Intelligent Sight and Sound: A Chronic Cancer Pain Dataset

Intelligent Sight and Sound: A Chronic Cancer Pain Dataset是由美国国立卫生研究院国家癌症研究所创建的，旨在通过机器学习技术分析面部成像、语音和口语，以捕捉和分类癌症疼痛。该数据集包含29名正在进行癌症治疗的患者的数据，包括509个智能手机视频、189,999帧视频、自我报告的情绪和活动疼痛评分。数据集的创建旨在确保模型发现具有临床相关性，特别是在评估和处理癌症患者慢性疼痛方面。该数据集的应用领域主要集中在改善癌症患者的疼痛管理，提高其生活质量，并探索机器学习在医疗领域的应用潜力。

Intelligent Sight and Sound: A Chronic Cancer Pain Dataset was created by the National Cancer Institute (NCI) under the National Institutes of Health (NIH) of the United States. This dataset aims to analyze facial imagery, speech and spontaneous spoken language using machine learning techniques to capture and classify cancer pain. It contains data from 29 patients undergoing cancer treatment, including 509 smartphone-recorded videos, 189,999 video frames, and self-reported emotional and activity-related pain scores. The dataset was developed to ensure that models trained on it exhibit clinical relevance, particularly in the evaluation and management of chronic pain among cancer patients. Its primary application areas focus on improving pain management for cancer patients, enhancing their quality of life, and exploring the application potential of machine learning in the healthcare sector.