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Machine Learning and Symptom Patterns in Degenerative Cervical Myelopathy: Web-Based Survey Study

Machine Learning and Symptom Patterns in Degenerative Cervical Myelopathy: Web-Based Survey Study

Munro et al [23] (2023) provide a unique and comprehensive description of the effects of DCM from the perspective of people living with DCM [24,25]. This is a data set that could lend itself to machine learning analysis due to its comprehensiveness. The objective of this study was to explore whether machine learning can identify clinically meaningful groups of patients based on solely clinical features.

Alvaro Yanez Touzet, Tanzil Rujeedawa, Colin Munro, Konstantinos Margetis, Benjamin M Davies

JMIR Form Res 2024;8:e54747

Expectant Parents’ Preferences for Teaching by Texting: Development and Usability Study of SmartMom

Expectant Parents’ Preferences for Teaching by Texting: Development and Usability Study of SmartMom

Different from Munro et al [32], participants in this study were pregnant or recently pregnant during the COVID-19 pandemic, which led to a dramatic shift away from in-person prenatal appointments. Participants spoke about the necessity of having reliable information about pregnancy given the abundance of information available on web-based platforms. They also spoke about the value of social media in pregnancy, which may reflect changes in the use of social media since 2017.

Jennifer B Murray, Alexander Sharp, Sarah Munro, Patricia A Janssen

JMIR Form Res 2023;7:e44661