Clinical phenotyping with an outcomes-driven mixture of experts for patient matching and risk estimation
NC Hurley, SS Dhruva, NR Desai, JR Ross… - ACM Transactions on …, 2023 - dl.acm.org
Observational medical data present unique opportunities for analysis of medical outcomes
and treatment decision making. However, because these datasets do not contain the strict …
and treatment decision making. However, because these datasets do not contain the strict …
Multi-branching Temporal Convolutional Network with Tensor Data Completion for Diabetic Retinopathy Prediction
Diabetic retinopathy (DR), a microvascular complication of diabetes, is the leading cause of
vision loss among working-aged adults. However, due to the low compliance rate of DR …
vision loss among working-aged adults. However, due to the low compliance rate of DR …
A survey on confidence calibration of deep learning under class imbalance data
Confidence calibration in classification models, a technique to achieve accurate posterior
probability estimation for classification results, is crucial for assessing the likelihood of …
probability estimation for classification results, is crucial for assessing the likelihood of …
Towards Robust and Generalizable Machine Learning for Real-World Healthcare Data with Heterogeneity
Z Huo - 2022 - search.proquest.com
The utility of machine learning for enhancing human well-being and health has risen to the
core discussion in both research and real-world application in today's technological front …
core discussion in both research and real-world application in today's technological front …