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Predicting mental health using smart-phone usage and sensor data.

, and . J. Ambient Intell. Humaniz. Comput., 12 (10): 9145-9161 (2021)

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Prediction of Clinical Events in Hemodialysis Patients Using an Artificial Neural Network., , , , , , and . MedInfo, volume 264 of Studies in Health Technology and Informatics, page 1570-1571. IOS Press, (2019)Integrating knowledge, attitude and practice in decision model for maternity care in emerging economy., and . GHTC, page 71-78. IEEE, (2015)Artificial-Intelligence-Based Prediction of Clinical Events among Hemodialysis Patients Using Non-Contact Sensor Data., , , , , , , and . Sensors, 18 (9): 2833 (2018)A social network approach to change detection in the interdependence structure of global stock markets., and . Soc. Netw. Anal. Min., 3 (3): 269-283 (2013)Real-time prediction of smoking activity using machine learning based multi-class classification model., , and . Multim. Tools Appl., 81 (10): 14529-14551 (2022)BandX : An Intelligent IoT-band for Human Activity Recognition based on TinyML., , , and . ICDCN, page 284-285. ACM, (2023)Identifying influential stock indices from global stock markets: A social network analysis approach., and . ANT/MobiWIS, volume 5 of Procedia Computer Science, page 442-449. Elsevier, (2011)Identifying Dominant Economic Sectors and Stock Markets: A Social Network Mining Approach., and . PAKDD Workshops, volume 7867 of Lecture Notes in Computer Science, page 59-70. Springer, (2013)Predicting mental health using smart-phone usage and sensor data., and . J. Ambient Intell. Humaniz. Comput., 12 (10): 9145-9161 (2021)A mobile app based smoking cessation assistance using automated detection of smoking activity., and . COMAD/CODS, page 352-355. ACM, (2018)