Monitoring Big Data During Mechanical Ventilation in the ICU.
The electronic health record allows the assimilation of large amounts of clinical and laboratory data. Big data describes the analysis of large data sets using computational modeling to reveal patterns, trends, and associations. How can big data be used to predict ventilator discontinuation or impen...
| Publicado en: | Respiratory Care Vol. 65; no. 6; pp. 894 - 911 |
|---|---|
| Autor principal: | |
| Formato: | review tables/charts Journal Article |
| Publicado: |
Mary Ann Liebert, Inc.
Jun2020
|
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=143580366&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 143580366 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 00201324 4GG jtl: Respiratory Care issn: 00201324 maglogo: N pubinfo: dt: Jun2020 vid: 65 iid: 6 pid: 1365 pub: Mary Ann Liebert, Inc. place: New Rochelle, New York artinfo: ui: 143580366 143580366 143580366 10.4187/respcare.07500 143580366 ppf: 894 ppct: 17 formats: fmt: @attributes: type: P tig: atl: Monitoring Big Data During Mechanical Ventilation in the ICU. aug: au: Smallwood, Craig D. affil: Division of Critical Care of Anesthesia, Critical Care and Pain Medicine, Boston Children's Hospital and Harvard Medical School, Boston, Massachusetts sug: subj: Intensive Care Units Respiration, Artificial Data Analytics Data Collection Data Mining Data Science Nomenclature Artificial Intelligence Machine Learning Learning Methods Regression Precision Tracheostomy Treatment Duration Ventilator Weaning Extubation Sepsis Mortality Risk Factors Electronic Health Records Workflow Neural Networks (Computer) ab: The electronic health record allows the assimilation of large amounts of clinical and laboratory data. Big data describes the analysis of large data sets using computational modeling to reveal patterns, trends, and associations. How can big data be used to predict ventilator discontinuation or impending compromise, and how can it be incorporated into the clinical workflow? This article will serve 2 purposes. First, a general overview is provided for the layperson and introduces key concepts, definitions, best practices, and things to watch out for when reading a paper that incorporates machine learning. Second, recent publications at the intersection of big data, machine learning, and mechanical ventilation are presented. pubtype: Academic Journal doctype: review tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
|---|