Supporting self-management of COPD and asthma

该项目的目标是使用监督和无监督学习来预测COPD和哮喘的恶化。最初，该项目将涉及确定需要收集哪些数据以及患者愿意从他们那里收集哪些数据。将在个体患者层面收集数据，如家庭监测传感器，活动数据，咳嗽频率，症状报告和药物治疗，并从人口层面收集数据，如全市空气质量，气象局，交通，花粉计数，与初级保健临床记录和二级保健入院数据和邮政编码相关。如果可能，另一个目的是临床验证预测急性加重的算法的有效性。急性发作是症状恶化的一段时间，难以预测，可能导致一个人的病情恶化，出现并发症，需要紧急护理，可能是致命的。临床上需要有效地预测COPD和哮喘患者的急性加重，以便及早采取干预措施，预防急性加重的严重后果。该项目有许多新颖的方面，包括定义患者收集的数据，结合患者水平和人群水平的数据，实施长期使用的预测算法和预测恶化。该项目包括的方法包括共同设计，主要数据收集，次要数据收集和培训，使用监督和无监督学习验证和测试预测算法。

The objective of the project is to predict exacerbations in COPD and asthma using both supervised and unsupervised learning. Initially, the project will involve identifying what data needs to be collected and what data patients are comfortable having collected from them. Data will be collected at the individual patient level such as home monitoring sensors, activity data, cough frequency, symptom reporting and medication and from the population level such as citywide air quality, met office, traffic, pollen count, linked to primary care clinical records and secondary care admissions data and postcode. If possible, another objective is to clinically validate the effectiveness of the algorithm for predicting exacerbation. Exacerbations are a period of symptom worsening that are difficult to predict and can cause a person's condition to worsen, to develop complications, require emergency care and can be fatal. There is a clinical need to effectively predict exacerbations in people with COPD and asthma so interventions can be applied early to prevent the severe consequences of exacerbation. There are many novel aspects of this project including defining what data patients are comfortable having collected, combining patient-level and population-level data, implementing predictive algorithms to be used over long periods of time and prediction of an exacerbation.The methodologies to be included in this project involve co-design, primary data collection, secondary data collection and training, validation and testing of a predictive algorithm using supervised and unsupervised learning.