Search results for "59"

showing 10 items of 1607 documents

Supp_figure_3_inkscape_png_jpg – Supplemental material for Structural brain network fingerprints of focal dystonia

2019

Supplemental material, Supp_figure_3_inkscape_png_jpg for Structural brain network fingerprints of focal dystonia by Venkata C. Chirumamilla, Christian Dresel, Nabin Koirala, Gabriel Gonzalez-Escamilla, Günther Deuschl, Kirsten E. Zeuner, Muthuraman Muthuraman and Sergiu Groppa in Therapeutic Advances in Neurological Disorders

FOS: Clinical medicine111599 Pharmacology and Pharmaceutical Sciences not elsewhere classified110904 Neurology and Neuromuscular Diseases
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Supplemental material for Quantitative and qualitative control of antineoplastic preparations: Gravimetry versus HPLC

2019

Supplemental Material for Quantitative and qualitative control of antineoplastic preparations: Gravimetry versus HPLC by Ana Sendra-García, M Amparo Martínez-Gómez, Asunción Albert-Marí, N Victor Jiménez-Torres and Mónica Climente-Martí in Journal of Oncology Pharmacy Practice

FOS: Clinical medicine111599 Pharmacology and Pharmaceutical Sciences not elsewhere classified111299 Oncology and Carcinogenesis not elsewhere classified
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sj-pdf-1-opp-10.1177_1078155220915763 - Supplemental material for Clinical and economic impact of pharmacist interventions in an ambulatory hematolog…

2020

Supplemental material, sj-pdf-1-opp-10.1177_1078155220915763 for Clinical and economic impact of pharmacist interventions in an ambulatory hematology–oncology department by Jonathan de Grégori, Pauline Pistre, Meredith Boutet, Laura Porcher, Madeline Devaux, Corinne Pernot, Marie L Chrétien, Cédric Rossi, Sylvain Manfredi, Sophie Dalac, Pauline Gueneau and Mathieu Boulin in Journal of Oncology Pharmacy Practice

FOS: Clinical medicine111599 Pharmacology and Pharmaceutical Sciences not elsewhere classified111299 Oncology and Carcinogenesis not elsewhere classified
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sj-docx-1-tan-10.1177_17562864211051497 – Supplemental material for Association of serum neurofilament light chain levels and neuropsychiatric manife…

2021

Supplemental material, sj-docx-1-tan-10.1177_17562864211051497 for Association of serum neurofilament light chain levels and neuropsychiatric manifestations in systemic lupus erythematosus by Sinah Engel, Simone Boedecker, Paul Marczynski, Stefan Bittner, Falk Steffen, Arndt Weinmann, Andreas Schwarting, Frauke Zipp, Julia Weinmann-Menke and Felix Luessi in Therapeutic Advances in Neurological Disorders

FOS: Clinical medicineskin and connective tissue diseases111599 Pharmacology and Pharmaceutical Sciences not elsewhere classified110904 Neurology and Neuromuscular Diseases
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sj-docx-1-tan-10.1177_17562864211051497 – Supplemental material for Association of serum neurofilament light chain levels and neuropsychiatric manife…

2021

Supplemental material, sj-docx-1-tan-10.1177_17562864211051497 for Association of serum neurofilament light chain levels and neuropsychiatric manifestations in systemic lupus erythematosus by Sinah Engel, Simone Boedecker, Paul Marczynski, Stefan Bittner, Falk Steffen, Arndt Weinmann, Andreas Schwarting, Frauke Zipp, Julia Weinmann-Menke and Felix Luessi in Therapeutic Advances in Neurological Disorders

FOS: Clinical medicineskin and connective tissue diseases111599 Pharmacology and Pharmaceutical Sciences not elsewhere classified110904 Neurology and Neuromuscular Diseases
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Using the Tsetlin Machine to Learn Human-Interpretable Rules for High-Accuracy Text Categorization With Medical Applications

2019

Medical applications challenge today's text categorization techniques by demanding both high accuracy and ease-of-interpretation. Although deep learning has provided a leap ahead in accuracy, this leap comes at the sacrifice of interpretability. To address this accuracy-interpretability challenge, we here introduce, for the first time, a text categorization approach that leverages the recently introduced Tsetlin Machine. In all brevity, we represent the terms of a text as propositional variables. From these, we capture categories using simple propositional formulae, such as: if "rash" and "reaction" and "penicillin" then Allergy. The Tsetlin Machine learns these formulae from a labelled tex…

