Multimodal machine learning in precision health: A sco** review
Abstract Machine learning is frequently being leveraged to tackle problems in the health
sector including utilization for clinical decision-support. Its use has historically been focused …
sector including utilization for clinical decision-support. Its use has historically been focused …
AD-BERT: Using pre-trained language model to predict the progression from mild cognitive impairment to Alzheimer's disease
Objective We develop a deep learning framework based on the pre-trained Bidirectional
Encoder Representations from Transformers (BERT) model using unstructured clinical notes …
Encoder Representations from Transformers (BERT) model using unstructured clinical notes …
Deep reinforcement learning for cost-effective medical diagnosis
Modeling Bacterial Infection Risk for Data-Driven Antibiotic De-Escalation in Critically Ill Adults
G Eickelberg - 2023 - search.proquest.com
Bacterial infections (BI) are a frequent, expensive, and life-threatening condition for critically
ill patients. For patients with serious BI, minimizing the time between admission to the …
ill patients. For patients with serious BI, minimizing the time between admission to the …