Prediction of lithium response using clinical data
Acta Psychiatrica Scandinavica2019Vol. 141(2), pp. 131–141
Citations Over TimeTop 10% of 2019 papers
Abraham Nunes, Raffaella Ardau, Anne Berghöfer, Alberto Bocchetta, Caterina Chillotti, Valeria Deiana, Julie Garnham, Eva Grof, Tomáš Hájek, Mirko Manchia, B. Müller‐Oerlinghausen, Marco Pinna, Claudia Pisanu, Claire O’Donovan, Giovanni Severino, Claire Slaney, Aleksandra Suwalska, P Zvolský, Pablo Cervantes, Maria Del Zompo, Paul Grof, Janusz Rybakowski, Leonardo Tondo, Thomas Trappenberg, Martin Alda
Abstract
Clinical data can inform out-of-sample LR prediction to a potentially clinically relevant degree. Despite the relevance of clinical course and the absence of rapid cycling, there was substantial between-site heterogeneity with respect to feature importance. Future work must focus on improving classification of true positives, better characterizing between- and within-site heterogeneity, and further testing such models on new external datasets.
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