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Efficacy of an Online Self-Help Treatment for Comorbid Alcohol Misuse and Emotional Problems in Young Adults: Protocol for a Randomized Controlled Trial

Efficacy of an Online Self-Help Treatment for Comorbid Alcohol Misuse and Emotional Problems in Young Adults: Protocol for a Randomized Controlled Trial

On this page, they will be able to see the latest automated message from the research assistant, Deborah, the date on which they started the study, which assessments have been completed, their module progress, and their weekly mood and drinking diary.

Jona R Frohlich, Karli K Rapinda, Michael P Schaub, Andreas Wenger, Christian Baumgartner, Edward A Johnson, Roisin M O'Connor, Norah Vincent, Matthijs Blankers, David D Ebert, Heather Hadjistavropoulos, Corey S Mackenzie, Matthew T Keough

JMIR Res Protoc 2018;7(11):e11298


A Machine Learning Method for Identifying Lung Cancer Based on Routine Blood Indices: Qualitative Feasibility Study

A Machine Learning Method for Identifying Lung Cancer Based on Routine Blood Indices: Qualitative Feasibility Study

Five frequently used indicators were adopted here to evaluate the final performance of the routine blood indices model for lung cancer (RBLC) method, including sensitivity (Sens), specificity (Spec), accuracy (ACC), Matthews correlation coefficient (MCC), and

Jiangpeng Wu, Xiangyi Zan, Liping Gao, Jianhong Zhao, Jing Fan, Hengxue Shi, Yixin Wan, E Yu, Shuyan Li, Xiaodong Xie

JMIR Med Inform 2019;7(3):e13476


Design and Evaluation of a Computer-Based 24-Hour Physical Activity Recall (cpar24) Instrument

Design and Evaluation of a Computer-Based 24-Hour Physical Activity Recall (cpar24) Instrument

For accelerometer data, the activity intensity classification was based on the Freedson formula [18] in combination with the 100 counts per minute cut-off for sedentary activities as suggested by Matthews et al [19], classifying the intensity of activities

Simone Kohler, Gundula Behrens, Matthias Olden, Sebastian E Baumeister, Alexander Horsch, Beate Fischer, Michael F Leitzmann

J Med Internet Res 2017;19(5):e186