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A Visual Analytics System for Multi-model Comparison on Clinical Data Predictions [article]

Yiran Li, Takanori Fujiwara, Yong K. Choi, Katherine K. Kim, Kwan-Liu Ma
2020 arXiv   pre-print
With our system, users can generate knowledge on different models' inner criteria and how confidently we can rely on each model's prediction for a certain patient.  ...  In this work, we develop a visual analytics system that compares multiple models' prediction criteria and evaluates their consistency.  ...  National Science Foundation through grant IIS-1741536 and a 2019 Seed Fund Award from CITRIS and the Banatao Institute at the University of California.  ... 
arXiv:2002.10998v2 fatcat:lp7bq2wszbgbbfv5rauefwmlzq

A visual analytics system for multi-model comparison on clinical data predictions

Yiran Li, Takanori Fujiwara, Yong K. Choi, Katherine K. Kim, Kwan-Liu Ma
2020 Visual Informatics  
National Science Foundation through grant IIS-1741536 and a 2019 Seed Fund Award from CITRIS and the Banatao Institute at the University of California.  ...  To address the aforementioned needs, we develop a visual analytics system for multi-model comparison based on the interpretable information.  ...  Their visual analytics system focuses on model simplification and decision path extraction for a selected group of patients.  ... 
doi:10.1016/j.visinf.2020.04.005 fatcat:q5m2yte4qnbw3h2g5yks2ezrsa

Information content and analysis methods for Multi-Modal High-Throughput Biomedical Data

Bisakha Ray, Mikael Henaff, Sisi Ma, Efstratios Efstathiadis, Eric R. Peskin, Marco Picone, Tito Poli, Constantin F. Aliferis, Alexander Statnikov
2014 Scientific Reports  
We obtained 47 datasets/predictive tasks that in total span over 9 data modalities and executed analytic experiments for predicting various clinical phenotypes and outcomes.  ...  While multi-modal data does contain distinct biological information that can be useful for answering complex biology questions, its value for predicting clinical phenotypes and contributions of each type  ...  Olivier Gevaert, Anneleen Daemen, and Yves Moreau for providing clarifications on previously predictive analytics multi-modal studies and HIDIDIT software, and Dr.  ... 
doi:10.1038/srep04411 pmid:24651673 pmcid:PMC3961740 fatcat:zykotjlf3jbsjh4lmvxjfn7mwi

Visual Analytics for Congestive Heart Failure Mortality Prediction

Rema Padman, Ofir Ben-Assuli, Tsipi Heart, Nir Shlomo, Robert Klempfner
2019 Studies in Health Technology and Informatics  
We investigate a novel, data-driven, risk assessment and visualization approach to investigate mortality prediction of CHF patients using data retrieved from an intensively digitized hospital's data repository  ...  These are encouraging results in favor of the proposed visualization approach, and contributes to the current focus on advancing patient care via large-scale visual analytics.  ...  Padman et al. / Visual Analytics for Congestive Heart Failure Mortality Prediction  ... 
doi:10.3233/shti190230 pmid:31437932 fatcat:umoanobdovhsregfwvw4673hne

Demystifying Prescriptive Analytics Frameworks and Techniques

2020 VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE  
Big data analytics is a form of advanced analytics including predictive, prescriptive models and statistical algorithms.  ...  The prescriptive analytics is a later stage of the Big data analytics which is not just anticipating what the event will happen as in the predictive analytics but also suggests the decision options and  ...  , a multi-dimensional graph data model of cyber physical system Prescriptive analytics on the data on the motion (real-time or near real-time) with temporal concept.  ... 
doi:10.35940/ijitee.f4546.049620 fatcat:aage3lyfdfc3pfrhmtpv63ciha

Big Data Analytics in Healthcare Systems

Lidong Wang, Cheryl Ann Alexander
2019 International journal of mathematical, engineering and management sciences  
This paper introduces healthcare data, big data in healthcare systems, and applications and advantages of Big Data analytics in healthcare.  ...  We also present the technological progress of big data in healthcare, such as cloud computing and stream processing. Challenges of Big Data analytics in healthcare systems are also discussed.  ...  Acknowledgement The authors acknowledge and express the gratitude for the support of Technology and Healthcare Solutions, Inc. in Mississippi, USA.  ... 
doi:10.33889/ijmems.2019.4.1-002 fatcat:vcud2kas6rdy7nmx6mrzw2kfyu

Metabolomics and Multi-Omics Integration: A Survey of Computational Methods and Resources

Tara Eicher, Garrett Kinnebrew, Andrew Patt, Kyle Spencer, Kevin Ying, Qin Ma, Raghu Machiraju, and Ewy A. Mathé
2020 Metabolites  
As researchers are increasingly able to collect data on a large scale from multiple clinical and omics modalities, multi-omics integration is becoming a critical component of metabolomics research.  ...  of model accuracy.  ...  Acknowledgments: This work was supported by funding from The Ohio State University Translational Data Analytics Institute and startup funds from The Ohio State University to Ewy A.  ... 
doi:10.3390/metabo10050202 pmid:32429287 pmcid:PMC7281435 fatcat:uv2xr67fwzhvvg57awbfit6vce

Trustworthy Visual Analytics in Clinical Gait Analysis: A Case Study for Patients with Cerebral Palsy [article]

