Predicting pregnancy complications through artificial intelligence and machine learning:
"Artificial intelligence models are being used to make labor and delivery safer for mothers and newborns. Sensors are exploited to gauge health parameters, and machine learning techniques are investigated to predict the health conditions of patients to assist medical practitioners. This is a cr...
Saved in:
| Other Authors: | , |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Hershey PA, USA
IGI Global
[2023]
|
| Series: | Advances in Computational Intelligence and Robotics (ACIR)
|
| Subjects: | |
| Online Access: | DE-83 DE-91 DE-706 DE-898 DE-1050 Volltext |
| Summary: | "Artificial intelligence models are being used to make labor and delivery safer for mothers and newborns. Sensors are exploited to gauge health parameters, and machine learning techniques are investigated to predict the health conditions of patients to assist medical practitioners. This is a critical area of study as maternal and infant health are indispensable for a healthy society. Predicting pregnancy complications through artificial intelligence and machine learning considers the recent advances, challenges, and best practices of artificial intelligence and machine learning in relation to pregnancy complications. Covering key topics such as pregnancy complications, wearable sensors, and healthcare technologies, this premier reference source is ideal for nurses, doctors, computer scientists, medical professionals, industry professionals, researchers, academicians, scholars, instructors, and students."-- |
| Physical Description: | 1 Online-Ressource (xxxv, 350 Seiten) Illustrationen, Diagramme |
| ISBN: | 9781668489765 |
| DOI: | 10.4018/978-1-6684-8974-1 |
Staff View
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| 520 | 3 | |a "Artificial intelligence models are being used to make labor and delivery safer for mothers and newborns. Sensors are exploited to gauge health parameters, and machine learning techniques are investigated to predict the health conditions of patients to assist medical practitioners. This is a critical area of study as maternal and infant health are indispensable for a healthy society. Predicting pregnancy complications through artificial intelligence and machine learning considers the recent advances, challenges, and best practices of artificial intelligence and machine learning in relation to pregnancy complications. Covering key topics such as pregnancy complications, wearable sensors, and healthcare technologies, this premier reference source is ideal for nurses, doctors, computer scientists, medical professionals, industry professionals, researchers, academicians, scholars, instructors, and students."-- | |
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| dewey-full | 618.3 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 618 - Gynecology, obstetrics, pediatrics, geriatrics |
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| discipline | Informatik Wirtschaftswissenschaften Medizin |
| discipline_str_mv | Informatik Wirtschaftswissenschaften Medizin |
| doi_str_mv | 10.4018/978-1-6684-8974-1 |
| format | Electronic eBook |
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| id | DE-604.BV049365290 |
| illustrated | Illustrated |
| index_date | 2024-07-03T22:53:03Z |
| indexdate | 2024-12-17T19:01:36Z |
| institution | BVB |
| isbn | 9781668489765 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-034625373 |
| oclc_num | 1409116599 |
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| physical | 1 Online-Ressource (xxxv, 350 Seiten) Illustrationen, Diagramme |
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| publisher | IGI Global |
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| series2 | Advances in Computational Intelligence and Robotics (ACIR) |
| spelling | Predicting pregnancy complications through artificial intelligence and machine learning D. Satish Kumar, P. Maniiarasan Hershey PA, USA IGI Global [2023] 1 Online-Ressource (xxxv, 350 Seiten) Illustrationen, Diagramme txt rdacontent c rdamedia cr rdacarrier Advances in Computational Intelligence and Robotics (ACIR) "Artificial intelligence models are being used to make labor and delivery safer for mothers and newborns. Sensors are exploited to gauge health parameters, and machine learning techniques are investigated to predict the health conditions of patients to assist medical practitioners. This is a critical area of study as maternal and infant health are indispensable for a healthy society. Predicting pregnancy complications through artificial intelligence and machine learning considers the recent advances, challenges, and best practices of artificial intelligence and machine learning in relation to pregnancy complications. Covering key topics such as pregnancy complications, wearable sensors, and healthcare technologies, this premier reference source is ideal for nurses, doctors, computer scientists, medical professionals, industry professionals, researchers, academicians, scholars, instructors, and students."-- Artificial intelligence Pregnancy Complications / diagnosis Artificial Intelligence Kumar, D. Satish edt Maniiarasan, P. 1971- edt http://doi.org/10.4018/978-1-6684-8974-1 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Predicting pregnancy complications through artificial intelligence and machine learning |
| title | Predicting pregnancy complications through artificial intelligence and machine learning |
| title_auth | Predicting pregnancy complications through artificial intelligence and machine learning |
| title_exact_search | Predicting pregnancy complications through artificial intelligence and machine learning |
| title_exact_search_txtP | Predicting pregnancy complications through artificial intelligence and machine learning |
| title_full | Predicting pregnancy complications through artificial intelligence and machine learning D. Satish Kumar, P. Maniiarasan |
| title_fullStr | Predicting pregnancy complications through artificial intelligence and machine learning D. Satish Kumar, P. Maniiarasan |
| title_full_unstemmed | Predicting pregnancy complications through artificial intelligence and machine learning D. Satish Kumar, P. Maniiarasan |
| title_short | Predicting pregnancy complications through artificial intelligence and machine learning |
| title_sort | predicting pregnancy complications through artificial intelligence and machine learning |
| url | http://doi.org/10.4018/978-1-6684-8974-1 |
| work_keys_str_mv | AT kumardsatish predictingpregnancycomplicationsthroughartificialintelligenceandmachinelearning AT maniiarasanp predictingpregnancycomplicationsthroughartificialintelligenceandmachinelearning |