FOS: Computer and information sciencesComputer Science - Machine LearningGeneral Computer ScienceComputer sciencetext categorizationNatural language understandingDecision treeMachine Learning (stat.ML)02 engineering and technologyVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550::Annen informasjonsteknologi: 559Machine learningcomputer.software_genresupervised learningMachine Learning (cs.LG)Naive Bayes classifierText miningStatistics - Machine Learning0202 electrical engineering electronic engineering information engineeringGeneral Materials ScienceTsetlin machinehealth informaticsInterpretabilityPropositional variableClassification algorithmsArtificial neural networkbusiness.industryDeep learning020208 electrical & electronic engineeringGeneral EngineeringRandom forestSupport vector machinemachine learningCategorization020201 artificial intelligence & image processingArtificial intelligencelcsh:Electrical engineering. Electronics. Nuclear engineeringbusinessPrecision and recallcomputerlcsh:TK1-9971
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Biometric Fish Classification of Temperate Species Using Convolutional Neural Network with Squeeze-and-Excitation

2019

Our understanding and ability to effectively monitor and manage coastal ecosystems are severely limited by observation methods. Automatic recognition of species in natural environment is a promising tool which would revolutionize video and image analysis for a wide range of applications in marine ecology. However, classifying fish from images captured by underwater cameras is in general very challenging due to noise and illumination variations in water. Previous classification methods in the literature relies on filtering the images to separate the fish from the background or sharpening the images by removing background noise. This pre-filtering process may negatively impact the classificat…

FOS: Computer and information sciencesComputer Vision and Pattern Recognition (cs.CV)Computer Science - Computer Vision and Pattern RecognitionVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550::Annen informasjonsteknologi: 559
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sj-pdf-1-cep-10.1177_0333102420928076 - Supplemental material for Determination of psychosocial factors in cluster headache – construction and psycho…

2020

Supplemental material, sj-pdf-1-cep-10.1177_0333102420928076 for Determination of psychosocial factors in cluster headache – construction and psychometric properties of the Cluster Headache Scales (CHS) by Timo Klan, Anne-Kathrin Bräscher, Annabella Vales, Eva Liesering-Latta, Michael Witthöft and Charly Gaul in Cephalalgia

FOS: PsychologyFOS: Clinical medicine170199 Psychology not elsewhere classified110319 Psychiatry (incl. Psychotherapy)110306 Endocrinology111599 Pharmacology and Pharmaceutical Sciences not elsewhere classified110904 Neurology and Neuromuscular DiseasesNeuroscience
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sj-pdf-2-cep-10.1177_0333102420928076 - Supplemental material for Determination of psychosocial factors in cluster headache – construction and psycho…

2020

Supplemental material, sj-pdf-2-cep-10.1177_0333102420928076 for Determination of psychosocial factors in cluster headache – construction and psychometric properties of the Cluster Headache Scales (CHS) by Timo Klan, Anne-Kathrin Bräscher, Annabella Vales, Eva Liesering-Latta, Michael Witthöft and Charly Gaul in Cephalalgia

FOS: PsychologyFOS: Clinical medicine170199 Psychology not elsewhere classified110319 Psychiatry (incl. Psychotherapy)110306 Endocrinology111599 Pharmacology and Pharmaceutical Sciences not elsewhere classified110904 Neurology and Neuromuscular DiseasesNeuroscience
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sj-pdf-2-cep-10.1177_0333102420928076 - Supplemental material for Determination of psychosocial factors in cluster headache – construction and psycho…

2020

Supplemental material, sj-pdf-2-cep-10.1177_0333102420928076 for Determination of psychosocial factors in cluster headache – construction and psychometric properties of the Cluster Headache Scales (CHS) by Timo Klan, Anne-Kathrin Bräscher, Annabella Vales, Eva Liesering-Latta, Michael Witthöft and Charly Gaul in Cephalalgia

FOS: PsychologyFOS: Clinical medicine170199 Psychology not elsewhere classified110319 Psychiatry (incl. Psychotherapy)110306 Endocrinology111599 Pharmacology and Pharmaceutical Sciences not elsewhere classified110904 Neurology and Neuromuscular DiseasesNeuroscience
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