Systematic review and comparison of publicly available ICU data sets—a decision guide for clinicians and data scientists
OBJECTIVE: As data science and artificial intelligence continue to rapidly gain traction, the
publication of freely available ICU datasets has become invaluable to propel data-driven …
publication of freely available ICU datasets has become invaluable to propel data-driven …
Toward fairness in artificial intelligence for medical image analysis: identification and mitigation of potential biases in the roadmap from data collection to model …
Purpose To recognize and address various sources of bias essential for algorithmic fairness
and trustworthiness and to contribute to a just and equitable deployment of AI in medical …
and trustworthiness and to contribute to a just and equitable deployment of AI in medical …
Unmasking bias in artificial intelligence: a systematic review of bias detection and mitigation strategies in electronic health record-based models
Objectives Leveraging artificial intelligence (AI) in conjunction with electronic health records
(EHRs) holds transformative potential to improve healthcare. However, addressing bias in …
(EHRs) holds transformative potential to improve healthcare. However, addressing bias in …
TransformEHR: transformer-based encoder-decoder generative model to enhance prediction of disease outcomes using electronic health records
Deep learning transformer-based models using longitudinal electronic health records
(EHRs) have shown a great success in prediction of clinical diseases or outcomes …
(EHRs) have shown a great success in prediction of clinical diseases or outcomes …
Performance of the hypotension prediction index may be overestimated due to selection bias
J Enevoldsen, ST Vistisen - Anesthesiology, 2022 - pubs.asahq.org
The Hypotension Prediction Index is a proprietary prediction model incorporated into a
commercially available intraoperative hemodynamic monitoring system. The Hypotension …
commercially available intraoperative hemodynamic monitoring system. The Hypotension …
The Framing of machine learning risk prediction models illustrated by evaluation of sepsis in general wards
SM Lauritsen, B Thiesson, MJ Jørgensen, AH Riis… - NPJ digital …, 2021 - nature.com
Problem framing is critical to developing risk prediction models because all subsequent
development work and evaluation takes place within the context of how a problem has been …
development work and evaluation takes place within the context of how a problem has been …
Elastic valley spin controlled chiral coupling in topological valley phononic crystals
J Zhao, C Yang, W Yuan, D Zhang, Y Long, Y Pan… - Physical Review Letters, 2022 - APS
Distinct from the phononic valley pseudospin, the real physical spin of elastic waves adds a
novel tool kit capable of envisaging the valley-spin physics of topological valley phononic …
novel tool kit capable of envisaging the valley-spin physics of topological valley phononic …
Predicting intensive care delirium with machine learning: Model development and external validation
Background Delirium poses significant risks to patients, but countermeasures can be taken
to mitigate negative outcomes. Accurately forecasting delirium in intensive care unit (ICU) …
to mitigate negative outcomes. Accurately forecasting delirium in intensive care unit (ICU) …
Machine learning based multi-modal prediction of future decline toward Alzheimer's disease: an empirical study
Alzheimer's disease (AD) is a neurodegenerative condition that progresses over decades.
Early detection of individuals at high risk of future progression toward AD is likely to be of …
Early detection of individuals at high risk of future progression toward AD is likely to be of …
A machine learning model identifies patients in need of autoimmune disease testing using electronic health records
Systemic autoimmune rheumatic diseases (SARDs) can lead to irreversible damage if left
untreated, yet these patients often endure long diagnostic journeys before being diagnosed …
untreated, yet these patients often endure long diagnostic journeys before being diagnosed …