scholarly journals Investigating Feature Selection and Random Forests for Inter-patient Heartbeat Classification

2020 ◽  
Author(s):  
Jose Francisco Saenz-Cogollo ◽  
Maurizio Agelli
Keyword(s):  
Classification Systems ◽  
Filter Method ◽  
Qrs Complex ◽  
Training Set ◽  
Heartbeat Classification ◽  
Ectopic Beats ◽  
Small Feature ◽  
Selection Of ◽  
Constrained Devices

Finding an optimal combination of features and classifier is still an open problem in the development of automatic heartbeat classification systems, especially when applications that involve resource-constrained devices are considered. In this paper, a novel study of the selection of informative features and the use of a random forest classifier while following the recommendations of the Association for the Advancement of Medical Instrumentation (AAMI) and an inter-patient division of datasets is presented. Features were selected using a filter method based on the mutual information ranking criterion on the training set. Results showed that normalized R-R intervals and features relative to the width of the QRS complex are the most discriminative among those considered. The best results achieved on the MIT-BIH Arrhythmia Database were an overall accuracy of 96.14% and F1-scores of 97.97%, 73.06%, and 90.85% in the classification of normal beats, supraventricular ectopic beats, and ventricular ectopic beats respectively. In comparison with other state of the art approaches tested under similar constraints, this work represents one of the highest performances reported to date while relying on a very small feature vector.

scholarly journals Investigating Feature Selection and Random Forests for Inter-Patient Heartbeat Classification

Algorithms ◽  
2020 ◽  
Vol 13 (4) ◽  
pp. 75
Author(s):  
Jose Francisco Saenz-Cogollo ◽  
Maurizio Agelli
Keyword(s):  
Classification Systems ◽  
Filter Method ◽  
Training Set ◽  
Heartbeat Classification ◽  
Ectopic Beats ◽  
Small Feature ◽  
Ventricular Depolarization ◽  
Selection Of ◽  
Constrained Devices

Finding an optimal combination of features and classifier is still an open problem in the development of automatic heartbeat classification systems, especially when applications that involve resource-constrained devices are considered. In this paper, a novel study of the selection of informative features and the use of a random forest classifier while following the recommendations of the Association for the Advancement of Medical Instrumentation (AAMI) and an inter-patient division of datasets is presented. Features were selected using a filter method based on the mutual information ranking criterion on the training set. Results showed that normalized beat-to-beat (R–R) intervals and features relative to the width of the ventricular depolarization waves (QRS complex) are the most discriminative among those considered. The best results achieved on the MIT-BIH Arrhythmia Database were an overall accuracy of 96.14% and F1-scores of 97.97%, 73.06%, and 90.85% in the classification of normal beats, supraventricular ectopic beats, and ventricular ectopic beats, respectively. In comparison with other state-of-the-art approaches tested under similar constraints, this work represents one of the highest performances reported to date while relying on a very small feature vector.

scholarly journals IMPORTANCE OF CLASSICAL MORPHOLOGY IN THE DIAGNOSIS OF MYELODYSPLASTIC SYNDROME

2015 ◽  
Vol 7 ◽  
pp. e2015035 ◽  
Author(s):  
Rosangela Invernizzi ◽  
Federica Quaglia ◽  
Matteo Giovanni Della Porta
Keyword(s):  
Molecular Techniques ◽  
Classification Systems ◽  
World Health ◽  
Hematopoietic Stem ◽  
Morphological Alterations ◽  
Diagnosis And Classification ◽  
The Moment ◽  
Health Organization ◽  
Selection Of

Myelodysplastic syndromes (MDS) are hematopoietic stem cell disorders characterized by dysplastic, ineffective, clonal and neoplastic hematopoiesis. MDS represent a complex hematological problem: differences in disease presentation, progression and outcome  have necessitated the use of classification systems to improve diagnosis, prognostication and treatment selection. However, since a single biological or genetic reliable diagnostic marker has not yet been discovered for MDS, quantitative and qualitative dysplastic morphological alterations of bone marrow precursors and of peripheral blood cells are still fundamental for diagnostic classification. In this paper World Health Organization (WHO) classification refinements and current minimal diagnostic criteria proposed by expert panels are highlighted and related problematic issues are discussed. The recommendations should facilitate diagnostic and prognostic evaluations in MDS and selection of patients for new effective targeted therapies. Although in the future morphology should be supplemented with new molecular techniques, the morphological approach, at least for the moment, is still the cornerstone for the diagnosis and classification of these disorders.

Classification of diabetes. World Health Organization 2019. What’s new?

