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📄 Ensemble machine learning model trained on a new synthesized dataset generalizes well for stress prediction using wearable devices 🔗 Paper: https://doi.org/10.1016/j.jbi.2023.10... 👥 Authors: Gideon Vos, Kelly Trinh, Zoltan Sarnyai, Mostafa Rahimi Azghadi 📅 Published: 2023 | Journal of Biomedical Informatics 🏷️ Topics: considered, table, shows, details, about ABSTRACT: of the datasets which were considered in this study. The table also shows details about these datasets including their number of subjects, available biomarkers, their wearable devices, and labeling strategies, which will be discussed in more details. Currently, stress-related and personalized questionnaires are mainly used to measure or score (label) stress in real-life and outside of a laboratory context. However, this technique does not allow for contin- uous monitoring, and often suffers from TIMESTAMPS: 00:00 - Introduction 01:06 - Well, currently, how do most... 02:13 - The main challenge, Chuck, is... 03:20 - Thats a fantastic analogy, Chuck!... 04:33 - They propose a few clever... 05:38 - This is where it gets... 06:54 - Great question, Chuck. When we... 08:07 - So, the machine learning model... 09:25 - Some lines are high, some... 10:30 - In a way, yes! Think... 11:46 - Well, they looked at the... 13:02 - Okay, so before they did... 14:04 - They are, Chuck. Figure 7... 15:04 - False negatives? Is that when... 16:22 - Oh, wow, the blue line... 17:27 - Over 25%! Thats huge! So,... 18:48 - Thats such a clear visual... 19:53 - This is super exciting, Tyson.... 21:00 - So it moves us from... 22:09 - Interesting! So, the blue line... 23:18 - So, making the models even... 24:25 - And that wraps up another... DISCLAIMER: This video contains AI-generated synthetic voices inspired by public figures. These voices are artificially created and do not represent the real persons. This content is for educational and research purposes only and is not affiliated with, endorsed by, or sponsored by Chuck Nice, Neil deGrasse Tyson, or any associated organizations. #AIResearch #MachineLearning #DeepLearning #ResearchPaper #PaperSummary #NaturalLanguageProcessing