBJECTIVE: Emerging technologies such as social robots have shown to be effective in reducing loneliness and agitation for older people with dementia. However, the acceptance of technology (specifically social robots) was found to be low for older pe...
Long-Term Care Aged, 80 and over Dementia Robotics Humans Hong Kong Technology Aged
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Effects of a Humanoid Companion Robot on Dementia Symptoms and Caregiver Distress for Residents in Long-Term Care.

Journal of the American Medical Directors Association Jul 23, 2020
OBJECTIVES: To test the effects of deploying a humanoid companion robot (Kabochan) in comparison with usual care for long-term care facilities' residents with dementia.
Robotics Activities of Daily Living Hong Kong Caregivers Long-Term Care Aged Male Humans Quality of Life Female Dementia
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Artificial intelligence mobile health platform for early detection of COVID-19 in quarantine subjects using a wearable biosensor: protocol for a randomised controlled trial.

BMJ open Jul 22, 2020
INTRODUCTION: There is an outbreak of COVID-19 worldwide. As there is no effective therapy or vaccine yet, rigorous implementation of traditional public health measures such as isolation and quarantine remains the most effective tool to control the o...
Clinical Laboratory Techniques Betacoronavirus Pneumonia, Viral Blood Gas Monitoring, Transcutaneous Skin Temperature Cloud Computing Respiratory Rate Humans Artificial Intelligence Quarantine Coronavirus Infections Telemedicine COVID-19 Testing Heart Rate Early Diagnosis Hong Kong Wearable Electronic Devices Pandemics Smartphone Mobile Applications COVID-19 Randomized Controlled Trials as Topic SARS-CoV-2
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Machine Learning Clustering for Blood Pressure Variability Applied to Systolic Blood Pressure Intervention Trial (SPRINT) and the Hong Kong Community Cohort.

Hypertension (Dallas, Tex. : 1979) Jun 29, 2020
Visit-to-visit blood pressure variability (BPV) has been shown to be a predictor of cardiovascular disease. We aimed to classify the BPV levels using different machine learning algorithms. Visit-to-visit blood pressure readings were extracted from th...
Hypertension Cluster Analysis Blood Pressure Humans Hong Kong Machine Learning Male Algorithms Female Cardiovascular Diseases Risk Factors Middle Aged Aged Aged, 80 and over
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Detection of glaucomatous optic neuropathy with spectral-domain optical coherence tomography: a retrospective training and validation deep-learning analysis.

The Lancet. Digital health Aug 9, 2019
BACKGROUND: Spectral-domain optical coherence tomography (SDOCT) can be used to detect glaucomatous optic neuropathy, but human expertise in interpretation of SDOCT is limited. We aimed to develop and validate a three-dimensional (3D) deep-learning s...
Tomography, Optical Coherence Optic Nerve Diseases Humans Hong Kong Glaucoma Teaching Deep Learning
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