322 citations
- Clemson UniversityUS2 papers
- Autism & Developmental Medicine InstituteUS1 paper
- Bucknell UniversityUS1 paper
- Columbia UniversityUS1 paper
- Geisinger Medical CenterUS1 paper
- Geisinger Neuroscience InstituteUS1 paper
- Johns Hopkins MedicineUS1 paper
- Johns Hopkins UniversityUS1 paper
- Northwestern MedicineUS1 paper
- Northwestern UniversityUS1 paper
- Qatar Airways (Qatar)QA1 paper
- Rochester Institute of TechnologyUS1 paper
6 papers
ClustML: A Measure of Cluster Pattern Complexity in Scatterplots Learnt from Human-labeled Groupings
Mostafa M. Abbas, Ehsan Ullah, Abdelkader Baggag +3
Visual quality measures (VQMs) are designed to support analysts by automatically detecting and quantifying patterns in visualizations. We propose a new VQM for visual grouping patt…
Deep neural networks can predict mortality from 12-lead electrocardiogram voltage data
Sushravya Raghunath, Alvaro E. Ulloa Cerna, Linyuan Jing +12
The electrocardiogram (ECG) is a widely-used medical test, typically consisting of 12 voltage versus time traces collected from surface recordings over the heart. Here we hypothesi…
Characterizing Design Patterns of EHR-Driven Phenotype Extraction Algorithms
Yizhen Zhong, Luke Rasmussen, Yu Deng +10
The automatic development of phenotype algorithms from Electronic Health Record data with machine learning (ML) techniques is of great interest given the current practice is very t…
Robust Spatial Filtering with Graph Convolutional Neural Networks
Felipe Petroski Such, Shagan Sah, Miguel Dominguez +5
Convolutional Neural Networks (CNNs) have recently led to incredible breakthroughs on a variety of pattern recognition problems. Banks of finite impulse response filters are learne…
Multilevel Weighted Support Vector Machine for Classification on Healthcare Data with Missing Values
Talayeh Razzaghi, Oleg Roderick, Ilya Safro +1
This work is motivated by the needs of predictive analytics on healthcare data as represented by Electronic Medical Records. Such data is invariably problematic: noisy, with missin…
Fast Imbalanced Classification of Healthcare Data with Missing Values
Talayeh Razzaghi, Oleg Roderick, Ilya Safro +1
In medical domain, data features often contain missing values. This can create serious bias in the predictive modeling. Typical standard data mining methods often produce poor perf…