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Clinical decision making for improvi...
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Liu, Rong.
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Clinical decision making for improving prognosis
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Clinical decision making for improving prognosis/ edited by Rong Liu.
其他作者:
Liu, Rong.
出版者:
Singapore :Springer Nature Singapore : : 2022.,
面頁冊數:
xix, 185 p. :ill. (some col.), digital ;24 cm.
內容註:
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.
Contained By:
Springer Nature eBook
標題:
Prognosis - Data processing. -
電子資源:
https://doi.org/10.1007/978-981-19-2952-6
ISBN:
9789811929526
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
Standard No.: 10.1007/978-981-19-2952-6doiSubjects--Topical Terms:
3603152
Prognosis
--Data processing.
LC Class. No.: RC80
Dewey Class. No.: 616.075
Clinical decision making for improving prognosis
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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.
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