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Online Scan Diagnosis : A Novel Approach to Volume Diagnosis

I-De Huang, Pallav Gupta, Loganathan Lingappan, Vijay Gangaram
2018 2018 IEEE International Test Conference (ITC)  
Computationally efficient capture and chain diagnosis algorithms are developed to query the DB to form a suspect universe that explains the fail signature.  ...  Diagnosis or fault dictionary based methods are employed to pre-generate a suspect database (DB) for each design partition.  ...  In order for this pinpath to be a suspect, it need explain the failed pattern with a faulty value at the pinpath that can be propagated and observed at those failed scan cells.  ... 
doi:10.1109/test.2018.8624686 dblp:conf/itc/HuangGLG18 fatcat:dp52hunfanbklpdwsznupfan3a


Aniello Buonanno, Michele D'Urso, Maurizio Cicolani, Stefano Mosca
2009 Electromagnetic Waves  
A deterministic method for detecting faulty elements in phased arrays is proposed and tested against experimental and numerical data.  ...  stable by adopting a proper regularization scheme based on the Truncated Singular Value Decomposition tool.  ...  In Section III the proposed method is experimentally compared with the classical method in [10] for the case of a fully active phased array and then numerically tested for the case of a conformal array  ... 
doi:10.2528/pier09031704 fatcat:ys4v6kdsprdh3hiah7m5d3nsli

Machine Learning Enables Prediction of Cardiac Amyloidosis by Routine Laboratory Parameters: A Proof-of-Concept Study

Asan Agibetov, Benjamin Seirer, Theresa-Marie Dachs, Matthias Koschutnik, Daniel Dalos, René Rettl, Franz Duca, Lore Schrutka, Hermine Agis, Renate Kain, Michela Auer-Grumbach, Christina Binder (+5 others)
2020 Journal of Clinical Medicine  
(1) Background: Cardiac amyloidosis (CA) is a rare and complex condition with poor prognosis.  ...  In a second step, we used an ML algorithm based on gradient tree boosting to improve our linear prediction model, and to perform non-linear prediction.  ...  We tested our algorithm on pre-selected cohorts manifesting symptoms of HF with an amyloidosis prevalence of 23%, which is relatively high for a rare disease with a prevalence of 1 in 10,000.  ... 
doi:10.3390/jcm9051334 pmid:32375287 fatcat:3o4xswrwvzhbfplewn7sigjl2q

Non-Adaptive Fault Diagnosis for All-Optical Networks via Combinatorial Group Testing on Graphs

N. J. A. Harvey, M. Patrascu, Y. Wen, S. Yekhanin, V. W. S. Chan
2007 IEEE INFOCOM 2007 - 26th IEEE International Conference on Computer Communications  
This fault diagnosis problem motivates a new technical framework that we introduce: group testing with graph-based constraints.  ...  Our work concentrates on non-adaptive probing schemes, in order to meet the stringent time requirements for fault recovery.  ...  EFFICIENT DIAGNOSIS WITH ARBITRARY TOPOLOGIES We now provide efficient testing algorithms for arbitrary graphs and arbitrary trees.  ... 
doi:10.1109/infcom.2007.87 dblp:conf/infocom/HarveyPWYC07 fatcat:bdts7sc3mvbqpdick4uthakjbq

Construction and Validation of Synthetic Electronic Medical Records

Linda Moniz, Anna L. Buczak, Lang Hung, Steven Babin, Michael Dorko, Joseph Lombardo
2009 Online Journal of Public Health Informatics  
There is a current and pressing need for a test bed of electronic medical records (EMRs) to insure consistent development, validation and verification of public health related algorithms that operate on  ...  The properties of the synthetic EMRs were validated, both in the entire aggregate data set and for individual (synthetic) patients.  ...  The intent of the project was to produce a data set that can be used as a stand-in for real electronic medical records in algorithm testing.  ... 
doi:10.5210/ojphi.v1i1.2720 pmid:23569572 pmcid:PMC3615749 fatcat:uskzh3gdkjaqbljxocp6pse36u

