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Clinical decision making for improving prognosis

Record Type:	Electronic resources : Monograph/item
Title/Author:	Clinical decision making for improving prognosisedited by Rong Liu.
other author:	Liu, Rong.
Published:	Singapore :Springer Nature Singapore :2022.
Description:	xix, 185 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	PrognosisData processing.
Online resource:	https://doi.org/10.1007/978-981-19-2952-6
ISBN:	9789811929526$q(electronic bk.)

Clinical decision making for improving prognosis
Clinical decision making for improving prognosis[electronic resource] /edited by Rong Liu. - Singapore :Springer Nature Singapore :2022. - xix, 185 p. :ill. (some col.), digital ;24 cm.

1 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.

With 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.

ISBN: 9789811929526$q(electronic bk.)

Standard No.: 10.1007/978-981-19-2952-6doiSubjects--Topical Terms:

931903
Prognosis
--Data processing.

LC Class. No.: RC80

Dewey Class. No.: 616.075

Clinical decision making for improving prognosis
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505 0 $a 1 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 $a With 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 $a Prognosis $x Data processing. $3 931903
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650 1 4 $a General Surgery. $3 276754
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