"Big data" in the intensive care unit. Closing the data loop.
about
Making big data useful for health care: a summary of the inaugural MIT critical data conferenceCrowdsourcing knowledge discovery and innovations in medicineBig Data Analytics in Healthcare.Optimal data systems: the future of clinical predictions and decision supportPulling It All Together: Envisioning a Data-Driven, Ideal Care SystemBig data are coming to psychiatry: a general introductionA new Critical Care channel in F1000ResearchFrom Pharmacovigilance to Clinical Care OptimizationBeyond open big data: addressing unreliable research.State of the art review: the data revolution in critical careDynamic clinical data mining: search engine-based decision supportA universal decision support system. Addressing the decision-making needs of patients, families, and clinicians in the setting of critical illnessA "datathon" model to support cross-disciplinary collaboration.Big Data Usage Patterns in the Health Care Domain: A Use Case Driven Approach Applied to the Assessment of Vaccination Benefits and Risks. Contribution of the IMIA Primary Healthcare Working Group.A data-driven approach to optimized medication dosing: a focus on heparinWhat's so different about big data?. A primer for clinicians trained to think epidemiologicallyPersonalized mortality prediction driven by electronic medical data and a patient similarity metric.Topological data analysis for discovery in preclinical spinal cord injury and traumatic brain injury.When do confounding by indication and inadequate risk adjustment bias critical care studies? A simulation study.Re-tooling critical care to become a better intensivist: something old and something new.Machine Learning and Decision Support in Critical Care.A path to precision in the ICU."Usability of data integration and visualization software for multidisciplinary pediatric intensive care: a human factors approach to assessing technology".Patient length of stay and mortality prediction: A survey.Closing the Data Loop: An Integrated Open Access Analysis Platform for the MIMIC Database.Only time will tell. Data-driven approaches to phenotyping critical illness.Time-sensitive therapeutics.From Big Data to Artificial Intelligence: Harnessing Data Routinely Collected in the Process of Care.Learning and evolving.Big Data's Role in Precision Public Health.Interactive Visualization and Exploration of Patient Progression in a Hospital Setting.The Dependence of Machine Learning on Electronic Medical Record Quality.Preparing a New Generation of Clinicians for the Era of Big DataThe eICU Collaborative Research Database, a freely available multi-center database for critical care research
P2860
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P2860
"Big data" in the intensive care unit. Closing the data loop.
description
2013 nî lūn-bûn
@nan
2013年の論文
@ja
2013年論文
@yue
2013年論文
@zh-hant
2013年論文
@zh-hk
2013年論文
@zh-mo
2013年論文
@zh-tw
2013年论文
@wuu
2013年论文
@zh
2013年论文
@zh-cn
name
"Big data" in the intensive care unit. Closing the data loop.
@en
"Big data" in the intensive care unit. Closing the data loop.
@nl
type
label
"Big data" in the intensive care unit. Closing the data loop.
@en
"Big data" in the intensive care unit. Closing the data loop.
@nl
prefLabel
"Big data" in the intensive care unit. Closing the data loop.
@en
"Big data" in the intensive care unit. Closing the data loop.
@nl
P2860
P1476
"Big data" in the intensive care unit. Closing the data loop.
@en
P2093
David J Stone
Roger G Mark
P2860
P304
P356
10.1164/RCCM.201212-2311ED
P407
P577
2013-06-01T00:00:00Z