Development of Predictive Models in Patients with Epiphora Using Lacrimal Scintigraphy and Machine Learning

PURPOSE: We developed predictive models using different programming languages and different computing platforms for machine learning (ML) and deep learning (DL) that classify clinical diagnoses in patients with epiphora. We evaluated the diagnostic performance of these models. METHODS: Between Janua...

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Dettagli Bibliografici
Pubblicato in:Nucl Med Mol Imaging
Autori principali: Park, Yong-Jin, Bae, Ji Hoon, Shin, Mu Heon, Hyun, Seung Hyup, Cho, Young Seok, Choe, Yearn Seong, Choi, Joon Young, Lee, Kyung-Han, Kim, Byung-Tae, Moon, Seung Hwan
Natura: Artigo
Lingua:Inglês
Pubblicazione: Springer Berlin Heidelberg 2019
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Original Article
Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC6473022/
https://ncbi.nlm.nih.gov/pubmed/31057684
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s13139-019-00574-1
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