THE MOTHERHOOD GUIDE APPLICATION: AI‑BASED ANALYSIS OF INFANT CRYING FOR INTELLIGENT MATERNAL SUPPORT
| dc.contributor.author | Layali Khatib | |
| dc.date.accessioned | 2026-09-15T06:19:21Z | |
| dc.date.available | 2026-09-15T06:19:21Z | |
| dc.date.issued | 2026-05-12 | |
| dc.description.abstract | New mothers, particularly in the early postpartum weeks, face significant challenges in understanding their infants' needs. Crying is the primary means of communication for infants, yet it is often a source of anxiety, stress, and psychological exhaustion for mothers. The inability to interpret the reasons behind crying can lead to frustration, diminished confidence, and negatively impact mother–infant bonding. While digital health applications have emerged as potential solutions, many lack the scientific accuracy required for real-time interpretation. This study highlights the “Motherhood Guide” application as an innovative AI-based solution addressing this gap. | |
| dc.identifier.uri | https://dspace.alquds.edu/handle/20.500.12213/10815 | |
| dc.language.iso | en | |
| dc.publisher | Deanship of Scientific Research - Al-Quds University | |
| dc.title | THE MOTHERHOOD GUIDE APPLICATION: AI‑BASED ANALYSIS OF INFANT CRYING FOR INTELLIGENT MATERNAL SUPPORT | |
| dc.type | Article |