Smart ai-powered wearable sensors for pregnant women
Technological Tools for Predicting Pregnancy Complications, ISSN: 2327-0411, Page: 55-64
2023
- 2Citations
- 3Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Book Chapter Description
Information and communication technology today enables health organizations to contact marginalized people in remote areas using sensing and artificial intelligence technologies. Applications of these technologies are even more crucial for maternal and newborn health because they are essential for a healthy society. Over the past few years, scientists have been researching sensing and artificially intelligent healthcare systems for mother and baby health. Sensors are utilized to monitor patient health parameters. The wearable sensors and AI algorithms mentioned in this chapter are based on existing systems and are designed to estimate risk factors for both mothers and children before, during, and after pregnancy. The sensors and AI algorithms employed in these systems are included in this review, which also examines each approach's characteristics, results, and innovative aspects in chronological sequence. Additionally, it discusses the datasets that were used, additional difficulties, and possible future paths for research.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85175671210&origin=inward; http://dx.doi.org/10.4018/979-8-3693-1718-1.ch004; https://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-1718-1.ch004; https://dx.doi.org/10.4018/979-8-3693-1718-1.ch004; https://www.igi-global.com/gateway/chapter/332207
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