Search Results - "Lee, Mong Li"
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Retinal Vascular Tortuosity, Blood Pressure, and Cardiovascular Risk Factors
Published in Ophthalmology (Rochester, Minn.) (01-05-2011)“…Objective To examine the relationship of retinal vascular tortuosity to age, blood pressure, and other cardiovascular risk factors. Design Population-based,…”
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Alterations in Retinal Microvascular Geometry in Young Type 1 Diabetes
Published in Diabetes care (01-06-2010)“…OBJECTIVE: To describe retinal microvascular geometric parameters in young patients with type 1 diabetes. RESEARCH DESIGN AND METHODS: Patients with type 1…”
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Quantitative Assessment of Early Diabetic Retinopathy Using Fractal Analysis
Published in Diabetes care (2009)“…OBJECTIVE:--Fractal analysis can quantify the geometric complexity of the retinal vascular branching pattern and may therefore offer a new method to quantify…”
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4
LDL-cholesterol change and goal attainment following statin intensity titration among Asians in primary care: a retrospective cohort study
Published in Lipids in health and disease (06-01-2021)“…Clinical trials have demonstrated that either initiating or up-titrating a statin dose substantially reduce Low-Density Lipoprotein-Cholesterol (LDL-C) levels…”
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5
Automatic grading of retinal vessel caliber
Published in IEEE transactions on biomedical engineering (01-07-2005)“…New clinical studies suggest that narrowing of the retinal blood vessels may be an early indicator of cardiovascular diseases. One measure to quantify the…”
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The Retinal Vasculature as a Fractal: Methodology, Reliability, and Relationship to Blood Pressure
Published in Ophthalmology (Rochester, Minn.) (01-11-2008)“…Objective Fractals represent a type of derived geometric pattern that permits the characterization of the branching pattern of retinal vessels. We examined a…”
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Deep learning in estimating prevalence and systemic risk factors for diabetic retinopathy: a multi-ethnic study
Published in NPJ digital medicine (10-04-2019)“…In any community, the key to understanding the burden of a specific condition is to conduct an epidemiological study. The deep learning system (DLS) recently…”
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Using Domain Knowledge and Data-Driven Insights for Patient Similarity Analytics
Published in Journal of personalized medicine (22-07-2021)“…Patient similarity analytics has emerged as an essential tool to identify cohorts of patients who have similar clinical characteristics to some specific…”
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9
Technical and imaging factors influencing performance of deep learning systems for diabetic retinopathy
Published in NPJ digital medicine (23-03-2020)“…Deep learning (DL) has been shown to be effective in developing diabetic retinopathy (DR) algorithms, possibly tackling financial and manpower challenges…”
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10
Artificial Intelligence Screening for Diabetic Retinopathy: the Real-World Emerging Application
Published in Current diabetes reports (01-09-2019)“…Purpose of Review This paper systematically reviews the recent progress in diabetic retinopathy screening. It provides an integrated overview of the current…”
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Comparative effectiveness of first-line antihypertensive drug classes on the maintenance of estimated glomerular filtration rate (eGFR) in real world primary care
Published in Scientific reports (01-12-2023)“…Renin-angiotensin system inhibitors (RASi), particularly angiotensin-converting enzyme inhibitors (ACEIs) and angiotensin II receptor blockers (ARBs), are…”
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Predictors of HbA1c treatment response to add-on medication following metformin monotherapy: a population-based cohort study
Published in Scientific reports (28-11-2023)“…Evidence on the influence of patient characteristics on HbA 1c treatment response for add-on medications in patients with type 2 diabetes (T2D) is unclear…”
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13
Artificial intelligence for teleophthalmology-based diabetic retinopathy screening in a national programme: an economic analysis modelling study
Published in The Lancet. Digital health (01-05-2020)“…Deep learning is a novel machine learning technique that has been shown to be as effective as human graders in detecting diabetic retinopathy from fundus…”
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14
A deep-learning system for the assessment of cardiovascular disease risk via the measurement of retinal-vessel calibre
Published in Nature biomedical engineering (01-06-2021)“…Retinal blood vessels provide information on the risk of cardiovascular disease (CVD). Here, we report the development and validation of deep-learning models…”
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Correlation and Reproducibility of Retinal Vascular Geometric Measurements for Stereoscopic Retinal Images of the Same Eyes
Published in Ophthalmic epidemiology (01-10-2012)“…Purpose: To assess the correlation and reproducibility of retinal vascular geometric measurements obtained from two stereo-paired fundus images. Methods:…”
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Diabetes medication recommendation system using patient similarity analytics
Published in Scientific reports (03-12-2022)“…Type-2 diabetes mellitus (T2DM) is a medical condition in which oral medications avail to patients to curb their hyperglycaemia after failed dietary therapy…”
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The effect of oral diabetes medications on glycated haemoglobin (HbA1c) in Asians in primary care: a retrospective cohort real-world data study
Published in BMC medicine (26-01-2022)“…Clinical trials have demonstrated that initiating oral anti-diabetic drugs (OADs) significantly reduce glycated hemoglobin (HbA1c) levels. However, variability…”
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Profiling Entities over Time in the Presence of Unreliable Sources
Published in IEEE transactions on knowledge and data engineering (01-07-2017)“…To harness the rich amount of information available on the web today, many organizations aggregate public (and private) data to derive knowledge repositories…”
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Patient similarity analytics for explainable clinical risk prediction
Published in BMC medical informatics and decision making (01-07-2021)“…Abstract Background Clinical risk prediction models (CRPMs) use patient characteristics to estimate the probability of having or developing a particular…”
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20
Temporal Influence Blocking: Minimizing the Effect of Misinformation in Social Networks
Published in 2017 IEEE 33rd International Conference on Data Engineering (ICDE) (01-04-2017)“…The diffusion of rumors is a major concern for web users. Limiting the spread of rumor on social networks has become an important task. One approach is to…”
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