Assessing Mothers’ Postpartum Depression From Their Infants’ Cry Vocalizations
Abstract
:1. Introduction
1.1. Postpartum Depression Identification
1.2. Infant Cry
1.3. Cloud Based Model
1.4. Aim and Hypothesis
2. Methods
2.1. Analytic Plan
2.2. Data
2.3. Features Extraction
2.4. Classification
Data Augmentation
3. Results
4. Discussion
Limitations
5. Conclusions
Author Contributions
Funding
Conflicts of Interest
Abbreviations
PPD | Postpartum Depression |
CNS | Central Nervous System |
DSM | Diagnostic and Statistical Manual |
SCID | Structured Clinical Interview |
SaaS | Software as a Service |
SSL | Secure Sockets Layer |
AWGN | Addittive White Gaussian Noise |
LTAS | Long-Term Average Spectrum |
AUC PR | Area Under the Curve: Precision-Recall |
AUC ROC | Area Under the Curve: Receiver Operative Characteristics |
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Metric | Score |
---|---|
AUC PR | 0.954 |
AUC ROC | 0.969 |
Logarithmic Loss | 0.250 |
Accuracy | 89.5% |
Precision | 90.4% |
True positive rate (Recall) | 88.8% |
False positive rate | 0.090 |
Predicted Label | ||
---|---|---|
True Label | False | True |
False | 88% | 12% |
True | 9% | 91% |
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Gabrieli, G.; Bornstein, M.H.; Manian, N.; Esposito, G. Assessing Mothers’ Postpartum Depression From Their Infants’ Cry Vocalizations. Behav. Sci. 2020, 10, 55. https://doi.org/10.3390/bs10020055
Gabrieli G, Bornstein MH, Manian N, Esposito G. Assessing Mothers’ Postpartum Depression From Their Infants’ Cry Vocalizations. Behavioral Sciences. 2020; 10(2):55. https://doi.org/10.3390/bs10020055
Chicago/Turabian StyleGabrieli, Giulio, Marc H. Bornstein, Nanmathi Manian, and Gianluca Esposito. 2020. "Assessing Mothers’ Postpartum Depression From Their Infants’ Cry Vocalizations" Behavioral Sciences 10, no. 2: 55. https://doi.org/10.3390/bs10020055