Alexander Rind
2022 arXiv   pre-print
We propose gaitXplorer, a visual analytics approach for the classification of CP-related gait patterns that integrates Grad-CAM, a well-established explainable artificial intelligence algorithm, for explanations  ...  Three-dimensional clinical gait analysis is essential for selecting optimal treatment interventions for patients with cerebral palsy (CP), but generates a large amount of time series data.  ...  grant #866855), by the Austrian Science Fund (FWF, grant #P33531-N), and by the Gesellschaft für Forschungsförderung N Ö (Research Promotion Agency of Lower Austria) within the Endowed Professorship for  ... 
arXiv:2208.05232v1 fatcat:nrn6weq4pnggnfhohqnkp27uqu

CANTARE: finding and visualizing network-based multi-omic predictive models

Janet C Siebert, Martine Saint-Cyr, Sarah J Borengasser, Brandie D Wagner, Catherine A Lozupone, Carsten Görg
2021 BMC Bioinformatics  
One goal of multi-omic studies is to identify interpretable predictive models for outcomes of interest, with analytes drawn from multiple omes.  ...  However, standard analytical approaches are not designed to be "ome aware." Thus, some researchers analyze data from one ome at a time, and then combine predictions across omes.  ...  However, analyzing these high dimensional and complex data sets to identify and visualize tractable multi-omic patterns remains a challenge.  ... 
doi:10.1186/s12859-021-04016-8 pmid:33607938 pmcid:PMC7896366 fatcat:zq3ugwigrfaoncfu445yjbbasa

Critical technologies for bioinformatics

V. Brusic, S. Ranganathan
2008 Briefings in Bioinformatics  
Modeling of biological data refers to in silico approaches such as mathematical and computational modeling, simulation and prediction of biological systems and processes.  ...  Such multi-scale modeling requires advanced techniques of mechanistic modeling, visualization and numerical techniques.  ... 
doi:10.1093/bib/bbn025 pmid:18499720 fatcat:czsclzqf2raj7dzfuvqt2u7i4u

Deep Visual Analytics (DVA): Applications, Challenges and Future Directions

Md Rafiqul Islam, Shanjita Akter, Md Rakybuzzaman Ratan, Abu Raihan M. Kamal, Guandong Xu
2021 Human-Centric Intelligent Systems  
Deep visual analytics visual analytics visual interactive system deep learning machine learning A B S T R A C T Visual interactive system (VIS) has been received significant attention for solving various  ...  In this study, we present several deep learning (DL) techniques for analyzing data with visualization, which summarizes the state-of-the-art review on (i) big data analysis, (ii) cognitive and perception  ...  Kipf et al. (2016) [61] Semi-supervised classification on GCN Zhang et al. (2020) [153] Visualization hybrid model  ... 
doi:10.2991/hcis.k.210704.003 fatcat:wi2oxp66wvan7oc3rgumkvnl3m

SynergyFinder 2.0: visual analytics of multi-drug combination synergies

Aleksandr Ianevski, Anil K Giri, Tero Aittokallio
2020 Nucleic Acids Research  
Since its first release in 2017, SynergyFinder has become a widely used web-tool both for the discovery of novel synergistic drug combinations in pre-clinical model systems (e.g. cell lines or primary  ...  SynergyFinder (https://synergyfinder.fimm.fi) is a stand-alone web-application for interactive analysis and visualization of drug combination screening data.  ...  careful beta-testing of the SynergyFinder release 2.0, and for their valuable suggestions on how to improve the web-tool and make it more user-friendly.  ... 
doi:10.1093/nar/gkaa216 pmid:32246720 pmcid:PMC7319457 fatcat:emgsdi2owbfy7egwcdopxm7nja

Visual Analytics for Electronic Health Records: A Review

Neda Rostamzadeh, Sheikh S. Abdullah, Kamran Sedig
2021 Informatics  
Despite the growing demand for adopting EHRs, the large amount of clinical data has made some analytical and cognitive processes more challenging.  ...  The increasing use of electronic health record (EHR)-based systems has led to the generation of clinical data at an unprecedented rate, which produces an untapped resource for healthcare experts to improve  ...  Analytics There have been several analytics methods used for visual analysis of EHR data.  ... 
doi:10.3390/informatics8010012 fatcat:2ys5kn6esrfv7gim4ygkcteewq

Recent Research Advances on Interactive Machine Learning [article]

Liu Jiang, Shixia Liu, Changjian Chen
2018 arXiv   pre-print
Although recent years have witnessed the proliferation of IML in the field of visual analytics, most recent surveys either focus on a specific area of IML or aim to summarize a visualization field that  ...  is too generic for IML.  ...  ., 2016) develop ConToVi, a visual analytics system for exploring thematic dynamics of speaker utterances in multi-party conversation.  ... 
arXiv:1811.04548v1 fatcat:4pihx2imurd2lj7hc524uiyafi

Systems Biology and Multi-Omics Integration: Viewpoints from the Metabolomics Research Community

Farhana R. Pinu, David J. Beale, Amy M. Paten, Konstantinos Kouremenos, Sanjay Swarup, Horst J. Schirra, David Wishart
2019 Metabolites  
Here we provide some answers (in terms of methods, software tools and databases) along with a variety of recommendations and a list of continuing challenges as identified during a peer session on multi-omics  ...  However, due to their inherent data differences, integrating multiple omics platforms remains an ongoing challenge for many researchers.  ...  for visualizing data on biological pathways  ... 
doi:10.3390/metabo9040076 pmid:31003499 pmcid:PMC6523452 fatcat:deiwu7rgpnb3tfr7glbewoyar4
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