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

Longitudinal Digital Phenotyping of Multiple Sclerosis Severity Using Passively Sensed Behaviors and Ecological Momentary Assessments: Real-World Evaluation

利用被动感知行为和生态瞬时评估进行多发性硬化症严重程度的纵向数字表型分析:真实世界评估

Xia, Zongqi; Chikersal, Prerna; Venkatesh, Shruthi; Walker, Elizabeth; Dey, Anind K; Goel, Mayank

Detecting Perceived Unfair Treatment Among US College Students Using Mobile Sensing: Pilot Machine Learning Study

利用移动传感技术检测美国大学生感知到的不公平待遇:机器学习试点研究

Ren, Yiyi; Mulukutla, Raghu; Mankoff, Jennifer; Dey, Anind K

Enhancing Interpretable, Transparent, and Unobtrusive Detection of Acute Marijuana Intoxication in Natural Environments: Harnessing Smart Devices and Explainable AI to Empower Just-In-Time Adaptive Interventions: Longitudinal Observational Study

增强自然环境中急性大麻中毒的可解释性、透明性和非侵入性检测:利用智能设备和可解释人工智能实现即时自适应干预:纵向观察研究

Bae, Sang Won; Chung, Tammy; Zhang, Tongze; Dey, Anind K; Islam, Rahul

Mental-LLM: Leveraging Large Language Models for Mental Health Prediction via Online Text Data

Mental-LLM:利用大型语言模型通过在线文本数据预测心理健康

Xu, Xuhai; Yao, Bingsheng; Dong, Yuanzhe; Gabriel, Saadia; Yu, Hong; Hendler, James; Ghassemi, Marzyeh; Dey, Anind K; Wang, Dakuo

Exploring Algorithmic Explainability: Generating Explainable AI Insights for Personalized Clinical Decision Support Focused on Cannabis Intoxication in Young Adults

探索算法可解释性:为针对年轻人大麻中毒的个性化临床决策支持生成可解释的人工智能见解

Zhang, Tongze; Chung, Tammy; Dey, Anind; Bae, Sang Won

Identifying Links Between Productivity and Biobehavioral Rhythms Modeled From Multimodal Sensor Streams: Exploratory Quantitative Study

基于多模态传感器数据流构建的生物行为节律模型与生产力之间联系的识别:探索性定量研究

Yan, Runze; Liu, Xinwen; Dutcher, Janine M; Tumminia, Michael J; Villalba, Daniella; Cohen, Sheldon; Creswell, John D; Creswell, Kasey; Mankoff, Jennifer; Dey, Anind K; Doryab, Afsaneh

Longitudinal Digital Phenotyping of Multiple Sclerosis Severity Using Passively Sensed Behaviors and Ecological Momentary Assessments

利用被动感知行为和生态瞬时评估对多发性硬化症严重程度进行纵向数字表型分析

Xia, Zongqi; Chikersal, Prerna; Venkatesh, Shruthi; Walker, Elizabeth; Dey, Anind; Goel, Mayank

Nightly sleep duration predicts grade point average in the first year of college

夜间睡眠时长可以预测大学第一年的平均绩点。

Creswell, J David; Tumminia, Michael J; Price, Stephen; Sefidgar, Yasaman; Cohen, Sheldon; Ren, Yiyi; Brown, Jennifer; Dey, Anind K; Dutcher, Janine M; Villalba, Daniella; Mankoff, Jennifer; Xu, Xuhai; Creswell, Kasey; Doryab, Afsaneh; Mattingly, Stephen; Striegel, Aaron; Hachen, David; Martinez, Gonzalo; Lovett, Marsha C

Leveraging Mobile Phone Sensors, Machine Learning, and Explainable Artificial Intelligence to Predict Imminent Same-Day Binge-drinking Events to Support Just-in-time Adaptive Interventions: Algorithm Development and Validation Study

利用手机传感器、机器学习和可解释人工智能预测当日即将发生的酗酒事件,以支持及时自适应干预:算法开发与验证研究

Bae, Sang Won; Suffoletto, Brian; Zhang, Tongze; Chung, Tammy; Ozolcer, Melik; Islam, Mohammad Rahul; Dey, Anind K

A Real-Time Mobile Intervention to Reduce Sedentary Behavior Before and After Cancer Surgery: Pilot Randomized Controlled Trial

一项旨在减少癌症手术前后久坐行为的实时移动干预研究:一项试点随机对照试验

Low, Carissa A; Danko, Michaela; Durica, Krina C; Vega, Julio; Li, Meng; Kunta, Abhineeth Reddy; Mulukutla, Raghu; Ren, Yiyi; Sereika, Susan M; Bartlett, David L; Bovbjerg, Dana H; Dey, Anind K; Jakicic, John M