Machine Learning Methods for Predicting Postpartum Depression: Scoping Review.
Kiran SaqibAmber Fozia KhanZahid Ahmad ButtPublished in: JMIR mental health (2021)
ML algorithms can analyze larger data sets and perform more advanced computations, which can significantly improve the detection of PPD at an early stage. Further clinical research collaborations are required to fine-tune ML algorithms for prediction and treatment. ML might become part of evidence-based practice in addition to clinical knowledge and existing research evidence.
Keyphrases
- machine learning
- early stage
- big data
- artificial intelligence
- deep learning
- healthcare
- depressive symptoms
- air pollution
- electronic health record
- squamous cell carcinoma
- loop mediated isothermal amplification
- sleep quality
- label free
- sentinel lymph node
- data analysis
- neoadjuvant chemotherapy
- locally advanced
- rectal cancer