Medical-informed machine learning: integrating prior knowledge into medical decision systems
Background Clinical medicine offers a promising arena for applying Machine Learning (ML)
models. However, despite numerous studies employing ML in medical data analysis, only a …
models. However, despite numerous studies employing ML in medical data analysis, only a …
Training and Validating a Treatment Recommender with Partial Verification Evidence
V Unnikrishnan, C Puga, M Schleicher… - arXiv preprint arXiv …, 2024 - arxiv.org
Current clinical decision support systems (DSS) are trained and validated on observational
data from the target clinic. This is problematic for treatments validated in a randomized …
data from the target clinic. This is problematic for treatments validated in a randomized …
[PDF][PDF] Informed machine learning for cardiomegaly detection in chest X-rays: a comparative study
Recently, computer-aided disease detection from chest radiographs made considerable
progress by using convolutional neural networks but issues like insufficient data quality or …
progress by using convolutional neural networks but issues like insufficient data quality or …
[PDF][PDF] Hybrid Personal Medical Digital Assistant Agents
S Montagna, C Sirocchi - 2022 - ceur-ws.org
Autonomous intelligent systems are beginning to impact clinical practice as personal
medical assistant agents, by leveraging experts' knowledge when needed and exploiting the …
medical assistant agents, by leveraging experts' knowledge when needed and exploiting the …