Ensemble of deep learning models for sleep apnea detection: an experimental study
Sleep Apnea is a breathing disorder occurring during sleep. Older people suffer most from
this disease. In-time diagnosis of apnea is needed which can be observed by the application …
this disease. In-time diagnosis of apnea is needed which can be observed by the application …
[PDF][PDF] Opening the Black-Box of AI: Challenging Pattern Robustness and Improving Theorizing through Explainable AI Methods.
Abstract Machine Learning (ML) algorithms, as approach to Artificial Intelligence (AI), show
unprecedented analytical capabilities and tremendous potential for pattern detection in large …
unprecedented analytical capabilities and tremendous potential for pattern detection in large …
An ensemble approach for handling class imbalanced disease datasets
It is always very much helpful for the doctors if early diagnosis report of some chronic
disease is available. Most of the disease datasets, prepared by some means, are …
disease is available. Most of the disease datasets, prepared by some means, are …
[HTML][HTML] Реализация ансамблевого метода машинного обучения для прогнозирования послеоперационных осложнений
ОЮ Кузнецова, РН Кузнецов… - Модели, системы, сети …, 2023 - cyberleninka.ru
Актуальность и цели. В работе поднимается проблема прогнозирования
послеоперационных осложнений. Осложнения после операций могут привести к …
послеоперационных осложнений. Осложнения после операций могут привести к …