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Machine learning approaches for prediction of bipolar disor..:
Colombo, Federica
;
Calesella, Federico
;
Mazza, Mario Gennaro
...
Neuroscience & Biobehavioral Reviews. 135 (2022) - p. 104552 , 2022
Link:
https://doi.org/10.1016/j.neubiorev.2022.104552
RT Journal T1
Machine learning approaches for prediction of bipolar disorder based on biological, clinical and neuropsychological markers: A systematic review and meta-analysis
UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_j.neubiorev.2022.104552&Exemplar=1&LAN=DE A1 Colombo, Federica A1 Calesella, Federico A1 Mazza, Mario Gennaro A1 Melloni, Elisa Maria Teresa A1 Morelli, Marco J. A1 Scotti, Giulia Maria A1 Benedetti, Francesco A1 Bollettini, Irene A1 Vai, Benedetta PB Elsevier BV YR 2022 SN 0149-7634 JF Neuroscience & Biobehavioral Reviews VO 135 SP 104552 LK http://dx.doi.org/https://doi.org/10.1016/j.neubiorev.2022.104552 DO https://doi.org/10.1016/j.neubiorev.2022.104552 SF ELIB - SuUB Bremen
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