Technological tools for predicting pregnancy complications:
"The lack of comprehensive, innovative insights into the intricate world of pregnancy complication prediction is a pressing concern, as these complications can severely impact the health and wellbeing of pregnant patients. As the complexities of maternal healthcare continue to evolve, scholars...
Gespeichert in:
| Weitere Verfasser: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hershey, Pennsylvania
IGI Global
2023
|
| Schlagworte: | |
| Online-Zugang: | DE-1050 DE-898 DE-91 DE-706 Volltext |
| Zusammenfassung: | "The lack of comprehensive, innovative insights into the intricate world of pregnancy complication prediction is a pressing concern, as these complications can severely impact the health and wellbeing of pregnant patients. As the complexities of maternal healthcare continue to evolve, scholars grapple with the challenge of staying at the forefront of research and innovation in this critical field. The unpredictability of pregnancy complications poses significant risks to positive patient outcomes, demanding novel approaches to diagnosis and prevention. The academic community seeks a solution that can bridge the gap between traditional research and the transformative potential of technological advancements in healthcare.Technological Tools for Predicting Pregnancy Complications not only identify the problem but offer an authoritative solution. It serves as a beacon of knowledge for academic scholars, providing a holistic exploration of how Artificial Intelligence (AI) and Machine Learning (ML) technologies can revolutionize maternal healthcare. With a laser focus on predictive models, comprehensive health data analysis, and innovative algorithmic approaches, this book equips scholars with the tools they need to navigate the ever-evolving landscape of pregnancy complications. Academic scholars will find a treasure trove of insights, spanning from the fundamentals of AI and ML in healthcare to the application of IoT devices and wearable sensors for expectant mothers."-- |
| Beschreibung: | 1 Online-Ressource (392 Seiten) |
| ISBN: | 9798369317198 |
| DOI: | 10.4018/979-8-3693-1718-1 |
Internformat
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| 520 | |a "The lack of comprehensive, innovative insights into the intricate world of pregnancy complication prediction is a pressing concern, as these complications can severely impact the health and wellbeing of pregnant patients. As the complexities of maternal healthcare continue to evolve, scholars grapple with the challenge of staying at the forefront of research and innovation in this critical field. The unpredictability of pregnancy complications poses significant risks to positive patient outcomes, demanding novel approaches to diagnosis and prevention. The academic community seeks a solution that can bridge the gap between traditional research and the transformative potential of technological advancements in healthcare.Technological Tools for Predicting Pregnancy Complications not only identify the problem but offer an authoritative solution. It serves as a beacon of knowledge for academic scholars, providing a holistic exploration of how Artificial Intelligence (AI) and Machine Learning (ML) technologies can revolutionize maternal healthcare. With a laser focus on predictive models, comprehensive health data analysis, and innovative algorithmic approaches, this book equips scholars with the tools they need to navigate the ever-evolving landscape of pregnancy complications. Academic scholars will find a treasure trove of insights, spanning from the fundamentals of AI and ML in healthcare to the application of IoT devices and wearable sensors for expectant mothers."-- | ||
| 650 | 4 | |a Pregnancy |x Complications | |
| 650 | 4 | |a Machine learning | |
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Datensatz im Suchindex
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| discipline | Informatik Wirtschaftswissenschaften Medizin |
| discipline_str_mv | Informatik Wirtschaftswissenschaften Medizin |
| doi_str_mv | 10.4018/979-8-3693-1718-1 |
| format | Electronic eBook |
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| id | DE-604.BV049419656 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T23:07:33Z |
| indexdate | 2024-12-19T09:01:11Z |
| institution | BVB |
| isbn | 9798369317198 |
| language | English |
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| oclc_num | 1410705802 |
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| physical | 1 Online-Ressource (392 Seiten) |
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| publishDate | 2023 |
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| publisher | IGI Global |
| record_format | marc |
| spelling | Technological tools for predicting pregnancy complications D. Satishkumar, P. Maniiarasan, editors Hershey, Pennsylvania IGI Global 2023 1 Online-Ressource (392 Seiten) txt rdacontent c rdamedia cr rdacarrier "The lack of comprehensive, innovative insights into the intricate world of pregnancy complication prediction is a pressing concern, as these complications can severely impact the health and wellbeing of pregnant patients. As the complexities of maternal healthcare continue to evolve, scholars grapple with the challenge of staying at the forefront of research and innovation in this critical field. The unpredictability of pregnancy complications poses significant risks to positive patient outcomes, demanding novel approaches to diagnosis and prevention. The academic community seeks a solution that can bridge the gap between traditional research and the transformative potential of technological advancements in healthcare.Technological Tools for Predicting Pregnancy Complications not only identify the problem but offer an authoritative solution. It serves as a beacon of knowledge for academic scholars, providing a holistic exploration of how Artificial Intelligence (AI) and Machine Learning (ML) technologies can revolutionize maternal healthcare. With a laser focus on predictive models, comprehensive health data analysis, and innovative algorithmic approaches, this book equips scholars with the tools they need to navigate the ever-evolving landscape of pregnancy complications. Academic scholars will find a treasure trove of insights, spanning from the fundamentals of AI and ML in healthcare to the application of IoT devices and wearable sensors for expectant mothers."-- Pregnancy Complications Machine learning Satishkumar, D. edt Maniiarasan, P. 1971- edt Erscheint auch als Druck-Ausgabe 9798369317181 https://doi.org/10.4018/979-8-3693-1718-1 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Technological tools for predicting pregnancy complications Pregnancy Complications Machine learning |
| title | Technological tools for predicting pregnancy complications |
| title_auth | Technological tools for predicting pregnancy complications |
| title_exact_search | Technological tools for predicting pregnancy complications |
| title_exact_search_txtP | Technological tools for predicting pregnancy complications |
| title_full | Technological tools for predicting pregnancy complications D. Satishkumar, P. Maniiarasan, editors |
| title_fullStr | Technological tools for predicting pregnancy complications D. Satishkumar, P. Maniiarasan, editors |
| title_full_unstemmed | Technological tools for predicting pregnancy complications D. Satishkumar, P. Maniiarasan, editors |
| title_short | Technological tools for predicting pregnancy complications |
| title_sort | technological tools for predicting pregnancy complications |
| topic | Pregnancy Complications Machine learning |
| topic_facet | Pregnancy Complications Machine learning |
| url | https://doi.org/10.4018/979-8-3693-1718-1 |
| work_keys_str_mv | AT satishkumard technologicaltoolsforpredictingpregnancycomplications AT maniiarasanp technologicaltoolsforpredictingpregnancycomplications |