Enhancing ontology-driven diagnostic reasoning with a symptom-dependency-aware Naïve Bayes classifier

[1]  Min Yang,et al.  Path-based Attribute-aware Representation Learning for Relation Prediction , 2019, SDM.

[2]  Min Yang,et al.  An in-depth study of similarity predicate committee , 2019, Inf. Process. Manag..

[3]  Nagiza F. Samatova,et al.  Learning Entity Type Embeddings for Knowledge Graph Completion , 2017, CIKM.

[4]  Jean-Baptiste Lamy,et al.  Owlready: Ontology-oriented programming in Python with automatic classification and high level constructs for biomedical ontologies , 2017, Artif. Intell. Medicine.

[5]  Olivier Ferret,et al.  Neural Architecture for Temporal Relation Extraction: A Bi-LSTM Approach for Detecting Narrative Containers , 2017, ACL.

[6]  Chao Zhao,et al.  Learning and inference in knowledge-based probabilistic model for medical diagnosis , 2017, Knowl. Based Syst..

[7]  Heiner Stuckenschmidt,et al.  Marrying Uncertainty and Time in Knowledge Graphs , 2017, AAAI.

[8]  Hong Yu,et al.  Bidirectional RNN for Medical Event Detection in Electronic Health Records , 2016, NAACL.

[9]  Cheng Li,et al.  Hierarchical Bayesian nonparametric models for knowledge discovery from electronic medical records , 2016, Knowl. Based Syst..

[10]  Joshua C. Denny,et al.  Automated Classification of Consumer Health Information Needs in Patient Portal Messages , 2015, AMIA.

[11]  E. Burnside,et al.  Development of an online, publicly accessible naive Bayesian decision support tool for mammographic mass lesions based on the American College of Radiology (ACR) BI-RADS lexicon , 2015, European Radiology.

[12]  L. Bisson,et al.  Accuracy of a Computer-Based Diagnostic Program for Ambulatory Patients With Knee Pain , 2014, The American journal of sports medicine.

[13]  Chengqi Zhang,et al.  Attribute weighting: How and when does it work for Bayesian Network Classification , 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

[14]  A. Barabasi,et al.  Human symptoms–disease network , 2014, Nature Communications.

[15]  Cui Tao,et al.  Comprehensive temporal information detection from clinical text: medical events, time, and TLINK identification , 2013, J. Am. Medical Informatics Assoc..

[16]  Nick Bassiliades,et al.  Ontology-based sentiment analysis of twitter posts , 2013, Expert Syst. Appl..

[17]  Rodney D. Nielsen,et al.  Towards comprehensive syntactic and semantic annotations of the clinical narrative , 2013, J. Am. Medical Informatics Assoc..

[18]  Cynthia Brandt,et al.  Knowledge-Based Biomedical Word Sense Disambiguation: An Evaluation and Application to Clinical Document Classification , 2012, 2012 IEEE Second International Conference on Healthcare Informatics, Imaging and Systems Biology.

[19]  George Hripcsak,et al.  Next-generation phenotyping of electronic health records , 2012, J. Am. Medical Informatics Assoc..

[20]  Shuying Shen,et al.  Automated extraction of ejection fraction for quality measurement using regular expressions in Unstructured Information Management Architecture (UIMA) for heart failure , 2012, J. Am. Medical Informatics Assoc..

[21]  Oussama El-Rawas,et al.  Machine learning-based coreference resolution of concepts in clinical documents , 2012, J. Am. Medical Informatics Assoc..

[22]  Naveen Kumar Korada Implementation of Naive Bayesian Classifier and Ada-Boost Algorithm Using Maize Expert System , 2012 .

[23]  S. Brunak,et al.  Mining electronic health records: towards better research applications and clinical care , 2012, Nature Reviews Genetics.

[24]  Liangxiao Jiang,et al.  Improving Tree augmented Naive Bayes for class probability estimation , 2012, Knowl. Based Syst..

[25]  Gang Feng,et al.  Disease Ontology: a backbone for disease semantic integration , 2011, Nucleic Acids Res..

[26]  David W. Bates,et al.  A method and knowledge base for automated inference of patient problems from structured data in an electronic medical record , 2011, J. Am. Medical Informatics Assoc..

[27]  Min Li,et al.  A knowledge discovery and reuse pipeline for information extraction in clinical notes , 2011, J. Am. Medical Informatics Assoc..

[28]  S. K. Srivatsa,et al.  Diagnosis of Heart Disease for Diabetic Patients using Naive Bayes Method , 2011 .

[29]  Peter N. Robinson,et al.  Introduction to Bio-Ontologies , 2011 .

[30]  Gerhard Weikum,et al.  YAGO2: exploring and querying world knowledge in time, space, context, and many languages , 2011, WWW.

[31]  Xiaoxin Yin,et al.  Semi-supervised truth discovery , 2011, WWW.

[32]  Ni Lao,et al.  Relational retrieval using a combination of path-constrained random walks , 2010, Machine Learning.

[33]  Hyunki Kim,et al.  Associative Naïve Bayes classifier: Automated linking of gene ontology to medline documents , 2009, Pattern Recognit..

[34]  Albert-László Barabási,et al.  A Dynamic Network Approach for the Study of Human Phenotypes , 2009, PLoS Comput. Biol..

[35]  Yi-Hsing Chang,et al.  An Automatic Document Classifier System based on Naíve Bayes Classifier and Ontology , 2008, 2008 International Conference on Machine Learning and Cybernetics.

[36]  J. Kazmierska,et al.  Application of the Naïve Bayesian Classifier to optimize treatment decisions. , 2008, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

[37]  Hyoil Han,et al.  A survey on ontology mapping , 2006, SGMD.

[38]  Alan L. Rector,et al.  Web ontology segmentation: analysis, classification and use , 2006, WWW '06.

[39]  P. Bossuyt,et al.  The diagnostic odds ratio: a single indicator of test performance. , 2003, Journal of clinical epidemiology.

[40]  R. Haynes,et al.  Effects of Computer-based Clinical Decision Support Systems on Clinician Performance and Patient Outcome: A Critical Appraisal of Research , 1994, Annals of Internal Medicine.

[41]  Thomas R. Gruber,et al.  A translation approach to portable ontology specifications , 1993 .

[42]  John R. Anderson,et al.  MACHINE LEARNING An Artificial Intelligence Approach , 2009 .

[43]  Wen Chen Beijing, China , 2019, The Statesman’s Yearbook Companion.

[44]  S. Edberg Global Infectious Diseases and Epidemiology Network (GIDEON): a world wide Web-based program for diagnosis and informatics in infectious diseases. , 2005, Clinical infectious diseases : an official publication of the Infectious Diseases Society of America.

[45]  Hilde van der Togt,et al.  Publisher's Note , 2003, J. Netw. Comput. Appl..

[46]  J. Wyatt Decision support systems. , 2000, Journal of the Royal Society of Medicine.