e.g. mhealth
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Equation of the MED-REC predictor estimating the probability of having at least 1 clinically relevant discrepancy. The shape of the formula is , where P is the probability of having at least 1 clinically relevant discrepancy, c is the intercept, xi is the predictor variable and βi is the corresponding β coefficient. For each predictor variable, the β coefficient, odds ratio, 95% CI, and the P value are presented.
a OR: odds ratio.
b ED: emergency department.
c ATC: Anatomical Therapeutic Chemical.
J Med Internet Res 2024;26:e55185
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ML algorithms can process big data and identify complex patterns while being able to build both linear and nonlinear models for the association between predictor variables and outcomes [13]. ML techniques in cardiovascular research are an emerging field that may offer support in clinical decision-making [14]. ML approaches have successfully been implemented to predict coronary artery disease and atrial fibrillation [15,16].
JMIR Cardio 2024;8:e54994
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Another study by Ramos et al [9] also found that intervention engagement, in terms of number of logins, forum visits, and number of participation badges, was a strong predictor of successful SC. Not all studies have shown that intervention engagement predicts intervention effectiveness, even contradictory effects are found.
JMIR Cancer 2024;10:e46303
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Defining Activity Thresholds Triggering a “Stand Hour” for Apple Watch Users: Cross-Sectional Study
predictor
JMIR Form Res 2024;8:e53806
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Average AUC by predictor group and target population. ADL: activities of daily living; AUC: area under the receiver operating characteristic curve; IADL: instrumental activities of daily living.
Predictive ability by target population.
a AUC: area under the receiver operating characteristic curve.
b IADL: instrumental activities of daily living.
c ADL: activities of daily living.
JMIR Aging 2024;7:e53240
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Remarkably, NSSI, despite its absence of initial suicidal intent, is a strong predictor of future suicidal thoughts and behaviors, independent of psychiatric disorders [15-18].
A recent scoping review [19] found that most mobile apps designed to intervene in NSSI were effective in reducing the frequency of urges to self-harm.
JMIR Res Protoc 2024;13:e53597
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Therefore, in this paper, we identified studies that report on the existing data on cough as a predictor of several diagnoses encountered in general practice. The second goal was to subsequently reflect on whether these data are a suitable base to be used for training machine learning models related to the specifics of this clinical setting.
J Med Internet Res 2023;25:e46929
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Use of Artificial Intelligence as a Predictor of the Response to Treatment in Alopecia Areata
predictorUse of Artificial Intelligence as a Predictor of the Response to Treatment in Alopecia Areata
iproc 2021;7(1):e35433
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