Sessions

Predicting Progression of Type 2 Diabetes using Primary Care Data with the Help of Machine Learning

Complementary and alternative medicine (CAM) is widely adopted by families with autistic children. This study aims to predict family caregivers' CAM implementation based on the behavioral (degree and betweenness), environmental (positive feedback and social persuasion), and personal features (language style) of family caregivers in online communities.

Patients with cancer starting invasive treatment programs often develop depression that physicians struggle to recognize at an early stage. We developed a prediction model for early identification of patients at risk for depression within the first month of chemo- or radiotherapy treatment to assist physicians and healthcare workers. 

Traditional sample size estimation for sufficient model performance is not applicable for machine learning, especially in the field of electrocardiograms (ECGs). This presentation outlines a sample size estimation strategy for binary classification problems on ECGs. The post-hoc sample size estimations are based on a benchmark across different architectures and different classification targets. The results indicate trends for required sample sizes for given tasks and architectures, which can be used as orientation for future ECG studies or feasibility aspects.

There is no adequate information focusing on the physician-end, their experiences, and their perception of usability with an eHealth intervention. The aim of this study was to evaluate physician satisfaction, and perception of usability following the use of the MyPal platform, a digital health intervention to foster palliative care for hematological cancer patients. Participants were healthcare professionals active in the project’s multinational randomized clinical trial evaluating the impact of the MyPal platform. A post-study electronic questionnaire was administered comprised of; 2 standardized questionnaires (PSSUQ, UEQ) and a feature satisfaction questionnaire, and an open-ended question. All questionnaire scores were relatively high and the platform was more than marginally accepted by all participants.

France is currently in the process to establish a pathway for temporary reimbursement for digital health solutions, including both therapeutic solutions (DTx) and remote monitoring. This presentation will give an overview of what this new pathway entails.