reinforcement learning modeling approach Search Results


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generative tensorial reinforcement learning (gentrl)  (Insilico Medicine)
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deep reinforcement learning stock trading model  (Qidong Gaitianli Pharmaceutical Co)
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approach based on reinforcement learning  (Janssen)
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model-based bayesian reinforcement learning brl  (Sonoma Technology Inc)
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reinforcement learning model  (Amomed Pharma GmbH)
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Amomed Pharma GmbH reinforcement learning model
Summary of included studies.
Reinforcement Learning Model, supplied by Amomed Pharma GmbH, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Image Search Results


Summary of included studies.

Journal: Surgery

Article Title: Decision Analysis and Reinforcement Learning in Surgical Decision-Making

doi: 10.1016/j.surg.2020.04.049

Figure Lengend Snippet: Summary of included studies.

Article Snippet: Komorowski 45 , Machine learning , Retrospective review , Patients admitted to ICU with sepsis , 96,156 , A reinforcement learning model recommended intravenous fluid and vasopressor strategies, mortality was lowest when decisions made by clinicians matched recommendations from the reinforcement learning model , NIHR, EPSRC, Orion Corp, Amomed Pharma, Ferring Pharma, Tenax Therapeutics, Baxter, Bristol-Mysers Squibb, GSK, HCA International, Philips Healthcare, Fresenius-KABI.

Techniques: Diagnostic Assay, Biomarker Discovery, Clinical Proteomics, Functional Assay

The unique strengths and weaknesses of decision analysis and reinforcement learning suggest complementary roles in augmenting clinical reasoning.

Journal: Surgery

Article Title: Decision Analysis and Reinforcement Learning in Surgical Decision-Making

doi: 10.1016/j.surg.2020.04.049

Figure Lengend Snippet: The unique strengths and weaknesses of decision analysis and reinforcement learning suggest complementary roles in augmenting clinical reasoning.

Article Snippet: Komorowski 45 , Machine learning , Retrospective review , Patients admitted to ICU with sepsis , 96,156 , A reinforcement learning model recommended intravenous fluid and vasopressor strategies, mortality was lowest when decisions made by clinicians matched recommendations from the reinforcement learning model , NIHR, EPSRC, Orion Corp, Amomed Pharma, Ferring Pharma, Tenax Therapeutics, Baxter, Bristol-Mysers Squibb, GSK, HCA International, Philips Healthcare, Fresenius-KABI.

Techniques:

Input variables from patient assessments and the data from the electronic health record feed decision analysis tools that calculate probability thresholds to inform population-based recommendations. Reinforcement learning models combined with deep learning representation of an expanded set of input data can identify actions yielding the greatest probability of a patient-centered outcome.

Journal: Surgery

Article Title: Decision Analysis and Reinforcement Learning in Surgical Decision-Making

doi: 10.1016/j.surg.2020.04.049

Figure Lengend Snippet: Input variables from patient assessments and the data from the electronic health record feed decision analysis tools that calculate probability thresholds to inform population-based recommendations. Reinforcement learning models combined with deep learning representation of an expanded set of input data can identify actions yielding the greatest probability of a patient-centered outcome.

Article Snippet: Komorowski 45 , Machine learning , Retrospective review , Patients admitted to ICU with sepsis , 96,156 , A reinforcement learning model recommended intravenous fluid and vasopressor strategies, mortality was lowest when decisions made by clinicians matched recommendations from the reinforcement learning model , NIHR, EPSRC, Orion Corp, Amomed Pharma, Ferring Pharma, Tenax Therapeutics, Baxter, Bristol-Mysers Squibb, GSK, HCA International, Philips Healthcare, Fresenius-KABI.

Techniques: