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Computational flow cytometry as a diagnostic tool in suspected‐myelodysplastic syndromes
2021
Cytometry Part A
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For practical advantages (e.g. reduced processing time and costs), a second computational diagnostic workflow was trained, solely based on the best performing single tube of the training cohort. ...
Both workflows outperformed the conventional, expert analyzed flow cytometry scores for diagnosis with respect to accuracy, objectivity and time investment (less than three minutes per patient). ...
ACKNOWLEDGMENTS We would like to thank all technicians for collecting and analyzing the ...
doi:10.1002/cyto.a.24360
pmid:33942494
fatcat:62vq5d7iwfgjveo2wm4cbvp2oq
OP0150 MACHINE LEARNING APPROACHES FOR RISK MODELLING IN INTERSTITIAL LUNG DISEASE ASSOCIATED WITH SYSTEMIC SCLEROSIS USING HIGH DIMENSIONAL IMAGE ANALYSIS
2021
Annals of the Rheumatic Diseases
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Resolving phenotypic and prognostic differences in interstitial lung disease related to systemic sclerosis by computed tomography-based radiomics. https://www.medrxiv.org/content/10.1101/2020.06.09.20124800v1Disclosure ...
As we perform feature selection in 5k CV workflow, features present in at least 2 sets entered model optimization step.During model selection, we selected RF classifier. ...
We have developed a systematic computational workflow to build predictive ML models. To reduce the number of redundant radiomic features, we applied correlation thresholds. ...
doi:10.1136/annrheumdis-2021-eular.2517
fatcat:hreot2hb7zdfxnjanzkqlnn4aq
WOWMON: A Machine Learning-based Profiler for Self-adaptive Instrumentation of Scientific Workflows
2016
Procedia Computer Science
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performance data based on local information from coupled scientific applications of workflows, particularly at runtime. 2) Profiling/tracing with static instrumentation may incur high overhead and significantly ...
Performance debugging using program profiling and tracing for scientific workflows can be extremely difficult for two reasons. 1) Existing performance tools lack the ability to automatically produce global ...
We thank Jai Dayal and Matthew Wolf for their support on the LAMMPS workflow instrumentation. We also thank Wyatt Spear for many discussions during this work. ...
doi:10.1016/j.procs.2016.05.474
fatcat:jr7uyavgcfelncbfwnkz5n66ma
Artificial Intelligence in Digital Breast Pathology: Techniques and Applications
2019
Breast
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In parallel, advances in artificial intelligence (AI) along with the growing digitization of pathology slides for the primary diagnosis are a promising approach to meet the demand for more accurate detection ...
The mainstay of breast cancer workup is histopathological diagnosis - which guides therapy and prognosis. ...
In 2016, the Granada University Hospital system adopted an entirely digital workflow for primary histopathology diagnosis. ...
doi:10.1016/j.breast.2019.12.007
pmid:31935669
pmcid:PMC7375550
fatcat:u24dfeb6zndvpcsx56cgkhcifm
Practical Strategies for Extreme Missing Data Imputation in Dementia Diagnosis
2021
IEEE journal of biomedical and health informatics
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Accurate computational models for clinical decision support systems require clean and reliable data but, in clinical practice, data are often incomplete. ...
In particular, we focus on dementia diagnosis due to long time delays, high variability, high attrition rates and lack of practical data imputation strategies in its diagnostic pathway. ...
Features included 7 different Cognitive and Functional Assessment (CFA) scores as well as Gender, Age and text-based Diagnosis information. ...
doi:10.1109/jbhi.2021.3098511
pmid:34288882
fatcat:zvunfjlcqfcibk3256ocng7coa
Computational biomedicine: The role of workflow tools
2010
Procedia Computer Science
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Distributed and high performance computing are increasingly finding a role in medical research and ultimately simulation using high performance and distributed computing is likely to be used to support ...
In this paper we analyse the needs of computational biomedicine projects to uncover the key, generic requirements they have from a workflow system. ...
. 5. the workflow system should be able to execute applications on batch computing systems. 6. the workflow system should support a high level of security. ...
doi:10.1016/j.procs.2010.04.309
fatcat:d55t4mw5trfsthsknlgoqu2esi
Radiomics and Texture Analysis in Laryngeal Cancer. Looking for New Frontiers in Precision Medicine through Imaging Analysis
2019
Cancers
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We hypothesized that radiomics features can be included as a laryngeal cancer precision medicine tool, as it is able to non-invasively characterize the overall tumor accounting for heterogeneity, being ...
These techniques extract a large number of quantitative features, analyzing their properties to incorporate them in clinical decision-making. ...
The most common image features are those based simply on voxel intensity values within a region of interest (ROI). ...
doi:10.3390/cancers11101409
pmid:31547210
pmcid:PMC6826870
fatcat:quh56irzzvhhnfmsi7ylva463a
Responsible Radiomics Research for Faster Clinical Translation
2017
Journal of Nuclear Medicine
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Computer-aided diagnosis methods and systems exploiting medical images have been developed for decades, but their wide clinical implementation has been hampered by false-positive rates (3) . ...