2020 ◽  
Vol 23 (4) ◽  
pp. 329-339
Author(s):  
Irina V. Kononenko ◽  
Olga M. Smirnova ◽  
Aleksandr Y. Mayorov ◽  
Marina V. Shestakova
Keyword(s):  
Molecular Genetic ◽  
Classification Systems ◽  
World Health ◽  
Β Cells ◽  
Appropriate Treatment ◽  
Practical Guidance ◽  
Health Organization ◽  
Selection Of ◽  
Hybrid Forms

The review focuses on the new WHO classification published in 2019. Unlike the previous classification, this classification does not recognize subtypes of T1DM and T2DM and offers new types of diabetes: “hybrid types of diabetes” and “unclassified diabetes”. This classification provides practical guidance to clinicians for assigning a type of diabetes to individuals and choose appropriate treatment (whether or not to start treatment with insulin), particularly at the time of diagnosis. This review presents the variety of forms of diabetes, the features of their clinical picture, and also emphasizes the importance of molecular genetic and immunological studies to identify types of diabetes and determine personalized therapy. The selection of “hybrid forms” of diabetes is due to the fact that the treatment of these types of diabetes has its own characteristics associated with the specific pathogenesis of diseases. However, it is obvious that further studies should relate to the study of the mechanisms of damage and decrease in the function of в-cells. Perhaps future classification systems and, as a consequence, personalized treatment will focus on various mechanisms of damage to β-cells.

New Materials Applied for the Stationary Phases in View of the Optimized HPLC and UHPLC Column Classification System Used in the Pharmaceutical Analysis

2015 ◽  
Vol 1120-1121 ◽  
pp. 1404-1412
Author(s):  
Alina Plenis ◽  
Tomasz Bączek ◽  
Jarosław Szulfer ◽  
Michał Markuszewski
Keyword(s):  
Stationary Phases ◽  
Physicochemical Characteristics ◽  
Classification Systems ◽  
The Novel ◽  
Method Transfer ◽  
Column Material ◽  
The Individual ◽  
The Given ◽  
Selection Of

Pharmacopoeial monographs define usually requirements for the use of the particular chromatographic packing materials in a very general way. Even if a selection of particular chromatographic column packed with the defined material is suggested, it appears often that column is currently not present in the laboratory, or is no longer commercially available. With respect to those facts, there are needs to replace the given column material for another one, however with the similar physicochemical characteristics. This can be achieved by using one of the classification systems of columns’ material (e.g., the procedure developed by the researchers at the Katholieke Universiteit Leuven – and therefore called tentatively by us as KUL procedure).In the first stage of the work, it has been proven that the results obtained by KUL procedure can be related to results obtained during chemometrics verification of the suitability of selected stationary phases’ material used in the individual columns for purity test of alfuzosin as pharmaceutical substance and their impurities and related compounds. The next step was to adapt KUL procedure to allow the classification of modern and new UHPLC and Core-Shell (CS) columns’ material characterized by the novel physicochemical properties. Together, properties of 61 columns packed with variable materials have been characterized. The last step comprised the data collection to examine the possibilities to use UHPLC and CS columns materials as equivalent ones to the classical HPLC columns’ materials in view of the method transfer for the previously mentioned assay for alfuzosin.

Use of photodynamic therapy for photodamage skin (review of literature)

2019 ◽  
Vol 1 (7) ◽  
pp. 19-23
Author(s):  
S. I. Surkichin ◽  
N. V. Gryazeva ◽  
L. S. Kholupova ◽  
N. V. Bochkova
Keyword(s):  
Photodynamic Therapy ◽  
Comparative Evaluation ◽  
Clinical Manifestations ◽  
Light Sources ◽  
Review Of Literature ◽  
Photosensitizing Agents ◽  
Selection Of

The article provides an overview of the use of photodynamic therapy for photodamage of the skin. The causes, pathogenesis and clinical manifestations of skin photodamage are considered. The definition, principle of action of photodynamic therapy, including the sources of light used, the classification of photosensitizers and their main characteristics are given. Analyzed studies that show the effectiveness and comparative evaluation in the selection of various light sources and photosensitizing agents for photodynamic therapy in patients with clinical manifestations of photodamage.

