PDF(Pubmed)
Abstract：
BACKGROUND: Psycho-oncology care has emerged as a significant concern in contemporary oncology practice, given its profound impact on patient psychological well-being. Patients undergoing treatment for head-neck or upper gastrointestinal tract cancers often experience complex emotional and psychological challenges, necessitating specialized support and intervention. Traditional approaches to psycho-oncological care may be limited in their ability to comprehensively assess and address patients\' needs. Therefore, exploring innovative methodologies, such as leveraging natural language processing (NLP) elements, is crucial to enhancing the effectiveness of psycho-oncological interventions.
METHODS: In this study, we developed a method utilizing natural language processing (NLP) elements to augment psycho-oncological care for patients with head-neck or upper gastrointestinal tract cancers. The method aimed to facilitate vocabulary, sentiment, and intensity analysis of five basic emotions (happiness, sadness, anger, disgust, and fear), as well as to explore potential areas of difficulty such as body image, pain, and self-esteem. We conducted research involving 50 patients across three treatment stages.
RESULTS: Our method facilitated the identification of characteristic features at each treatment stage, aiding in the tailoring of appropriate therapies to individual patient needs. The results offer insights valuable to psychologists and psychiatrists for expedited diagnosis and intervention, potentially influencing therapy outcomes. Additionally, the data may inform treatment decisions by addressing patient-specific concerns. Furthermore, our method holds promise for optimizing the allocation of psychological care resources, particularly at the initial stages of patient contact.
CONCLUSIONS: The main problem in the research was the fairly wide age range of participants, which explains the potential diversity of vocabulary.
CONCLUSIONS: In conclusion, our study demonstrates the potential utility of integrating natural language processing (NLP) elements into psycho-oncological care for patients with head-neck or upper gastrointestinal tract cancers. The developed method offers a novel approach to comprehensively assessing patients\' emotional states and areas of difficulty, thereby facilitating tailored interventions and treatment planning. These findings underscore the importance of continued research and innovation in psycho-oncology to enhance patient care and outcomes.
METHODS: In this study, we developed a method utilizing natural language processing (NLP) elements to augment psycho-oncological care for patients with head-neck or upper gastrointestinal tract cancers. The method aimed to facilitate vocabulary, sentiment, and intensity analysis of five basic emotions (happiness, sadness, anger, disgust, and fear), as well as to explore potential areas of difficulty such as body image, pain, and self-esteem. We conducted research involving 50 patients across three treatment stages.
RESULTS: Our method facilitated the identification of characteristic features at each treatment stage, aiding in the tailoring of appropriate therapies to individual patient needs. The results offer insights valuable to psychologists and psychiatrists for expedited diagnosis and intervention, potentially influencing therapy outcomes. Additionally, the data may inform treatment decisions by addressing patient-specific concerns. Furthermore, our method holds promise for optimizing the allocation of psychological care resources, particularly at the initial stages of patient contact.
CONCLUSIONS: The main problem in the research was the fairly wide age range of participants, which explains the potential diversity of vocabulary.
CONCLUSIONS: In conclusion, our study demonstrates the potential utility of integrating natural language processing (NLP) elements into psycho-oncological care for patients with head-neck or upper gastrointestinal tract cancers. The developed method offers a novel approach to comprehensively assessing patients\' emotional states and areas of difficulty, thereby facilitating tailored interventions and treatment planning. These findings underscore the importance of continued research and innovation in psycho-oncology to enhance patient care and outcomes.
摘要：
背景：心理肿瘤学护理已成为当代肿瘤学实践中的重要问题，鉴于其对患者心理健康的深远影响。接受头颈部或上消化道癌症治疗的患者通常会遇到复杂的情绪和心理挑战，需要专门的支持和干预。传统的心理肿瘤护理方法可能在全面评估和满足患者需求的能力方面受到限制。因此,探索创新方法，例如利用自然语言处理(NLP)元素，对于提高心理肿瘤干预的有效性至关重要。
方法：在本研究中，我们开发了一种利用自然语言处理(NLP)元素来增强头颈部或上消化道癌症患者的心理肿瘤护理的方法.该方法旨在促进词汇，情绪,和五种基本情绪的强度分析(幸福，悲伤，愤怒,厌恶,和恐惧)，以及探索潜在的困难领域，如身体形象，疼痛,还有自尊.我们进行了涉及三个治疗阶段的50名患者的研究。
结果：我们的方法有助于识别每个治疗阶段的特征，帮助根据个体患者的需要定制适当的治疗方法。这些结果为心理学家和精神科医生提供了有价值的见解，可以加快诊断和干预。潜在影响治疗结果。此外,这些数据可以通过解决患者特有的问题为治疗决策提供信息.此外，我们的方法有望优化心理护理资源的配置，特别是在患者接触的初始阶段。
结论：研究中的主要问题是参与者的年龄范围相当广泛，这解释了词汇的潜在多样性。
结论：结论：我们的研究表明,将自然语言处理(NLP)元素整合到患有头颈部或上消化道癌症的患者的心理肿瘤护理中具有潜在的效用.开发的方法提供了一种新的方法来全面评估患者的情绪状态和困难领域，从而促进量身定制的干预措施和治疗计划。这些发现强调了继续研究和创新心理肿瘤学以提高患者护理和预后的重要性。
方法：在本研究中，我们开发了一种利用自然语言处理(NLP)元素来增强头颈部或上消化道癌症患者的心理肿瘤护理的方法.该方法旨在促进词汇，情绪,和五种基本情绪的强度分析(幸福，悲伤，愤怒,厌恶,和恐惧)，以及探索潜在的困难领域，如身体形象，疼痛,还有自尊.我们进行了涉及三个治疗阶段的50名患者的研究。
结果：我们的方法有助于识别每个治疗阶段的特征，帮助根据个体患者的需要定制适当的治疗方法。这些结果为心理学家和精神科医生提供了有价值的见解，可以加快诊断和干预。潜在影响治疗结果。此外,这些数据可以通过解决患者特有的问题为治疗决策提供信息.此外，我们的方法有望优化心理护理资源的配置，特别是在患者接触的初始阶段。
结论：研究中的主要问题是参与者的年龄范围相当广泛，这解释了词汇的潜在多样性。
结论：结论：我们的研究表明,将自然语言处理(NLP)元素整合到患有头颈部或上消化道癌症的患者的心理肿瘤护理中具有潜在的效用.开发的方法提供了一种新的方法来全面评估患者的情绪状态和困难领域，从而促进量身定制的干预措施和治疗计划。这些发现强调了继续研究和创新心理肿瘤学以提高患者护理和预后的重要性。
