Sensor data analysis and development of machine learning models for detection of glaucoma

SMOTE: Synthetic Minority Over-sampling Technique

Nitesh V. Chawla, Kevin W. Bowyer, Lawrence Hall et al. · Journal of Artificial Intelligence Research · 2002 · 31.2K citations · Full text

Computing, Computer Science, Data Science +12

Interpretable machine learning: Fundamental principles and 10 grand challenges

Cynthia Rudin, Chaofan Chen, Zhi Chen et al. · Statistics Surveys · 2022 · 844 citations · Full text

Computing, Computer Science, Artificial Intelligence +16

A feature agnostic approach for glaucoma detection in OCT volumes

Stefan Maetschke, Bhavna Antony, Hiroshi Ishikawa et al. · PLoS ONE · 2019 · 208 citations · Full text

Health Professions, Ophthalmology, Vision Science +17

Relationship Between Corneal Biomechanical Properties, Central Corneal Thickness, and Intraocular Pressure Across the Spectrum of Glaucoma

Sushmita Kaushik, Surinder Singh Pandav, Anupam Banger et al. · American Journal of Ophthalmology · 2012 · 154 citations

Medicine, Ophthalmology, Vision Science +16

Validation of the Somnotouch-NIBP noninvasive continuous blood pressure monitor according to the European Society of Hypertension International Protocol revision 2010

Grzegorz Bilo, Cristina Zorzi, Juan Eugenio Ochoa et al. · Blood Pressure Monitoring · 2015 · 141 citations · Full text

Medicine, Cardiology, Internal Medicine +16