Other major issues include the limited number of patients available for radiomics research, high false-positive rates (similarly to analogous computer-aided diagnosis methods) and the reporting of over-optimistic ...
doi:10.2967/jnumed.117.200501
pmid:29175982
pmcid:PMC5807530
fatcat:jm5qijrrhrdjbdzmdyrdf7zok4
Practical strategies for large missing data in dementia diagnosis
[article]
2020
medRxiv
pre-print
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This work addresses the problem by evaluating multiple imputation and classification workflows based not only on diagnostic classification accuracy but also computational cost. ...
Accurate computational models for clinical decision support systems require clean and reliable data, but in clinical practice, data are often incomplete. ...
Based on text-based diagnosis from clinicians, AD diagnosis was manually categorized into two classes, AD MILD (mild AD) and AD MOD (moderate AD). ...
doi:10.1101/2020.07.13.20146118
fatcat:um4mmasaubdxlg2u3toqs5sbaq
Current and future applications of artificial intelligence in pathology: a clinical perspective
2020
Journal of Clinical Pathology
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We examine its applications in diagnosis and prognosis, and we offer insights for considerations that could improve clinical applicability of these tools. ...
Then, we discuss its potential to improve workflow efficiency, and its benefits in pathologist education. ...
Acknowledgements We would like to thank Dr Henry Ebili for his kind contribution to this review. ...
doi:10.1136/jclinpath-2020-206908
pmid:32763920
fatcat:h2n4wlqzojdfnnzrfeylohuuli
DIADS: Addressing the "My-Problem-or-Yours" Syndrome with Integrated SAN and Database Diagnosis
2009
USENIX Conference on File and Storage Technologies
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We present DIADS, an integrated DIAgnosis tool for Databases and Storage area networks (SANs). Existing diagnosis tools in this domain have a database-only (e.g., [11] ) or [28] ) focus. ...
The machine learning component provides core techniques for problem diagnosis from monitoring data, and domain knowledge acts as checks-andbalances to guide the diagnosis in the right direction. ...
Diagnosis Workflow: DIADS then invokes the workflow shown in Figure 3 to diagnose the query slowdown based on the monitoring data collected for satisfactory and unsatisfactory runs. ...
dblp:conf/fast/BabuBURS09
fatcat:ey4qpxgynfbrve4kdabskzv2qm
Metabolomics-Based Screening of Inborn Errors of Metabolism: Enhancing Clinical Application with a Robust Computational Pipeline
2021
Metabolites
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The pipeline implements a combination of tools embedded in a workflow environment for large-scale clinical metabolomics data analysis. ...
We have previously established next-generation metabolic screening (NGMS) as a metabolomics-based diagnostic tool for analyzing plasma of individual IEM-suspected patients. ...
Acknowledgments: We are indebted to Siebolt de Boer, Joris Reintjes and Ed van der Heeft for technical assistance in metabolomics measurements. ...
doi:10.3390/metabo11090568
pmid:34564390
pmcid:PMC8470724
fatcat:73twlfpiwzhpvnycuqjyqy26pq
Application of Radiomics and Decision Support Systems for Breast MR Differential Diagnosis
2018
Computational and Mathematical Methods in Medicine
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Over the years, MR systems have evolved from imaging modalities to advanced computational systems producing a variety of numerical parameters that can be used for the noninvasive preoperative assessment ...
The scope of this review is to provide applications and limitations of radiomics towards the development of clinical decision support systems for breast cancer diagnosis and prognosis. ...
.), in the radiomic analysis workflow towards lesion evaluation for diagnosis and Computational and Mathematical Methods in Medicine selection of appropriate treatment plan. e precise definition of breast ...
doi:10.1155/2018/7417126
fatcat:z25pzfuwnzfthdf762nchgcphy
Radiomics: from qualitative to quantitative imaging
2020
British Journal of Radiology
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Handcrafted radiomics is a multistage process in which features based on shape, pixel intensities, and texture are extracted from radiographs. ...
As a result of advances in both computational hardware and machine learning algorithms, computers are making great strides in obtaining quantitative information from imaging and correlating it with outcomes ...
on computerised quantitative analysis of medical data for aiding clinical diagnosis, [7] [8] [9] what later came to be known as computer-aided diagnosis (CAD) systems. ...
doi:10.1259/bjr.20190948
pmid:32101448
fatcat:mnhaur7dyrhanio63v6kdbdthm
Integrating pathology and radiology disciplines: an emerging opportunity?
2012
BMC Medicine
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In addition, lesion characterizations by high-resolution helical computed tomography have introduced a new classification of peripheral lung lesions, such as ground-glass and part-solid nodules, that correlate ...
both humans and computers, to facilitate data mining and querying of reports, to automate image annotation and computer-aided diagnosis, and to enable teaching files and decision support [24, 25] . ...
doi:10.1186/1741-7015-10-100
pmid:22950414
pmcid:PMC3523019
fatcat:q2bwex4mbvbjbilvz765kywn54
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