PsyberNetTM—a length-of-stay predictor for psychiatry.
A review of software program PsyberNetTM|AmA Length-of-Stay Predictor for Psychiatry, by George E. Davis, Walter E. Lowell, and Geoffrey L. Davis. This program offers a quick second opinion about predicted length of stay for psychiatric inpatients and could be administered in preadmission screening...
| Publicado en: | American Journal of Psychotherapy Vol. 49; pp. 309 - 311 |
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| Formato: | Product Evaluation |
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Association for the Advancement of Psychotherapy
Spring 1995
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=510131012&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 510131012 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00029564 ATC jtl: American Journal of Psychotherapy issn: 00029564 maglogo: N pubinfo: dt: Spring 1995 vid: 49 pid: 520 pub: Association for the Advancement of Psychotherapy artinfo: ui: 510131012 ppf: 309 ppct: 2 formats: fmt: @attributes: type: T tig: atl: PsyberNetTM—a length-of-stay predictor for psychiatry. aug: au: Zarr, Michael L. su: Psychotherapy Computer software sug: subj: Psychotherapy Computer software ab: A review of software program PsyberNetTM|AmA Length-of-Stay Predictor for Psychiatry, by George E. Davis, Walter E. Lowell, and Geoffrey L. Davis. This program offers a quick second opinion about predicted length of stay for psychiatric inpatients and could be administered in preadmission screening. Based on neural network programming, the program's algorithms are “retrained” with the data of the clinician's own institution or practice. As data are accumulated, the software adjusts the weights of a variety of factors based upon the characteristics of the clinician's population. PsybernetTM demonstrates how artificial intelligence can potentially meet very specific needs and help manage resource utilization. It is software that could be explored by any psychiatric program that wanted to better grasp issues relating to discharge planning and inpatient length of stay. The program and some of its functions are described. pubtype: Academic Journal doctype: Product Evaluation src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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