PREPARE: PERSONALIZED REHABILITATION VIA NOVEL AI PATIENT STRATIFICATION STRATEGIES

该方案旨在促进慢性非传染性疾病患者的康复护理。由于康复是一个复杂的，多方面的，高度个人化的过程，我们目前缺乏可靠的患者分层和结果预测工具。虽然大数据方法提供了一条前进的道路，但现有的数据集带来了许多挑战。这些挑战可以通过结合临床研究、社会行为和公共卫生研究、数据科学以及先进的统计和人工智能学习方法来克服。我们将在我们的大规模患者数据集上应用机器学习技术，包括关键的社会人口统计学，生活条件和行为信息，以根据预期结果对患者进行分层。随后的分析将考虑康复结果的所有潜在预测因素。基线分层和修饰符将用于开发每种临床情况的综合模型，以提高管理质量，改善结局并降低成本。作为原则的证明，我们将开发一个共享模型结果的平台，利用开放科学EHDEN平台，并通过九种病理的试点病例展示新方法，这些病理构成了全球康复的最主要原因：手部疾病，髋关节和膝关节假体，间歇性跛行，下肢丧失，帕金森病/帕金森综合征，脊柱侧凸，脊柱疾病，颞下颌关节和高血压。我们还将制定认证路线图。该项目将产生创新的、强大的、个性化的和经过验证的数据驱动的计算预测和分层工具，以支持医疗保健专业人员和患者选择最佳治疗策略。

PREPARE aims at advancing rehabilitation care for patients with chronic non-communicable diseases. As rehabilitation is a complex, multifaceted, and highly personal process, we currently lack reliable patient stratification and outcome prediction tools. While big data approaches provide a path forward, existing data sets pose numerous challenges. These challenges can be overcome by combining advances in clinical research, socio-behavioral and public health research, data science, and advanced statistical and AI learning methods. We will apply machine learning techniques on our large-scale patient data sets including key sociodemographic, living conditions, and behavioral information to stratify patients based on expected outcomes. A subsequent analysis will consider all potential predictors for rehabilitation outcome. Baseline strata and modifiers will be used to develop a comprehensive model of each clinical situation to increase management quality, improve outcomes, and reduce costs. As proof of principle we will develop a platform for sharing model results, exploiting the open-science EHDEN platform, and showcase the novel approach through pilot cases of nine pathologies which constitute the most dominant causes for rehabilitation worldwide: hand disorders, hip and knee prosthesis, intermittent claudication, lower limb loss, Parkinson’s disease/Parkinsonisms, scoliosis, spine disorders, temporo-mandibular articulation, and hypertension. We will also develop a certification roadmap. PREPARE will result in innovative, robust, personalized, and validated data-driven computational prediction and stratification tools to support healthcare professionals and patients in selecting the optimal therapy strategy.