机构

• 心理研究所 [54]

采集方式

• OAI收割 [54]

内容类型

• 期刊论文 [51]
• 会议论文 [3]

发表日期

• 2024 [3]
• 2023 [12]
• 2022 [10]
• 2021 [6]
• 2020 [6]
• 2019 [5]
• 更多

学科主题

• Other appl... [1]

筛选

浏览/检索结果: 共54条，第1-10条 帮助 限定条件 专题：心理研究所    第一署名单位    第一作者单位    通讯作者单位     条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择提交时间升序提交时间降序发表日期升序发表日期降序题名升序题名降序作者升序作者降序 Identifying stress scores from gait biometrics captured using a camera: A cross-sectional study 期刊论文  OAI收割 GAIT & POSTURE, 2024, 卷号: 109, 页码: 15-21 作者:  Wang, Jingying;  Wen, Yeye;  Zhou, Junhong;  Zhao, Nan;  Zhu, Tingshao   |  收藏  |  浏览/下载：6/0  |  提交时间：2024/04/01 Gait  Perceived stress  Video analysis  Machine learning  Regression   Machine learning-based radiomics to distinguish pulmonary nodules between lung adenocarcinoma and tuberculosis 期刊论文  OAI收割 THORACIC CANCER, 2024, 页码: 11 作者:  Li, Yuan;  Lyu, Baihan;  Wang, Rong;  Peng, Yue;  Ran, Haoyu   |  收藏  |  浏览/下载：8/0  |  提交时间：2024/02/15 lung adenocarcinoma  machine learning  pulmonary nodule  radiomics  tuberculosis   Evaluation Method of Online Education Quality of E-Commerce Course in Higher Vocational Education Based on Machine Learning Model 期刊论文  OAI收割 Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, 2024, 卷号: 544, 页码: 35-50 作者:  Gu, Shanyu;  Ning Ding;  Yiwen Chen   |  收藏  |  浏览/下载：4/0  |  提交时间：2024/02/19 Machine Learning Model  Educational Data Structure  Evaluation Index System  PSO-SVM Model  Vocational E-Commerce Course Online  Education Quality Assessment   Unveiling the potential of machine learning in schizophrenia diagnosis: A meta-analytic study of task-based neuroimaging data 期刊论文  OAI收割 PSYCHIATRY AND CLINICAL NEUROSCIENCES, 2023, 页码: 12 作者:  Wang, Xuan;  Yan, Chao;  Yang, Peng-yuan;  Xia, Zheng;  Cai, Xin-lu   |  收藏  |  浏览/下载：9/0  |  提交时间：2024/01/22 attention  machine learning  meta-analysis  schizophrenia  task-based fMRI   Neuroimaging-based classification of PTSD using data-driven computational approaches: A multisite big data study from the ENIGMA-PGC PTSD consortium 期刊论文  OAI收割 NEUROIMAGE, 2023, 卷号: 283, 页码: 13 作者:  Zhu, Xi;  Kim, Yoojean;  Ravid, Orren;  He, Xiaofu;  Suarez-Jimenez, Benjamin   |  收藏  |  浏览/下载：22/0  |  提交时间：2024/01/22 Posttraumatic stress disorder  Multimodal MRI  Machine learning  Deep learning  Classification   Machine learning-based early diagnosis of autism according to eye movements of real and artificial faces scanning 期刊论文  OAI收割 FRONTIERS IN NEUROSCIENCE, 2023, 卷号: 17, 页码: 10 作者:  Meng, Fanchao;  Li, Fenghua   |  收藏  |  浏览/下载：6/0  |  提交时间：2023/10/30 autism spectrum disorder  eye-tracking  cartoon character  machine learning  random forest   Editorial: Improving the clinical value of digital phenotyping in mental health 期刊论文  OAI收割 FRONTIERS IN PSYCHIATRY, 2023, 卷号: 14, 页码: 2 作者:  Li, Ang;  Liu, Ronghui;  Liu, Xiaoqian;  Han, Jin   |  收藏  |  浏览/下载：5/0  |  提交时间：2023/10/09 digital phenotyping  mental health  artificial intelligence  machine learning  technology innovation   Antipsychotic-based machine learning models may help prediction of tardive dyskinesia in patients with schizophrenia 期刊论文  OAI收割 SCHIZOPHRENIA RESEARCH, 2023, 卷号: 252, 页码: 33-35 作者:  Uludag, Kadir;  Wang, Dong Mei;  Mohamoud, Yasmin;  Wu, Hanjing Emily;  Zhang, Xiangyang   |  收藏  |  浏览/下载：13/0  |  提交时间：2023/03/13 Predicting movement disorder  Tardive dyskinesia  Machine learning  Schizophrenia  Random forest   Identifying Chinese social media users' need for affect from their online behaviors 期刊论文  OAI收割 FRONTIERS IN PUBLIC HEALTH, 2023, 卷号: 10, 页码: 12 作者:  Deng, Hong;  Zhao, Nan;  Wang, Yilin   |  收藏  |  浏览/下载：18/0  |  提交时间：2023/02/27 need for affect  social media  online behavior  mental health  machine learning  Extreme Gradient Boosting   How social media expression can reveal personality 期刊论文  OAI收割 Front. Psychiatry, 2023, 卷号: 14, 期号: 1052844 作者:  Nuo Han;  Sijia Li;  Feng Huang;  Yeye Wen;  Yue Su   |  收藏  |  浏览/下载：11/0  |  提交时间：2023/08/21 personality  social media  machine learning  domain knowledge  psychological lexicons  mental health  Big Five