PiMS: A Pre-ML Labelling Tool
2022 IEEE 18th International Conference on e-Science (e-Science)(2022)
摘要
Machine Learning (ML) techniques in clinical decision support systems are scarce due to the limited availability of clinically validated and labelled training data sets. We present a framework to (1) enable quality controls at data submission toward ML appropriate data, (2) provide in-situ algorithm assessments, and (3) prepare dataframes for ML training and robust stochastic analysis. We developed and evaluated PiMS (Pandemic Intervention and Monitoring Systems): a remote monitoring solution for patients that are Covid-positive. The system was trialled at two hospitals in Melbourne, Australia (Alfred Health and Monash Health) involving 109 patients and 15 clinicians.
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关键词
Clinical Decision Support Systems (CDSS),ML Labelling,Triaging Algorithm,Human-in-the-loop Validation
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