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020 _a9789811929526
024 7 _a10.1007/978-981-19-2952-6
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
050 4 _aRC71
_b2022 EB
245 0 0 _aClinical Decision Making for Improving Prognosis
_cedited by Rong Liu
250 _a1st edition 2022
264 1 _aSingapore
_bSpringer International Publishing
_c2022
300 _a1 recurso en línea (XIX, 185 páginas)
_b19 ilustraciones, 8 ilustraciones a color
336 _atexto
_btxt
_2rdacontent
337 _aelectrónico
_bc
_2rdamedia
338 _arecurso electrónico
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
505 0 _a1 Introduction -- 2 Surgical Risk Management -- 3 Decision Making Process for Interveners -- 4 Optimization of Interventions -- 5 The choice of intervention timing -- 6 Strategies of clinical decision making for improving prognosis.
520 _aWith the advent of artificial intelligence and big data era, a new concept of clinical decision making for improving surgical outcomes was proposed, which emphasizes the optimal prognosis and best outcome for patients, makes full use of information technology such as artificial intelligence to reduce the uncertainty in the treatment process and the unevenness of the treatment level, and selects the most appropriate intervention means and intervention timing through objective evaluation. It will be helpful for surgeons to choose treatment options which will be effective to patients.
988 _aSpringer_Medicine_2022
650 7 _2embne
_9138439
_aDiagnóstico
_xProceso de datos
700 1 _aLiu, Rong
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
776 0 8 _iPrinted edition:
_z9789811929519
776 0 8 _iPrinted edition:
_z9789811929533
776 0 8 _iPrinted edition:
_z9789811929540
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-19-2952-6
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
998 _b12/2022
_dz
_eb
_zSI