000			02085nam a22003975i 4500
001			978-981-19-2952-6
003			DE-He213
005			20240729134759.0
007			cr nn 008mamaa
008			220901s2022 si | s |||| 0|eng d
020			_a9789811929526 _9978-981-19-2952-6
024	7		_a10.1007/978-981-19-2952-6 _2doi
072		7	_aMNC _2bicssc
072		7	_aMED085000 _2bisacsh
072		7	_aMNC _2thema
245	1	0	_aClinical Decision Making for Improving Prognosis
250			_a1st ed. 2022.
264		1	_aSingapore : _bSpringer Nature Singapore : _bImprint: Springer, _c2022.
300			_aXIX, 185 p. 19 illus., 8 illus. in color. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
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.
650		0	_aSurgery.
650	1	4	_aGeneral Surgery.
700	1		_aLiu, Rong. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
710	2		_aSpringerLink (Online service)
856			_u#gotoholdings _yAccess resource
912			_aZDB-2-SME
912			_aZDB-2-SXM
245			_h[E-Book]
999			_c102006 _d102006