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Identifying Adolescent Depression and Anxiety Through Real-World Data and Social Determinants of Health: Machine Learning Model Development and Validation

Identifying Adolescent Depression and Anxiety Through Real-World Data and Social Determinants of Health: Machine Learning Model Development and Validation

First, we examined the association between each predictor and the target outcome using χ2 test for categorical features and t-test or Wilcoxon rank-sum test for continuous features, depending on normality assumptions. Features that did not exhibit significant differences between the two groups were eliminated. Second, we calculated pair-wise correlations between features and removed highly correlated ones (r>0.7) to mitigate multicollinearity.

Mamoun T Mardini, Georges E Khalil, Chen Bai, Aparna Menon DivaKaran, Jessica M Ray

JMIR Ment Health 2025;12:e66665

Enhancing Frailty Assessments for Transcatheter Aortic Valve Replacement Patients Using Structured and Unstructured Data: Real-World Evidence Study

Enhancing Frailty Assessments for Transcatheter Aortic Valve Replacement Patients Using Structured and Unstructured Data: Real-World Evidence Study

A person is classified as frail if they meet 3 or more of the following conditions: (1) unintentional weight loss of 10 pounds or more over the past 6 months; (2) a sense of persistent exhaustion, characterized by a moderate feeling that normal activities were strenuous over the past week or a moderate inability to initiate activities; (3) a reduced pace in walking, as assessed by a nurse; (4) diminished grip strength, determined by a gender-specific T-score below −2.5, based on the highest grip strength recorded

Mamoun T Mardini, Chen Bai, Anthony A Bavry, Ahmed Zaghloul, R David Anderson, Catherine E Crenshaw Price, Mohammad A Z Al-Ani

JMIR Aging 2024;7:e58980

Identifying Potential Factors Associated With Racial Disparities in COVID-19 Outcomes: Retrospective Cohort Study Using Machine Learning on Real-World Data

Identifying Potential Factors Associated With Racial Disparities in COVID-19 Outcomes: Retrospective Cohort Study Using Machine Learning on Real-World Data

For continuous variables, we used the t test for normally distributed data or the Wilcoxon-Mann-Whitney U test when data were not normally distributed. Appropriate transformations were applied to certain continuous variables with skewness to achieve a normal distribution. Following this, z score standardization was used to establish a standard scale for interfactor comparison. We also evaluated mixed correlation coefficients between all variables included in our models.

Osama Dasa, Chen Bai, Ruba Sajdeya, Stephen E Kimmel, Carl J Pepine, Matthew J Gurka J, Reinhard Laubenbacher, Thomas A Pearson, Mamoun T Mardini

JMIR Public Health Surveill 2024;10:e54421

Satisfaction, Usability, and Compliance With the Use of Smartwatches for Ecological Momentary Assessment of Knee Osteoarthritis Symptoms in Older Adults: Usability Study

Satisfaction, Usability, and Compliance With the Use of Smartwatches for Ecological Momentary Assessment of Knee Osteoarthritis Symptoms in Older Adults: Usability Study

Adjusted compliances were compared using the Student t test between two groups and one-way analysis of variance with posthoc tests for more than two comparisons. Differences and associations were considered statistically significant at an α level Table 1 provides demographic characteristics of 27 of the 28 participants who completed the demographic questionnaire.

Charlotte Rouzaud Laborde, Erta Cenko, Mamoun T Mardini, Subhash Nerella, Matin Kheirkhahan, Sanjay Ranka, Roger B Fillingim, Duane B Corbett, Eric Weber, Parisa Rashidi, Todd Manini

JMIR Aging 2021;4(3):e24553