Are We There Yet? Predicting Conversion to Psychosis Using Machine Learning.
Are We There Yet? Predicting Conversion to Psychosis Using Machine Learning.
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我们到了吗？
DOI：
10.1176/appi.ajp.20220973
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发表时间：
2023
期刊：
影响因子：
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通讯作者：
Carter,CameronS
中科院分区：
文献类型：
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作者：
Smucny,Jason;Davidson,Ian;Carter,CameronS
表1和表2提供了参与者（包括健康对照组）的TSD表和临床信息。如前所述（8），相对于健康对照组，临床高风险参与者的精神分裂症认知简要评估（BACS）符号编码和霍普金斯言语学习测试（HVLT）评分较低，创伤较多，过去一年（即基线前）社会功能下降较大，不良生活事件较多，SIPS妄想加怀疑评分较高，唾液皮质醇较高。较高比例的临床高风险参与者也有一级亲属患有精神病。
RESULTSDemographic and clinical information for participants (including the healthy control group) is provided in Table 1 and Table 2. As previously reported (8), relative to the healthy control group, clinical high-risk participants had lower Brief Assessment of Cognition in Schizophrenia (BACS) symbol coding and Hopkins Verbal Learning Test (HVLT) scores, more trauma, greater decrease in social functioning over the past year (ie, prior to baseline), more undesirable life events, higher SIPS delusions plus suspicions score, and greater salivary cortisol. A higher percentage of clinical high-risk participants also had a first-degree relative with psychosis.