Rezultati - Jithin Yohannan
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Predicting eyes at risk for rapid glaucoma progression based on an initial visual field test using machine learning od Scott R. Shuldiner, Michael V. Boland, Pradeep Y. Ramulu, Carlos Gustavo De Moraes, Tobias Elze, Jonathan S. Myers, Louis R. Pasquale, Sarah R. Wellik, Jithin Yohannan
Izdano 2021Artigo -
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Ocular tolerability and efficacy of intravitreal and subconjunctival injections of sirolimus in patients with non-infectious uveitis: primary 6-month results of the SAVE Study od Quan Dong Nguyen, Mohamed Ibrahim, Anthony Watters, Millena Bittencourt, Jithin Yohannan, Yasir J. Sepah, James P. Dunn, Joel Naor, Naveed Shams, Ovais Shaikh, Henry A. Leder, V. Diana
Izdano 2013Artigo
Iskalna orodja:
Sorodne teme
Medicine
Ophthalmology
Glaucoma
Visual field
Computer science
Internal medicine
Optometry
Artificial intelligence
Mathematics
Receiver operating characteristic
Surgery
Data set
Machine learning
Optical coherence tomography
Statistics
Absolute deviation
Adverse effect
Area under the curve
Artificial neural network
Audiology
Bayes' theorem
Bayesian probability
Clinical endpoint
Clinical trial
Computer vision
Convolutional neural network
Decibel
Economics
Field (mathematics)
General surgery