Philosophcal review of h. white̕s tropological theory in the context of the new philosophy of history

2020 ◽  
Vol 3 (152) ◽  
pp. 92-99
Author(s):  
S. M. Geiko ◽  
◽  
O. D. Lauta
Keyword(s):  
Modern Science ◽  
Historical Knowledge ◽  
Text Organization ◽  
The Social ◽  
History Of ◽  
Actual Material ◽  
The Common ◽  
Historical Nature ◽  
Selection Of

The article provides a philosophical analysis of the tropological theory of the history of H. White. The researcher claims that history is a specific kind of literature, and the historical works is the connection of a certain set of research and narrative operations. The first type of operation answers the question of why the event happened this way and not the other. The second operation is the social description, the narrative of events, the intellectual act of organizing the actual material. According to H. White, this is where the set of ideas and preferences of the researcher begin to work, mainly of a literary and historical nature. Explanations are the main mechanism that becomes the common thread of the narrative. The are implemented through using plot (romantic, satire, comic and tragic) and trope systems – the main stylistic forms of text organization (metaphor, metonymy, synecdoche, irony). The latter decisively influenced for result of the work historians. Historiographical style follows the tropological model, the selection of which is determined by the historian’s individual language practice. When the choice is made, the imagination is ready to create a narrative. Therefore, the historical understanding, according to H. White, can only be tropological. H. White proposes a new methodology for historical research. During the discourse, adequate speech is created to analyze historical phenomena, which the philosopher defines as prefigurative tropological movement. This is how history is revealed through the art of anthropology. Thus, H. White’s tropical history theory offers modern science f meaningful and metatheoretically significant. The structure of concepts on which the classification of historiographical styles can be based and the predictive function of philosophy regarding historical knowledge can be refined.

Using clusterization principles for the selection of repair sections of main oil pipelines based on diagnostic data

2011 ◽  
Vol 8 (1) ◽  
pp. 201-210
Author(s):  
R.M. Bogdanov
Keyword(s):  
Cluster Analysis ◽  
Defect Density ◽  
Density Variation ◽  
Distance Functions ◽  
Oil Pipeline ◽  
Oil Pipelines ◽  
Classification Of Images ◽  
Main Oil Pipeline ◽  
Selection Of

The problem of determining the repair sections of the main oil pipeline is solved, basing on the classification of images using distance functions and the clustering principle, The criteria characterizing the cluster are determined by certain given values, based on a comparison with which the defect is assigned to a given cluster, procedures for the redistribution of defects in cluster zones are provided, and the cluster zones parameters are being changed. Calculations are demonstrating the range of defect density variation depending on pipeline sections and the universal capabilities of linear objects configuration with arbitrary density, provided by cluster analysis.

scholarly journals Classification of Post-Fire Responses of Woody Plants to include Pyrophobic Communities

Fire ◽  
2020 ◽  
Vol 3 (2) ◽  
pp. 15 ◽  
Author(s):  
Lynda D. Prior ◽  
David M. J. S. Bowman
Keyword(s):  
Woody Plants ◽  
Seed Banks ◽  
Classification Systems ◽  
Woody Vegetation ◽  
General Category ◽  
Conifer Species ◽  
Soil Seed Banks ◽  
Obligate Seeder ◽  
In Fire

Developing standardised classification of post-fire responses is essential for globally consistent comparisons of woody vegetation communities. Existing classification systems are based on responses of species growing in fire-prone environments. To accommodate species that occur in rarely burnt environments, we have suggested some important points of clarification to earlier schemes categorizing post-fire responses. We have illustrated this approach using several Australasian conifer species as examples of pyrophobic species. In particular, we suggest using the term “obligate seeder” for the general category of plants that rely on seed to reproduce, and qualifying this to “post-fire obligate seeder” for the narrower category of species with populations that recover from canopy fire only by seeding; the species are typically fire-cued, with large aerial or soil seed banks that germinate profusely following a fire, and grow and reproduce rapidly in order to renew the seed bank before the next fire.

Negative Staining: a Valuable Technique for Studying Subcellular Components

1997 ◽  
Vol 3 (S2) ◽  
pp. 341-342
Author(s):  
Sara E. Miller
Keyword(s):  
Negative Staining ◽  
Cell Organelles ◽  
Preparation Time ◽  
Nucleic Acid Probes ◽  
Virus Identification ◽  
High Particle ◽  
Thin Sectioning ◽  
Particle Counts ◽  
Selection Of

Negative staining is the most frequently used procedure for preparing particulate specimens, e.g., cell organelles, macromolecules, and viruses, for electron microscopy (Figs. 1-4). The main advantage is that it is rapid, requiring only minutes of preparation time. Another is that it avoids some of the harsh chemicals, e.g., organic solvents, used in thin sectioning. Also, it does not require advanced technical skill. It is widely used in virology, both in classification of viruses as well as diagnosis of viral diseases. Notwithstanding the necessity for fairly high particle counts, virus identification by negative staining is advantageous in not requiring specific reagents such as antibodies, nucleic acid probes, or protein standards which necessitate prior knowledge of potential pathogens for selection of the proper reagent. Furthermore, it does not require viable virions as does growth in tissue culture. Another procedure that uses negative contrasting is ultrathin cryosectioning (Fig. 5).In 1954 Farrant was the first to publish negatively stained material, ferritin particles.

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