CrossRef Text and Data Mining
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Identification of Healthy and Unhealthy Lifestyles by a Wearable Activity Tracker in Type 2 Diabetes: A Machine Learning-Based Analysis
Kyoung Jin Kim, Jung-Been Lee, Jimi Choi, Ju Yeon Seo, Ji Won Yeom, Chul-Hyun Cho, Jae Hyun Bae, Sin Gon Kim, Heon-Jeong Lee, Nam Hoon Kim
Endocrinol Metab. 2022;37(3):547-551.   Published online June 29, 2022

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Identification of Healthy and Unhealthy Lifestyles by a Wearable Activity Tracker in Type 2 Diabetes: A Machine Learning-Based Analysis
Endocrinology and Metabolism. 2022;37(3):547-551   Crossref logo
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Activity Identification using Supervised Machine Learning on Wearable Activity Tracker Data
2021 Asian Conference on Innovation in Technology (ASIANCON). 2021;   Crossref logo

Healthy lifestyles in Europe: prevention of obesity and type II diabetes by diet and physical activity
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Activity tracker-based intervention to increase physical activity in patients with type 2 diabetes and healthy individuals: study protocol for a randomized controlled trial
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A Comparative Analysis of Ensemble Based Machine Learning Techniques for Diabetes Identification
2021 2nd International Conference on Robotics, Electrical and Signal Processing Techniques (ICREST). 2021;   Crossref logo

Masking technique based attention mechanism for off-type identification in plants
Machine Learning with Applications. 2022;8:100282   Crossref logo
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Identification of Prevotella, Anaerotruncus and Eubacterium Genera by Machine Learning Analysis of Metagenomic Profiles for Stratification of Patients Affected by Type I Diabetes
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IDF21-0488 A comparison of healthy lifestyles between pregnant women with gestational diabetes and pre-existing type 2 diabetes
Diabetes Research and Clinical Practice. 2022;186:109554   Crossref logo
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The Machine Learning Models for Activity Recognition Applications with Wearable Sensors
2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA). 2019;   Crossref logo