Prenatal depression level prediction using ensemble based deep learning model
Background and objective:: Many people find that the emotional and mental strain of labor and delivery is greater than they anticipated. However, there are few reports on stress levels during pregnancy, and there is limited research into stress observation during delivery. Prenatal depression during...
Saved in:
Main Authors: | Abinaya Gopalakrishnan, Xujuan Zhou, Revathi Venkataraman, Raj Gururajan, Ka Ching Chan, Guohun Zhu, Niall Higgins |
---|---|
Format: | Article |
Language: | English |
Published: |
KeAi Communications Co., Ltd.
2025-12-01
|
Series: | International Journal of Cognitive Computing in Engineering |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2666307424000548 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Electrodermal activity and skin temperature characteristics related to stress and depression: A 4-week observational study of office workers
by: Yuki Ishikawa, et al.
Published: (2025-04-01) -
Depression Recognition Using Daily Wearable-Derived Physiological Data
by: Xinyu Shui, et al.
Published: (2025-01-01) -
Detecting Atrial Fibrillation Using Smartwatches
by: Agnieszka Kulczycka-Rowicka, et al.
Published: (2025-02-01) -
Developmental defects in ectodermal appendages caused by missense mutation in edaradd gene in the nfr mangrove killifish kryptolebias marmoratus
by: Hussein A. Saud, et al.
Published: (2025-01-01) -
Application of flexible electronic materials and devices
by: Cuiping YU, et al.
Published: (2019-09-01)