most citedMachine Learning and Visualization in Clinical Decision Support: Current State and Future Directions

10 citations · 13 across the 2 of their papers we have counts for

collaborators

5 papers

stat.AP20203 cited

Exploring Gender Disparities in Time to Diagnosis

Tony Y. Sun, Oliver J. Bear Don't Walk, Jennifer L. Chen +2

Sex and gender-based healthcare disparities contribute to differences in health outcomes. We focus on time to diagnosis (TTD) by conducting two large-scale, complementary analyses…

stat.AP2020

Towards Patient Record Summarization Through Joint Phenotype Learning in HIV Patients

Gal Levy-Fix, Jason Zucker, Konstantin Stojanovic +1

Identifying a patient's key problems over time is a common task for providers at the point care, yet a complex and time-consuming activity given current electric health records. To…

q-bio.QM2019

Characterizing physiological and symptomatic variation in menstrual cycles using self-tracked mobile health data

Kathy Li, Iñigo Urteaga, Chris H. Wiggins +4

The menstrual cycle is a key indicator of overall health for women of reproductive age. Previously, menstruation was primarily studied through survey results; however, as menstrual…

cs.LG2019

Multi-Task Gaussian Processes and Dilated Convolutional Networks for Reconstruction of Reproductive Hormonal Dynamics

Iñigo Urteaga, Tristan Bertin, Theresa M. Hardy +2

We present an end-to-end statistical framework for personalized, accurate, and minimally invasive modeling of female reproductive hormonal patterns. Reconstructing and forecasting…

cs.LG201910 cited

Machine Learning and Visualization in Clinical Decision Support: Current State and Future Directions

Gal Levy-Fix, Gilad J. Kuperman, Noémie Elhadad

Deep learning, an area of machine learning, is set to revolutionize patient care. But it is not yet part of standard of care, especially when it comes to individual patient care. I…