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Prognosis is the prediction of the probable outcome of an individual's current medical condition. A prognosis is made on the basis of the normal course of a disease, the individual's physical and psychological condition, and additional factors such as therapeutic approach.
In a randomized clinical trial, alerts based on the detection of abnormalities in electrocardiograms using a deep learning algorithm reduced all-cause mortality at 90 days in patients admitted to hospital emergency or internal medicine departments.
Allgaier et al. scrutinize the performance of machine learning (ML) models applied to 7 longitudinal mHealth datasets. Their study advocates for considering simple heuristics over complex ML models, underscoring the need for robust validation and expert consultation to address hidden groups in data.
Neuroimaging data uncover dynamic trajectories associated with brain cortical changes in women during pregnancy and in the postpartum period that are influenced by the type of childbirth.
A focus on maternal mortality reduction and time-restricted follow-ups after childbirth has led to neglect of long-term labor and birth complications experienced by women.