Daniela Raicu
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View article: 322 Exploring the Iterative Clustering for Subtype Discovery (iKCAT) Algorithm for Robust Computer-Aided Diagnosis of Lung Cancer
322 Exploring the Iterative Clustering for Subtype Discovery (iKCAT) Algorithm for Robust Computer-Aided Diagnosis of Lung Cancer Open
OBJECTIVES/GOALS: With a growing intеrеst in tailoring disеasе diagnosis to еach individual as opposеd to a “onе-sizе-fits-all” approach, our aim is to еnhancе thе robustnеss of thе Itеrativе Clustеring for Subtypе Discovеry (iKCAT) algori…
View article: 318 Discovering Subgroups with Supervised Machine Learning Models for Heterogeneity of Treatment Effect Analysis
318 Discovering Subgroups with Supervised Machine Learning Models for Heterogeneity of Treatment Effect Analysis Open
OBJECTIVES/GOALS: The goal of the study is to provide insights into the use of machine learning methods as a means to predict heterogeneity of treatment effect (HTE) in participants of randomized clinical trials. METHODS/STUDY POPULATION: …
View article: Optimizing Computer-Aided Diagnosis with Cost-Aware Deep Learning Models
Optimizing Computer-Aided Diagnosis with Cost-Aware Deep Learning Models Open
Classical machine learning and deep learning models for Computer-Aided Diagnosis (CAD) commonly focus on overall classification performance, treating misclassification errors (false negatives and false positives) equally during training. T…
View article: Predicting Myalgic Encephalomyelitis/Chronic Fatigue Syndrome from Early Symptoms of COVID-19 Infection
Predicting Myalgic Encephalomyelitis/Chronic Fatigue Syndrome from Early Symptoms of COVID-19 Infection Open
It is still unclear why certain individuals after viral infections continue to have severe symptoms. We investigated if predicting myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) development after contracting COVID-19 is possib…
View article: Evaluation of Eye Gaze Dynamics During Physician-Patient-Computer Interaction in Federally Qualified Health Centers: Systematic Analysis
Evaluation of Eye Gaze Dynamics During Physician-Patient-Computer Interaction in Federally Qualified Health Centers: Systematic Analysis Open
Background Understanding the communication between physicians and patients can identify areas where they can improve and build stronger relationships. This led to better patient outcomes including increased engagement, enhanced adherence t…
View article: Biomedical heterogeneous data categorization and schema mapping toward data integration
Biomedical heterogeneous data categorization and schema mapping toward data integration Open
Data integration is a well-motivated problem in the clinical data science domain. Availability of patient data, reference clinical cases, and datasets for research have the potential to advance the healthcare industry. However, the unstruc…
View article: Evaluation of Eye Gaze Dynamics During Physician-Patient-Computer Interaction in Federally Qualified Health Centers: Systematic Analysis (Preprint)
Evaluation of Eye Gaze Dynamics During Physician-Patient-Computer Interaction in Federally Qualified Health Centers: Systematic Analysis (Preprint) Open
BACKGROUND Understanding the communication between physicians and patients can identify areas where they can improve and build stronger relationships. This led to better patient outcomes including increased engagement, enhanced adherence …
View article: Text Summarization towards Scientific Information Extraction
Text Summarization towards Scientific Information Extraction Open
Despite the exponential growth in scientific textual content, research publications are still the primary means for disseminating vital discoveries to experts within their respective fields. These texts are predominantly written for human …
View article: CompNet: A Designated Model to Handle Combinations of Images and Designed features
CompNet: A Designated Model to Handle Combinations of Images and Designed features Open
Convolutional neural networks (CNNs) are one of the most popular models of Artificial Neural Networks (ANN)s in Computer Vision (CV). A variety of CNN-based structures were developed by researchers to solve problems like image classificati…
View article: Visual Explanations from Deep Networks via Riemann-Stieltjes Integrated Gradient-based Localization
Visual Explanations from Deep Networks via Riemann-Stieltjes Integrated Gradient-based Localization Open
Neural networks are becoming increasingly better at tasks that involve classifying and recognizing images. At the same time techniques intended to explain the network output have been proposed. One such technique is the Gradient-based Clas…
View article: Robust Heatmap Template Generation for COVID-19 Biomarker Detection
Robust Heatmap Template Generation for COVID-19 Biomarker Detection Open
INTRODUCTION: Detecting and identifying patterns in chest X-ray images of Covid-19 patients are important tasks for understanding the disease and for making differential diagnosis. OBJECTIVES: The purpose of this work is to develop a techn…
View article: CNN as a feature extractor in gaze recognition
CNN as a feature extractor in gaze recognition Open
In this paper, we employ a Convolutional Neural Network (CNN) in predicting physician gaze. This paper focuses on two aspects – one comparison between hand-crafted features and CNN-based learned features, and two in investigating the impac…
View article: Comparing automatically extracted topics from online suicidal ideation and the responses they invoke
Comparing automatically extracted topics from online suicidal ideation and the responses they invoke Open
Suicide is a national public health concern, claiming over one million lives each year worldwide. The ability to understand, identify, and respond to suicidal behavior remains a key priority in preventing suicide. As online social networks…
View article: DiiS: A Biomedical Data Access Framework for Aiding Data Driven Research Supporting FAIR Principles
DiiS: A Biomedical Data Access Framework for Aiding Data Driven Research Supporting FAIR Principles Open
Vast amounts of clinical and biomedical research data are produced daily. These data can help enable data driven healthcare through novel biomedical discoveries, improved diagnostics processes, epidemiology, and education. However, finding…
View article: Drusen diagnosis comparison between hyper-spectral and color retinal images
Drusen diagnosis comparison between hyper-spectral and color retinal images Open
Age-related macular degeneration (AMD) is a degenerative aging disorder, which can lead to irreversible vision loss in older individuals. The emergence of clinical applications of retinal hyper-spectral imaging provides a unique opportunit…
View article: Multimodal Ranked Search over Integrated Repository of Radiology Data Sources
Multimodal Ranked Search over Integrated Repository of Radiology Data Sources Open
Radiology teaching files serve as a reference in the diagnosis process and as a learning resource for radiology residents. Many public teaching file data sources are available online and private in-house repositories are maintained in most…
View article: Synthetic Sampling for Multi-Class Malignancy Prediction
Synthetic Sampling for Multi-Class Malignancy Prediction Open
We explore several oversampling techniques for an imbalanced multi-label classification problem, a setting often encountered when developing models for Computer-Aided Diagnosis (CADx) systems. While most CADx systems aim to optimize classi…
View article: tph-1 Strain On Food Recording
tph-1 Strain On Food Recording Open
A sample tracker recording of a tph-1 mutant strain C. Elegans animal, moving freely on a 150mm diameter agar plate with a bacterial lawn of E. Coli.
View article: A Run-Length Encoding Approach for Path Analysis of<i>C. elegans</i>Search Behavior
A Run-Length Encoding Approach for Path Analysis of<i>C. elegans</i>Search Behavior Open
The nematode Caenorhabditis elegans explores the environment using a combination of different movement patterns, which include straight movement, reversal, and turns. We propose to quantify C. elegans movement behavior using a computer vis…
View article: Computational Methods for Tracking, Quantitative Assessment, and Visualization of C. elegans Locomotory Behavior
Computational Methods for Tracking, Quantitative Assessment, and Visualization of C. elegans Locomotory Behavior Open
The nematode Caenorhabditis elegans provides a unique opportunity to interrogate the neural basis of behavior at single neuron resolution. In C. elegans, neural circuits that control behaviors can be formulated based on its complete neural…