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Lee ML

As seen in: National Institutes of Health, PeerJ, RXLIST®
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Articles by Lee ML

AI-driven data lineage verification using temporal analysis with graph-based anomaly detection: a comparative approach of supervised and unsupervised learning

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By Lee ML, Gang Yuan
| PeerJ
AI-driven data lineage verification using temporal analysis with graph-based anomaly detection: a comparative approach of supervised and unsupervised learning 1School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China 2China Network Security Review Certification and Market Supervision Big Data Center, Beijing, China DOI 10.7717/peerj-cs.3608 Academic Editor Xiangjie Kong Subject Areas Artificial Intelligence, Data Mining and Machine Learning, Data Science,...
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Psychological health outcomes of traditional Chinese exercises in older adults: a meta-analysis of randomized controlled trials

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By Lee ML, Lee PWH, Connor KI
| PeerJ
As far as we know, no prior meta-analysis has comprehensively evaluated the effects of TCE interventions on a broad range of psychological health outcomes in older adults. This study addressed this gap by including multiple psychological outcomes, such as depression, anxiety, subjective well-being, general self-efficacy, and self-esteem. It also synthesized evidence exclusively from randomized controlled trials, which constitute the highest level of evidence.
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Application of collaborative filtering algorithm based on time decay function in music teaching recommendation model

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By Lee ML, Yina Zhao, Yuzhang Normal, Jorge AM
| PeerJ
With the rapid development of the Internet, big data, and mobile technology, these advancements bring convenience to people while the volume of data continues to grow exponentially. It is increasingly challenging for users to find the resources they need from this vast expanse of information. To address the problem of information overload and assist users in extracting data efficiently, recommendation systems have been proposed (Tang & Zhang, 2022).
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Optic disc and cup segmentation for glaucoma detection using Attention U-Net incorporating residual mechanism

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By Yongpeng Bai, Yifan Zhang, Lee ML, Lee JY
| PeerJ
Optic disc and cup segmentation for glaucoma detection using Attention U-Net incorporating residual mechanism School of Information Technology, Luoyang Normal University, Luoyang, China DOI 10.7717/peerj-cs.1941 Academic Editor Ivan Miguel Pires Subject Areas Bioinformatics, Artificial Intelligence, Computer Vision Keywords Glaucoma, U-Net, Residual module, Attention mechanism, Image segmentation Copyright © Licence This is an open access article distributed under the terms of the Creative...
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An effective and comprehensible method to detect and evaluate retinal damage due to diabetes complications

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By Russell SR, Lee ML, Jonas JB, Lee SC
| PeerJ
Diabetic retinopathy (DR), a complication of diabetes, can cause damage to the retina, the crucial part of the eye. Specifically, the damage caused to the retina by diabetes is known as “diabetic retinopathy”. Diabetic retinopathy is a common complication of diabetes that occurs when blood sugar levels are poorly controlled over a long period of time. The negative effects of high blood sugar on the tiny blood vessels (microvasculature) in the retina lead to abnormal changes in the retina.
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Exploring Biopharmaceutical Analysis with Compact Capillary Liquid Chromatography Instrumentation

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By Foster SW, Gates EP, Lee ML, Libert BP
| ncbi.nlm.nih.gov
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Ceiling effects and differential measurement precision across calibrated cognitive scores in the Framingham Study

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By Choi SE, Lee ML, Gibbons LE, Trittschuh EH
| ncbi.nlm.nih.gov
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Side Effects, Uses, Dosage, Interactions, Warnings

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By Lee ML, Gorson KC, Syndman DR. Use
| RXLIST®
What Is BabyBIG? BabyBIG [botulism immune globulin intravenous (human) (BIG-IV)] is an immune globulin intravenous (human) indicated for treatment of infant botulism caused by toxin types A or B in patients below one year of age. What Are Side Effects of BabyBIG?
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Test-retest reliability and responsiveness of the Computerized Adaptive Testing System of the Functional Assessment of Stroke

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By Chen PT, Lee SC, Wu TY, Lee ML
| ncbi.nlm.nih.gov
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Polysaccharide of Ganoderma lucidum Ameliorates Cachectic Myopathy Induced by the Combination Cisplatin plus Docetaxel in Mice

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By Wu SY, Lee ML, Ou CC, Hsin IL
| ncbi.nlm.nih.gov
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Feeling sleepy? Stop Driving - Awareness of Fall Asleep Crashes

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By Lee ML, Cai AWT, Horrey WJ, O'Brien CS
| ncbi.nlm.nih.gov
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Iodine-Induced Hyperthyroidism and Long-term Risks of Incident Atrial Fibrillation and Flutter

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By Lee ML, Neverova NV, Currier JW, Bashir MT
| ncbi.nlm.nih.gov
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Additive manufacturing of eco-friendly building insulation materials by recycling pulp and paper

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By Lee ML, Armstrong JN
| ncbi.nlm.nih.gov
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Regression applied to legal judgments to predict compensation for immaterial damage

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By Jordan MI, Thomas JA, Martin JH, Lee ML
| PeerJ
Related work According to our literature review, using Scopus, IEEE Xplore and ACM, there is only one published research on the application of regression on legal texts. Thus, this section also considers publications for other areas. Regarding the legal domain, Yeung (2019) trained a bidirectional encoder representations from transformers (BERT) model based on a German legal corpus. The author applied such representation to downstream tasks, such as classification and regression.
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Testosterone Dose-Dependently Increases Maximal Voluntary Strength and Leg Power, but Does Not Affect Fatigability or Specific Tension

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By Storer TW, Lee ML
| National Institutes of Health
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Varicose veins are associated with an increased risk of mitral valve regurgitation: a nationwide population-based cohort study

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By Lee ML, Chou WY, Kao YW, Chen MC
| ncbi.nlm.nih.gov
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Varicose veins are associated with an increased risk of mitral valve regurgitation: a nationwide population-based cohort study

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By Lee ML, Chen MC, Chou WY, Kao YW
| ncbi.nlm.nih.gov
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