output
20122024
most citedDeep EHR: A Survey of Recent Advances in Deep Learning Techniques for Electronic Health Record (EHR) Analysis

1.7k citations

Showing 2019Show all

7 papers · 1 filter

cs.LG2019★ 67 cited

Federated Learning for Healthcare Informatics

Jie Xu, Benjamin S. Glicksberg, Chang Su +3

With the rapid development of computer software and hardware technologies, more and more healthcare data are becoming readily available from clinical institutions, patients, insura…

stat.AP2019★ 1 cited

IFAA: Robust association identification and Inference For Absolute Abundance in microbiome analyses

Zhigang Li, Lu Tian, A. James O'Malley +8

The target of inference in microbiome analyses is usually relative abundance (RA) because RA in a sample (e.g., stool) can be considered as an approximation of RA in an entire ecos…

q-bio.QM2019★ 10 cited

Identifying Cancer Patients at Risk for Heart Failure Using Machine Learning Methods

Xi Yang, Yan Gong, Nida Waheed +4

Cardiotoxicity related to cancer therapies has become a serious issue, diminishing cancer treatment outcomes and quality of life. Early detection of cancer patients at risk for car…

eess.IV2019★ 115 cited

Augmenting the Pathology Lab: An Intelligent Whole Slide Image Classification System for the Real World

Julianna D. Ianni, Rajath E. Soans, Sivaramakrishnan Sankarapandian +9

Standard of care diagnostic procedure for suspected skin cancer is microscopic examination of hematoxylin \& eosin stained tissue by a pathologist. Areas of high inter-pathologist…

cs.CY2019★ 3 cited

Understanding Perceptions and Attitudes in Breast Cancer Discussions on Twitter

Francois Modave, Yunpeng Zhao, Janice Krieger +5

Among American women, the rate of breast cancer is only second to lung cancer. An estimated 12.4% women will develop breast cancer over the course of their lifetime. The widespread…

cs.LG2019★ 7 cited

Enhancing Prediction Models for One-Year Mortality in Patients with Acute Myocardial Infarction and Post Myocardial Infarction Syndrome

Seyedeh Neelufar Payrovnaziri, Laura A. Barrett, Daniel Bis +2

Predicting the risk of mortality for patients with acute myocardial infarction (AMI) using electronic health records (EHRs) data can help identify risky patients who might need mor…

q-bio.OT2019★ 690 cited

Mapping the Human Body at Cellular Resolution -- The NIH Common Fund Human BioMolecular Atlas Program

Michael P Snyder, Shin Lin, Amanda Posgai +22

Transformative technologies are enabling the construction of three dimensional (3D) maps of tissues with unprecedented spatial and molecular resolution. Over the next seven years,…