Search Results - "Raicu, Daniela"
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1
Automatic extraction of informal topics from online suicidal ideation
Published in BMC bioinformatics (13-06-2018)“…Suicide is an alarming public health problem accounting for a considerable number of deaths each year worldwide. Many more individuals contemplate suicide…”
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322 Exploring the Iterative Clustering for Subtype Discovery (iKCAT) Algorithm for Robust Computer-Aided Diagnosis of Lung Cancer
Published in Journal of clinical and translational science (01-04-2024)“…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…”
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3
Evaluation of Eye Gaze Dynamics During Physician-Patient-Computer Interaction in Federally Qualified Health Centers: Systematic Analysis
Published in JMIR human factors (08-09-2023)“…Background Understanding the communication between physicians and patients can identify areas where they can improve and build stronger relationships. This led…”
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318 Discovering Subgroups with Supervised Machine Learning Models for Heterogeneity of Treatment Effect Analysis
Published in Journal of clinical and translational science (01-04-2024)“…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…”
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Characterizing the role of a high-volume cancer resection ecosystem on low-volume, high-quality surgical care
Published in Surgery (01-10-2016)“…Background Our objective was to determine the hospital resources required for low-volume, high-quality care at high-volume cancer resection centers. Methods…”
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Toward Understanding the Size Dependence of Shape Features for Predicting Spiculation in Lung Nodules for Computer-Aided Diagnosis
Published in Journal of digital imaging (01-12-2015)“…We analyze the importance of shape features for predicting spiculation ratings assigned by radiologists to lung nodules in computed tomography (CT) scans…”
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7
Enhancing Recall Using Data Cleaning for Biomedical Big Data
Published in 2020 IEEE 33rd International Symposium on Computer-Based Medical Systems (CBMS) (01-07-2020)“…In clinical practice, large amounts of heterogeneous medical data are generated on a daily basis. This data has the potential to be used for biomedical…”
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Conference Proceeding -
8
Computational Methods for Tracking, Quantitative Assessment, and Visualization of C. elegans Locomotory Behavior
Published in PloS one (29-12-2015)“…The nematode Caenorhabditis elegans provides a unique opportunity to interrogate the neural basis of behavior at single neuron resolution. In C. elegans,…”
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9
Ontology-Based Radiology Teaching File Summarization, Coverage, and Integration
Published in Journal of digital imaging (01-06-2020)“…Radiology teaching file repositories contain a large amount of information about patient health and radiologist interpretation of medical findings. Although…”
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10
DiiS: A Biomedical Data Access Framework for Aiding Data Driven Research Supporting FAIR Principles
Published in Data (Basel) (01-06-2019)“…Vast amounts of clinical and biomedical research data are produced daily. These data can help enable data driven healthcare through novel biomedical…”
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Biomedical heterogeneous data categorization and schema mapping toward data integration
Published in Frontiers in big data (17-04-2023)“…Data integration is a well-motivated problem in the clinical data science domain. Availability of patient data, reference clinical cases, and datasets for…”
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12
Outcome risk model development for heterogeneity of treatment effect analyses: a comparison of non-parametric machine learning methods and semi-parametric statistical methods
Published in BMC medical research methodology (23-07-2024)“…In randomized clinical trials, treatment effects may vary, and this possibility is referred to as heterogeneity of treatment effect (HTE). One way to quantify…”
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13
Assessing diagnostic complexity: An image feature-based strategy to reduce annotation costs
Published in Computers in biology and medicine (01-07-2015)“…Abstract Computer-aided diagnosis systems can play an important role in lowering the workload of clinical radiologists and reducing costs by automatically…”
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14
Mapping LIDC, RadLex™, and Lung Nodule Image Features
Published in Journal of digital imaging (01-04-2011)“…Ideally, an image should be reported and interpreted in the same way (e.g., the same perceived likelihood of malignancy) or similarly by any two radiologists;…”
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15
Predicting Radiological Panel Opinions Using a Panel of Machine Learning Classifiers
Published in Algorithms (01-12-2009)“…This paper uses an ensemble of classifiers and active learning strategies to predict radiologists’ assessment of the nodules of the Lung Image Database…”
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Consensus Versus Disagreement in Imaging Research: a Case Study Using the LIDC Database
Published in Journal of digital imaging (01-06-2012)“…Traditionally, image studies evaluating the effectiveness of computer-aided diagnosis (CAD) use a single label from a medical expert compared with a single…”
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Predicting Myalgic Encephalomyelitis/Chronic Fatigue Syndrome from Early Symptoms of COVID-19 Infection
Published in Psych (13-10-2023)“…It is still unclear why certain individuals after viral infections continue to have severe symptoms. We investigated if predicting myalgic…”
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18
Optical Flow, Positioning, and Eye Coordination: Automating the Annotation of Physician-Patient Interactions
Published in 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (01-11-2019)“…The widespread adoption of electronic health records within clinical settings has renewed interest in understanding physician-patient interactions. Previous…”
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Conference Proceeding -
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Hand-Eye Coordination: Automating the Annotation of Physician-Patient Interactions
Published in 2019 IEEE 19th International Conference on Bioinformatics and Bioengineering (BIBE) (01-10-2019)“…The widespread adoption of electronic health records within clinical settings has renewed interest in understanding physician-patient interactions. Previous…”
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Conference Proceeding -
20
Synobins: An Intermediate Level towards Annotation and Semantic Retrieval
Published in EURASIP journal on advances in signal processing (16-01-2006)“…: To reason about the meaning of an image, useful information should be provided with that image; however, images often contain little to no textual…”
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