Record ID | marc_columbia/Columbia-extract-20221130-030.mrc:137983639:4756 |
Source | marc_columbia |
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LEADER: 04756cam a2200709 i 4500
001 14759144
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006 m o d
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008 190724s2019 xx o 000 0 eng d
035 $a(OCoLC)on1110009622
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020 $a9780429052071$q(electronic bk.)
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020 $a9780429708459$q(electronic bk. ;$qPDF)
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035 $a(OCoLC)1110009622$z(OCoLC)1109187523$z(OCoLC)1109973939
037 $a9780429052071$bTaylor & Francis
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245 00 $aARTIFICIAL INTELLIGENCE IN MEDICINE.
264 1 $a[Place of publication not identified] :$bROUTLEDGE,$c2019.
300 $a1 online resource (1 volume)
336 $atext$btxt$2rdacontent
337 $acomputer$bc$2rdamedia
338 $aonline resource$bcr$2rdacarrier
588 0 $aPrint version record.
520 $aThis book introduces the field of artificial intelligence in medicine, a new research area that combines sophisticated representational and computing techniques with the insights of expert physicians to produce tools for improving health care. An introductory chapter describes the historical and technical foundations of the work and provides an overview of the current state of the art and research directions. The authors then describe four prototype computer programs that tackle difficult clinical problems in a manner similar to that of an expert physician. The programs presented are internist, a diagnostic aid that combines a large database of disease/manifestation associations with techniques for problem formulation; expert and the Glaucoma Program which use physiological models for the diagnosis and treatment of eye disease; mycin, a rule-based program for diagnosis and therapy selection for infectious diseases; and the Digitalis Therapy Advisor, which aids the physician in prescribing the right dose of the drug digitalis and also explains its actions.
545 0 $aPeter Szolovits is an associate professor in the Department of Electrical Engineering and Computer Science at the Massachusetts Institute of Technology. A specialist in artificial intelligence (AI) with an emphasis on medical applications, he is currently concerned with fundamental issues of representation and reasoning, including protocol analysis to discover how clinicians reason about probability and causality, and with programs which model human expert performance in some areas of medical diagnosis and care.
505 0 $aPreface -- Artificial Intelligence and Medicine -- Representation of Expert Knowledge for Consultation: The CASNET and EXPERT Projects -- Consultation, Knowledge Acquisition, and Instruction: A Case Study -- The Development of Clinical Expertise in the Computer -- Heuristic Methods for Imposing Structure on III-Structured Problems: The Structuring of Medical Diagnostics -- Modeling Knowledge of the Patient in Acid-Base and Electrolyte Disorders
650 0 $aInformation storage and retrieval systems$xMedicine.
650 0 $aArtificial intelligence$xMedical applications.
650 0 $aMedical informatics.
650 6 $aSystèmes d'information$xMédecine.
650 6 $aIntelligence artificielle en médecine.
650 6 $aMédecine$xInformatique.
650 7 $aSOCIAL SCIENCE$xGeneral.$2bisacsh
650 7 $aSOCIAL SCIENCE$xSociology$xGeneral.$2bisacsh
650 7 $aArtificial intelligence$xMedical applications.$2fast$0(OCoLC)fst00817267
650 7 $aInformation storage and retrieval systems$xMedicine.$2fast$0(OCoLC)fst00972956
650 7 $aMedical informatics.$2fast$0(OCoLC)fst01014175
655 0 $aElectronic books.
655 4 $aElectronic books.
700 1 $aSzolovits, Peter.
776 08 $iPrint version:$tARTIFICIAL INTELLIGENCE IN MEDICINE.$d[Place of publication not identified] : ROUTLEDGE, 2019$z0367022214$w(OCoLC)1104462400
856 40 $uhttp://www.columbia.edu/cgi-bin/cul/resolve?clio14759144$zTaylor & Francis eBooks
852 8 $blweb$hEBOOKS