clinical high risk

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1
Improving the Detection of Individuals at Clinical Risk for Psychosis in the Community, Primary and Secondary Care: An Integrated Evidence-Based Approach.
Fusar-Poli, Paolo;Sullivan, Sarah A;Shah, Jai L;Uhlhaas, Peter J;
2019 Frontiers in psychiatry DOI: 10.3389/fpsyt.2019.0... 239 views
2
Discovery and Validation of Prediction Algorithms for Psychosis in Youths at Clinical High Risk.
Worthington, Michelle A;Cao, Hengyi;Cannon, Tyrone D;
2019 biological psychiatry cognitive neuroscience and n... DOI: S2451-9022(19)30270-... 265 views
3
Learning efficient haptic shape exploration with a rigid tactile sensor array.
Fleer, Sascha;Moringen, Alexandra;Klatzky, Roberta L;Ritter, Helge;
2020 PloS one DOI: 10.1371/journal.pone... 221 views
4
Bayesian framework for simulation of dynamical systems from multidimensional data using recurrent neural network.
Seleznev, Aleksei;Mukhin, Dmitry;Gavrilov, Andrey;Loskutov, Evgeny;Feigin, Alexander;
2019 chaos (woodbury, ny) DOI: 10.1063/1.5128372 237 views
5
On learning Hamiltonian systems from data.
Bertalan, Tom;Dietrich, Felix;Mezić, Igor;Kevrekidis, Ioannis G;
2019 chaos (woodbury, ny) DOI: 10.1063/1.5128231 229 views
6
comorbid mental disorders and 6-month symptomatic and functioning outcomes in chinese university students at clinical high risk for psychosis
;Jingyu Shi;Jingyu Shi;Lu Wang;Yuhong Yao;Na Su;Chenyu Zhan;Ziyu Mao;Xudong Zhao;Xudong Zhao
2017 journal of experimental psychology general DOI: 10.3389/fpsyt.2017.0... 213 views

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Prevention e-health schizophrenia detection risk psychosis Machine learning neuroimaging predictive models risk prediction anxiety depression university students longitudinalpsychiatry