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https://www.aktana.com/blog/machine-learning-decision-support-cso/
Jul 05, 2018 · What is machine learning’s role in decision support? Machine learning algorithms sift through tons of data in real-time to identify behavior patterns. The algorithms generalize these patterns across individuals and then predict which action to take on a person to elicit some desirable behavior.
https://www.allscripts.com/2018/08/sharpening-clinical-decision-support-with-machine-learning/
Machine learning can enable clinical decision support based on multi-system analysis to understand which patients are at highest risk of a negative outcome, or to optimize treatment in real-time. Algorithms can parse available historical and current information to inform clinicians which patients are at risk for specific outcomes, or even adjust treatment regiments according to most up-to-the-minute changes.
https://jamanetwork.com/journals/jama/fullarticle/2666494
Dec 19, 2017 · Machine learning algorithms, clinical decision support systems, and bioinformatics approaches for genomic medicine are probably at the stage of increased examination of strategies and consequences. As more research accumulates and the systems themselves improve (similar to the automated blood pressure cuff and the spell-checker), most likely their routine use will be accepted.Cited by: 3
https://cs.stackexchange.com/questions/13871/what-is-the-difference-between-decision-support-system-and-machine-learning
Decision Support Systems (DSSs) are devoted to the management of large volumes of data. Its main goal is to simulate decision-making procedures that actually simulate (or show) some intelligence. This is why the wikipedia see DSSs well related to business processes ---as they are, indeed.
https://med.nyu.edu/chibi/sites/default/files/chibi/file1.pdf
Machine learning has become critical for Decision Support System Construction given extensive cognitive biases and the corresponding need to base MDSSs …
https://vector.childrenshospital.org/2017/04/machine-learning-clinical-decision-support/
Apr 28, 2017 · In the future, the team envisions incorporating machine learning algorithms to provide additional, automated support. Looking to the future Innovators throughout Boston Children’s Hospital are looking to develop clinical decision support platforms. To encourage them, IDHA has launched a Clinical Decision Support Innovation Challenge.
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