Machinery Prognostic Method Based on Multi-Class Support Vector Machines and Hybrid Differential Evolution – Particle Swarm Optimization

J.K. Kimotho, C. Sondermann-Wolke, T. Meyer, W. Sextro
2013 Chemical Engineering Transactions  
The differential algorithm (DE) obtains the search limit for the SVM parameters, while the particle swarm optimization algorithm (PSO) determines the global optimum parameters for a given training data  ...  Recently, focus on maintenance strategies has been shifted towards prognostic health management (PHM) and a number of state of the art algorithms based on data-driven prognostics have been developed to  ...  The testing data sets are truncated run to failure data sets, and the prognostic algorithm is required to estimate the operation time from the truncation point to failure.  ... 
doi:10.3303/cet1333104 doaj:56ca7a41531d47379b9ee8c19f1c2a44 fatcat:ilxngfqlmfevdplkm462v2ayby

Intelligent diagnosis with Chinese electronic medical records based on convolutional neural networks

Xiaozheng Li, Huazhen Wang, Huixin He, Jixiang Du, Jian Chen, Jinzhun Wu
2019 BMC Bioinformatics  
of the content of Chinese EMRs. (3) A fine-tuning CNN model is constructed to feed the pediatric diagnosis with Chinese EMR data.  ...  Results: In this paper, we propose a deep learning framework to study intelligent diagnosis using Chinese EMR data, which incorporates a convolutional neural network (CNN) into an EMR classification application  ...  Acknowledgements We thank Professor Bicheng Li for his helpful guidance during the writing of the manuscript.  ... 
doi:10.1186/s12859-019-2617-8 fatcat:vsddtl6yhrhrhh34u33kqsndra

Emergency Department Admissions Overflow Modeling by a Clustering of Time Evolving Clinical Diagnoses

Gregory Soler, Guillaume Bouleux, Eric Marcon, Aymeric Cantais, Sylvie Pillet, Olivier Mory
2018 2018 IEEE 14th International Conference on Automation Science and Engineering (CASE)  
To achieve this, clustering algorithms are applied on time evolving diagnosis in the adult ED of Saint-Etienne and benchmarked regarding a time series of laboratory-confirmed influenza data.  ...  For both K-Means and Hierarchical algorithms, the cluster containing the laboratory-confirmed series is composed of ICD-10 codes representing respiratory diseases and diseases linked with cardiac disorders  ...  A. Viallon, University Hospital of Saint Etienne and head of the adult emergency department for having authorized the processing of the data.  ... 
doi:10.1109/coase.2018.8560585 dblp:conf/case/SolerBMCPM18 fatcat:zb4o6sfc6ndfbfn653icicxfqi

Nonparametric Estimation of a distribution function from doubly truncated data under dependence [article]

Carla Moreira, Jacobo de Uña-Álvarez, Roel Braekers
2021 arXiv   pre-print
The NPMLE of a distribution function from doubly truncated data was introduced in the seminal paper of Efron and Petrosian.  ...  The proposed estimator is constructed on the basis of a copula function which represents the dependence structure between the variable of interest and the truncation variables.  ...  a test for independence based on a Kendall's Tau in this setting.  ... 
arXiv:1802.08579v3 fatcat:ptwbxwvskzenho4yun2g4wek3a

Optimized Dynamic Mode Decomposition via Non-Convex Regularization and Multiscale Permutation Entropy

Zhang Dang, Yong Lv, Yourong Li, Cancan Yi
2018 Entropy  
the selection strategy of truncated rank order and wanted mode components.  ...  A novel denoising and feature extraction algorithm for multi-component coupled noisy mechanical signals is proposed based on the standard DMD algorithm, which provides a new method solving the two intractable  ...  Cancan Yi was responsible for the experimental design and data analysis. All authors have read and approved the final manuscript. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/e20030152 pmid:33265242 fatcat:e3y75ebvqrflbpzgegrdjrvkom

