Publications by authors named "Daniel Phan"
Article Synopsis
- - This paper presents a new method for accurately transferring blood pressure (BP) data from oscillometric devices into medical records, focusing on accessibility for low literacy populations, particularly during pregnancy and postpartum.
- - An automated image transcription technique was developed to capture and analyze BP readings from photos taken in mobile health (mHealth) monitoring programs in Guatemala and Georgia, involving midwives and postpartum women.
- - A deep learning model was created to enhance digit recognition from BP devices, utilizing advanced techniques like the YOLO object detection and convolutional neural networks; training experiments showed that models using transfer learning performed better than those that did not.
Objective: Visual timelines of patient-reported outcomes (PRO) can help prostate cancer survivors manage longitudinal data, compare with population averages, and consider future trajectories. PRO visualizations are most effective when designed with deliberate consideration of users. Yet, graph literacy is often overlooked as a design constraint, particularly when users with limited graph literacy are not engaged in their development.
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