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1 Ergebnisse
1
Predicting Depressive Behavior with Monitoring Activity Dat..:
, In:
2024 6th International Conference on Electrical Engineering and Information & Communication Technology (ICEEICT)
,
Sarder, Md. Hosain
;
Raihan, M.
;
Debnath, Anjan
... - p. 284-289 , 2024
Link:
https://doi.org/10.1109/ICEEICT62016.2024.10534476
RT T1 <cTitle>2024 6th International Conference on Electrical Engineering and Information & Communication Technology (ICEEICT)</cTitle>: T1 <Title>Predicting Depressive Behavior with Monitoring Activity Data Using Machine Learning and Feature Selection Approaches</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10534476&Exemplar=1&LAN=DE A1 Sarder, Md. Hosain A1 Raihan, M. A1 Debnath, Anjan A1 Islam, Md. Shymon A1 Samrat, Nadim A1 Efty, Riyana Islam A1 Hasan, Md. Mahedi A1 Fahimuzzaman, Md. YR 2024 SN 2769-5700 K1 Support vector machines K1 Explainable AI K1 Decision making K1 Time series analysis K1 Mental health K1 Depression K1 Data augmentation K1 Depression classification K1 Activity sensor data K1 XGBoost K1 SHAP SP 284 OP 289 LK http://dx.doi.org/https://doi.org/10.1109/ICEEICT62016.2024.10534476 DO https://doi.org/10.1109/ICEEICT62016.2024.10534476 SF ELIB - SuUB Bremen
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