日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Preprocessing Large-Scale Conversational Datasets: A Framework and Its Application to Behavioral Health Transcripts

大规模对话数据集的预处理:一个框架及其在行为健康转录文本中的应用

Naim, Paz Mor; Sadeh-Sharvit, Shiri; Jefroykin, Samuel; Silber, Eddie; Morrison, Dennis P; Goldstein, Ariel

Action recommendations review in community-based therapy and depression and anxiety outcomes: a machine learning approach

社区治疗中抑郁症和焦虑症疗效的行动建议评估:一种机器学习方法

Spinrad, Amit; Taylor, C Barr; Ruzek, Josef I; Jefroykin, Samuel; Friedlander, Tamar; Feleke, Israela; Lev-Ari, Hila; Szapiro, Natalia; Sadeh-Sharvit, Shiri

Correction: Action recommendations review in community-based therapy and depression and anxiety outcomes: a machine learning approach

更正:社区治疗中抑郁症和焦虑症疗效的行动建议审查:一种机器学习方法

Spinrad, Amit; Taylor, C Barr; Ruzek, Josef I; Jefroykin, Samuel; Friedlander, Tamar; Feleke, Israela; Lev-Ari, Hila; Szapiro, Natalia; Sadeh-Sharvit, Shiri

Machine Learning Model to Predict Assignment of Therapy Homework in Behavioral Treatments: Algorithm Development and Validation

基于机器学习的预测行为治疗中治疗作业分配的模型:算法开发与验证

Peretz, Gal; Taylor, C Barr; Ruzek, Josef I; Jefroykin, Samuel; Sadeh-Sharvit, Shiri

A Comparison Between Clinical Guidelines and Real-World Treatment Data in Examining the Use of Session Summaries: Retrospective Study

临床指南与真实世界治疗数据在会诊总结应用方面的比较:回顾性研究

Sadeh-Sharvit, Shiri; Rego, Simon A; Jefroykin, Samuel; Peretz, Gal; Kupershmidt, Tomer