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. Limitations: The main problem in the research was the fairly wide age range of participants, which explains the potential diversity of vocabulary. Conclusion: 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.
背景：鉴于心理肿瘤学护理对患者心理健康产生的深远影响，其已成为当代肿瘤学实践中的重要关注点。接受头颈部或上消化道癌症治疗的患者常面临复杂的情感和心理挑战，需要专业的支持与干预。传统的心理肿瘤学护理方法在全面评估和应对患者需求方面可能存在局限。因此，探索创新方法，如利用自然语言处理技术，对于提升心理肿瘤学干预的有效性至关重要。 方法：本研究开发了一种利用自然语言处理技术来增强头颈部或上消化道癌症患者心理肿瘤学护理的方法。该方法旨在促进对五种基本情绪（快乐、悲伤、愤怒、厌恶和恐惧）的词汇、情感和强度分析，并探索身体意象、疼痛和自尊等潜在困难领域。我们纳入了50名处于三个治疗阶段的患者进行研究。 结果：我们的方法有助于识别每个治疗阶段的特征，从而根据患者个体需求定制合适的治疗方案。研究结果为心理学家和精神科医生提供了有价值的见解，有助于加速诊断和干预，并可能影响治疗结果。此外，通过解决患者特定的关切点，这些数据可为治疗决策提供参考。我们的方法还有望优化心理护理资源的分配，尤其是在患者接触的初始阶段。 局限性：本研究的主要问题在于参与者的年龄范围较广，这解释了词汇可能存在的多样性。 结论：总之，我们的研究表明，将自然语言处理技术整合到头颈部或上消化道癌症患者的心理肿瘤学护理中具有潜在的应用价值。所开发的方法为全面评估患者情绪状态和困难领域提供了一种新途径，从而有助于制定个性化的干预和治疗计划。这些发现强调了在心理肿瘤学领域持续研究和创新的重要性，以提升患者护理水平和治疗效果。
肿瘤(癌症)患者之家