Estimating Full IM240 Emissions from Partial Test Results: Evidence from Arizona

Amy W. Ando, Winston Harrington, Virginia McConnell
1999 Journal of the Air and Waste Management Association  
Using a probit analysis, we find that the probability that a failing vehicle will passing the test on the first retest is greater the longer the test has progressed.  ...  This paper presents a methodology for estimating full 240 second results from partial-test results for three pollutants: HC, CO and NOx.  ...  However, a more conclusive test would be the reverse of our procedure: begin with a sample of complete tests and use the algorithm to simulate fast-pass and fast-fail results.  ... 
doi:10.1080/10473289.1999.10463910 pmid:28060669 fatcat:tukiqyvzivdsboyqyrqa2ylvmu

Spectrum Enhanced Fault Localization with Artificial Intelligence Paradigm for Software Diagnosis

P. Merlin
2019 International Journal for Research in Applied Science and Engineering Technology  
Once a test fails, a modelbased diagnosis (MBD) technique was utilized to propose a group of possible explanations and it was called diagnoses.  ...  A planning technique was used to suggest further tests for discovering the correct diagnosis.  ...  This approach is independent of test case ordering. H.  ... 
doi:10.22214/ijraset.2019.1036 fatcat:llekbzr5ivfydl7s76td4dpoqe

Could Patient Self-reported Health Data Complement EHR for Phenotyping?

Daniel Fort, Adam B Wilcox, Chunhua Weng
2014 AMIA Annual Symposium Proceedings  
About 87% of the patients with self-reported diabetes had at least one ICD-9 code, one medication, or one lab result supporting a DM2 diagnosis, implying the remaining 13% may have missing or incorrect  ...  Electronic health records (EHRs) have been used as a valuable data source for phenotyping. However, this method suffers from inherent data quality issues like data missingness.  ...  Control Medication Number of medication orders meeting the control algorithm exclusion criteria. Glucose Tests Number of glucose test values recorded for the patient.  ... 
pmid:25954446 pmcid:PMC4419899 fatcat:aq2wrshaane6xb7kusg4eukhem

Tractable and Reliable Registration of 2D Point Sets [chapter]

Erik Ask, Olof Enqvist, Linus Svärm, Fredrik Kahl, Giuseppe Lippolis
2014 Lecture Notes in Computer Science  
We have tested the methods in several different settings, in particular, a thorough evaluation on two benchmarks of microscopic images used for histologic analysis of prostate cancer has been performed  ...  This paper introduces two new methods of registering 2D point sets over rigid transformations when the registration error is based on a robust loss function.  ...  The most closely related work to ours is [10, 1] , where a truncated L 2 -norm algorithm is derived with complexity O(n 4 ).  ... 
doi:10.1007/978-3-319-10590-1_26 fatcat:nyvkdwedebdqfkckkd3mgwntku

DNA Testing for Live Kidney Donors at Risk for Autosomal Dominant Polycystic Kidney Disease

Edmund Huang, Millie Samaniego-Picota, Thomas McCune, Joseph K. Melancon, Robert A. Montgomery, Richard Ugarte, Edward Kraus, Karl Womer, Hamid Rabb, Terry Watnick
2009 Transplantation  
In this article, we report a strategy that incorporates genetic testing in the evaluation of live kidney donors at risk for ADPKD whose disease status cannot be established with certainty on the basis  ...  Radiographic imaging may be adequate to screen for kidney cysts in most at-risk donors but may fail to identify affected individuals younger than 40 years or older individuals from families with mild disease  ...  In order to address the question of how many cysts are sufficient to establish a diagnosis of ADPKD, Ravine et al. compared ultrasound imaging with genetic information in individuals at risk of inheriting  ... 
doi:10.1097/tp.0b013e318191e729 pmid:19136903 pmcid:PMC2841023 fatcat:np2mbugbw5ennaxrwejws2jxhe
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