Robotics & Machine Learning Daily News2024,Issue(Apr.24) :17-18.

Data on Cesarean Section Reported by Alexandrina Cardoso and Colleagues (Fast He althcare Interoperability Resources-Based Support System for Predicting Delivery Type: Model Development and Evaluation Study)

Robotics & Machine Learning Daily News2024,Issue(Apr.24) :17-18.

Data on Cesarean Section Reported by Alexandrina Cardoso and Colleagues (Fast He althcare Interoperability Resources-Based Support System for Predicting Delivery Type: Model Development and Evaluation Study)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Surgery - Cesarean Sec tion is the subject of a report. Accordingto news reporting originating from Po rto, Portugal, by NewsRx correspondents, research stated, “Theescalating preval ence of cesarean delivery globally poses significant health impacts on mothers a ndnewborns. Despite this trend, the underlying reasons for increased cesarean d elivery rates, which haverisen to 36.3% in Portugal as of 2020, r emain unclear.”

Key words

Porto/Portugal/Europe/Cesarean Sectio n/Cyborgs/Emerging Technologies/Health and Medicine/Hospitals/Investment an d Finance/Machine Learning/Obstetrics/Pregnancy/Surgery/Women’s Health

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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