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Identifying Direct Coercion in a High Risk Subgroup of Offender Patients With Schizophrenia via Machine Learning Algorithms

机译：通过机器学习算法确定罪犯患者高危患者的高风险亚组直接胁迫

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Moritz Philipp Günther; Johannes Kirchebner; Steffen Lau;
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1. Developing Machine Learning Algorithms using CATIE Schizophrenia Clinical Trial Data to Predict Reduction in Total PANSS Score and Identify Important Patient Outcome Predictors [J] . Podichetty Jagdeep T., Rodriguez-Romero Violeta, Bergstrom Richard F., Journal of pharmacokinetics and pharmacodynamics . 2018,第Suppla期

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2. How can a patient find reliable information online? Machine learning algorithms successfully identify the quality of lay-person directed articles [J] . Dallas Kai B., Rogo-Gupta Lisa, Elliott Christopher S. Neurourology and urodynamics. . 2019,第Suppla1期

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3. Machine Learning Algorithm Identifies Patients at High Risk for Early Complications After Intracranial Tumor Surgery: Registry-Based Cohort Study [J] . van Niftrik Christiaan H. B., van der Wouden Frank, Staartjes Victor E., Neurosurgery . 2019,第4期

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4. Population Health Management Exploiting Machine Learning Algorithms to Identify High-Risk Patients [C] . Silvia Panicacci, Massimiliano Donati, Luca Fanucci, IEEE International Symposium on Computer-Based Medical Systems . 2018

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6. Identifying Direct Coercion in a High Risk Subgroup of Offender Patients With Schizophrenia via Machine Learning Algorithms [O] . Moritz Philipp Günther, Johannes Kirchebner, Steffen Lau 2020

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7. Identifying Subgroups of Patients With Autism by Gene Expression Profiles Using Machine Learning Algorithms [O] . Ping-I Lin, Mohammad Ali Moni, Susan Shur-Fen Gau, 2021

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Identifying Direct Coercion in a High Risk Subgroup of Offender Patients With Schizophrenia via Machine Learning Algorithms

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