Progression to myocardial infarction short-term death based on interval sequential pattern mining. [PDF]
BMC Cardiovasc Disord, 2023 Wu YS +4 more
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NetNMSP: Nonoverlapping maximal sequential pattern mining. [PDF]
Appl Intell (Dordr), 2022 Li Y, Zhang S, Guo L, Liu J, Wu Y, Wu X.
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Applying Sequential Pattern Mining to Investigate the Temporal Relationships between Commonly Occurring Internal Medicine Diseases and Intervals for the Risk of Concurrent Disease in Canine Patients. [PDF]
Animals (Basel), 2023 Lee SJ, Kim JH.
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A hypoglycemia early alarm method for patients with type 1 diabetes based on multi-dimensional sequential pattern mining. [PDF]
Heliyon, 2022 Ma N, Yu X, Yang T, Zhao Y, Li H.
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GASP: Graph-based Approximate Sequential Pattern Mining for Electronic Health Records. [PDF]
Adv Databases Inf Syst, 2021 Dong W +4 more
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Evaluation of Atopic Dermatitis and Cutaneous Infectious Disorders Using Sequential Pattern Mining: A Nationwide Population-Based Cohort Study. [PDF]
J Clin Med, 2022 Han JH +8 more
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Status Set Sequential Pattern Mining Considering Time Windows and Periodic Analysis of Patterns. [PDF]
Entropy (Basel), 2021 Zhou S +7 more
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Supervised sequential pattern mining of event sequences in sport to identify important patterns of play: An application to rugby union. [PDF]
PLoS One, 2021 Bunker R, Fujii K, Hanada H, Takeuchi I.
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Sequential Pattern Mining to Predict Medical In-Hospital Mortality from Administrative Data: Application to Acute Coronary Syndrome. [PDF]
J Healthc Eng, 2021 Pinaire J +4 more
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NetNCSP: Nonoverlapping closed sequential pattern mining. [PDF]
Knowl Based Syst, 2020 Wu Y, Zhu C, Li Y, Guo L, Wu X.
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