Differential biomarker signatures in unipolar and bipolar depression: A machine learning approach.
CONCLUSION: Our findings show the potential of machine learning models to aid in clinical practice, leading to more objective assessment. Future studies will examine the possibility of combining peripheral blood biomarker data with other biological data to develop more accurate signatures.
PMID: 31789053 [PubMed - as supplied by publisher]
Source: The Australian and New Zealand Journal of Psychiatry - Category: Psychiatry Authors: Wollenhaupt-Aguiar B, Librenza-Garcia D, Bristot G, Przybylski L, Stertz L, Kubiachi Burque R, Ceresér KM, Spanemberg L, Caldieraro MA, Frey BN, Fleck MP, Kauer-Sant'Anna M, Cavalcante Passos I, Kapczinski F Tags: Aust N Z J Psychiatry Source Type: research
More News: Australia Health | Bipolar | Brain | Brain Cancers | Depression | Learning | Mania | Neurology | New Zealand Health | Psychiatry | Study | Universities & Medical Training