An Intelligent Serious Game for Supporting African and African Caribbean Men during Pre- and Post-Diagnosis of Prostate Cancer

David J. Brown, G. Cosma, G. Acampora, Sarah Seymour‐Smith, A. Close
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引用次数: 1

Abstract

Prostate cancer is the most common cancer diagnosed in men in the UK. Over 40, 000 men are diagnosed with prostate cancer every year and one in four Black men will develop prostate cancer at some point in their lives. High mortality rates among African and African Caribbean men exist due to the various barriers which prevent them from seeking advice and early treatment for prostate cancer. Such barriers include unawareness of risk, symptoms, and treatments for prostate cancer, and trust/mistrust of healthcare services. There is a need for understanding and developing culturally sensitive interventions to enhance knowledge and understanding of prostate cancer in African and African Caribbean men, and to encourage presentation as early as possible, as this could save lives. Serious games and computational intelligence can provide a supportive framework for patients at the pre- and post-diagnosis stages. We are proposing an intelligent serious game which can build a model of the patient via their user-profile and in game responses. This data is analysed by a computational intelligence layer, built beneath the game layer, which assesses the risk factors and feeds back to the patient, via the game layer, timely cues for action. This approach can overcome some of the existing barriers to timely presentation and diagnosis for this target population including their preferences in mining health information, previous negative experiences with health professionals and other barriers which prevent men at risk from seeking medical attention.
一款支持非洲和非洲加勒比地区男性前列腺癌诊断前后的智能严肃游戏
前列腺癌是英国男性中最常见的癌症。每年有超过40,000名男性被诊断患有前列腺癌,四分之一的黑人男性将在他们生命中的某个阶段患上前列腺癌。非洲和非裔加勒比人的死亡率很高,这是由于各种阻碍他们寻求前列腺癌咨询和早期治疗的障碍。这些障碍包括不了解前列腺癌的风险、症状和治疗方法,以及对医疗保健服务的信任/不信任。有必要了解和制定对文化敏感的干预措施,以加强对非洲和非洲加勒比男子前列腺癌的认识和了解,并鼓励尽早就诊,因为这可以挽救生命。严肃的游戏和计算智能可以为患者在诊断前和诊断后阶段提供一个支持性框架。我们正在提出一个智能严肃游戏,可以通过他们的用户配置文件和游戏中的反应建立一个病人的模型。这些数据由构建在游戏层之下的计算智能层进行分析,该层评估风险因素,并通过游戏层及时向患者反馈行动线索。这种方法可以克服一些现有的障碍,使这一目标人群无法及时就诊和诊断,包括他们在挖掘健康信息方面的偏好、以往与卫生专业人员接触的不良经历以及其他阻碍高危男子寻求医疗的障碍。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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