Volume 14, Issue 2June 2023Current Issue
Issue Downloads
Skip Table Of Content Section
SECTION: Special Issue on Design and Data Science in Healthcare
introduction
research-article
Optimizing Substance Use Treatment Selection Using Reinforcement Learning
Substance use disorder (SUD) exacts a substantial economic and social cost in the United States, and it is crucial for SUD treatment providers to match patients with feasible, effective, and affordable treatment plans. The availability of large SUD ...
research-article
COVIDAL: A Machine Learning Classifier for Digital COVID-19 Diagnosis in German Hospitals
- Christina C. Bartenschlager,
- Stefanie S. Ebel,
- Sebastian Kling,
- Janne Vehreschild,
- Lutz T. Zabel,
- Christoph D. Spinner,
- Andreas Schuler,
- Axel R. Heller,
- Stefan Borgmann,
- Reinhard Hoffmann,
- Siegbert Rieg,
- Helmut Messmann,
- Martin Hower,
- Jens O. Brunner,
- Frank Hanses,
- Christoph Römmele
For the fight against the COVID-19 pandemic, it is particularly important to map the course of infection, in terms of patients who have currently tested SARS-CoV-2 positive, as accurately as possible. In hospitals, this is even more important because ...
research-article
MediCoSpace: Visual Decision-Support for Doctor-Patient Consultations using Medical Concept Spaces from EHRs
Healthcare systems are under pressure from an aging population, rising costs, and increasingly complex conditions and treatments. Although data are determined to play a bigger role in how doctors diagnose and prescribe treatments, they struggle due to a ...
research-article
Near-Infrared Spectroscopy for Bladder Monitoring: A Machine Learning Approach
Patients living with neurogenic bladder dysfunction can lose the sensation of their bladder filling. To avoid over-distension of the urinary bladder and prevent long-term damage to the urinary tract, the gold standard treatment is clean intermittent ...
research-article
Examining Disease Multimorbidity in U.S. Hospital Visits Before and During COVID-19 Pandemic: A Graph Analytics Approach
Enduring effects of the COVID-19 pandemic on healthcare systems can be preempted by identifying patterns in diseases recorded in hospital visits over time. Disease multimorbidity or simultaneous occurrence of multiple diseases is a growing global public ...
research-article
A Human-in-the-Loop Segmented Mixed-Effects Modeling Method for Analyzing Wearables Data
Wearables are an important source of big data, as they provide real-time high-resolution data logs of health indicators of individuals. Higher-order associations between pairs of variables is common in wearables data. Representing higher-order association ...
research-article
A Multi-Label Classification with an Adversarial-Based Denoising Autoencoder for Medical Image Annotation
Medical image annotation aims to automatically describe the content of medical images. It helps doctors to understand the content of medical images and make better informed decisions like diagnoses. Existing methods mainly follow the approach for natural ...
SECTION: Regular Papers
research-article
Don’t Need All Eggs in One Basket: Reconstructing Composite Embeddings of Customers from Individual-Domain Embeddings
Although building a 360-degree comprehensive view of a customer has been a long-standing goal in marketing, this challenge has not been successfully addressed in many marketing applications because fractured customer data stored across different “silos” ...