dekker michel (21 risultati)

Fine as New. See contents page in photos clphe (IF).

Condizione: Assez bon. Nos envois se font avec suivi, pour tout problème n'hésitez pas à nous contacter pour trouver une solution.

Photos hors texte. T. N. P. Broché. 77 pages. Rousseurs.

Condizione: Fine. 1959. 150 pages. Fine.

Condizione: new.

Hardcover. Condizione: new. Hardcover. This open access book comprehensively covers the fundamentals of clinical data science, focusing on data collection, modelling and clinical applications. Topics covered in the first section on data collection include: data sources, data at scale (big data), data stewardship (FAIR data) and related privacy concerns. Aspects of predictive modelling using techniques such as classification, regression or clustering, and prediction model validation will be covered in the second section. The third section covers aspects of (mobile) clinical decision support systems, operational excellence and value-based healthcare.Fundamentals of Clinical Data Science is an essential resource for healthcare professionals and IT consultants intending to develop and refine their skills in personalized medicine, using solutions based on large datasets from electronic health records or telemonitoring programmes. The books promise is no math, no codeand will explain the topics in a style that is optimized for a healthcare audience. This open access book comprehensively covers the fundamentals of clinical data science, focusing on data collection, modelling and clinical applications. Topics covered in the first section on data collection include: data sources, data at scale (big data), data stewardship (FAIR data) and related privacy concerns. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Broché. Condizione: Etat moyen. in-8 carré Description :76 pp. Collection du Répertoire. Couverture défraîchie, tachée sur 1er plat et dos. Langue : Français Nb de volumes : 1.

Hardcover. Condizione: Brand New. 219 pages. 9.25x6.25x0.75 inches. In Stock.

Hardcover. Condizione: Very Good. 1. Auflage. Unread, with some shelfwear. Immediately dispatched from Germany.

Condizione: new.

Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This open access book comprehensively covers the fundamentals of clinical data science, focusing on data collection, modelling and clinical applications. Topics covered in the first section on data collection include: data sources, data at scale (big data), data stewardship (FAIR data) and related privacy concerns. Aspects of predictive modelling using techniques such as classification, regression or clustering, and prediction model validation will be covered in the second section. The third section covers aspects of (mobile) clinical decision support systems, operational excellence and value-based healthcare.Fundamentals of Clinical Data Scienceis an essential resource for healthcare professionals and IT consultants intending to develop and refine their skills in personalized medicine, using solutions based on large datasets from electronic health records or telemonitoring programmes. The book's promise is 'no math, no code'and will explain the topics in a style that is optimized for a healthcare audience.

Hardcover. Condizione: new. Hardcover. This open access book comprehensively covers the fundamentals of clinical data science, focusing on data collection, modelling and clinical applications. Topics covered in the first section on data collection include: data sources, data at scale (big data), data stewardship (FAIR data) and related privacy concerns. Aspects of predictive modelling using techniques such as classification, regression or clustering, and prediction model validation will be covered in the second section. The third section covers aspects of (mobile) clinical decision support systems, operational excellence and value-based healthcare.Fundamentals of Clinical Data Science is an essential resource for healthcare professionals and IT consultants intending to develop and refine their skills in personalized medicine, using solutions based on large datasets from electronic health records or telemonitoring programmes. The books promise is no math, no codeand will explain the topics in a style that is optimized for a healthcare audience. This open access book comprehensively covers the fundamentals of clinical data science, focusing on data collection, modelling and clinical applications. Topics covered in the first section on data collection include: data sources, data at scale (big data), data stewardship (FAIR data) and related privacy concerns. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Couverture souple. Condizione: bon. RO80011697: 1959. In-12. Broché. Bon état, Couv. légèrement passée, Dos satisfaisant, Intérieur frais. 76 pages. . . . Classification Dewey : 840-Littératures des langues romanes. Littérature française.

Paperback. Condizione: Brand New. 102 pages. 11.00x8.00x0.23 inches. In Stock.

Condizione: Near Fine. 448 x 294 mm. 12pp. Printed black on white newsprint. Subtitled 'Fandangos The First European Art Newspaper'. Title concept by Klaus Groh. Contributors include Peter Hutchinson, Nikolaus Urban, Janos Urban, E. Buchwalder, John M. Armleder, Yoshia Nakajima, Carlo Giovanni Cicatelli, Anna Banana, H. B Reeskamp, F. Pezolo, Michael Gibbs, Marjo Schumans, Rod Summers, Raul Marroquin, Filip Francis, Michael Druks, Ruedi Schill, W. Vazan, Robin Crozier, Anton Verhoeven, H. Dekker, K. Benning, H. B Walker, W. Cuvelier, Groupe Cap, L Coppers, John Liggins, L. Walz, Michel Cardena, Johan Van Geluwe, Maurizio Nanucci, Hans Werneg Kalkmann, Massimo Nannucci, Allen Fisher and others. A Complete set of Fandangos is available on request.

Condizione: Good. Exhibition postcards bound into a booklet from Groningen Museum. Unsigned. Printed black on white card.104x148mm. Participants include: Colen Fitzgibbon & Robin Winters, Carolee Schneemann, Yvonne Rainer, Michael Snow, Dekker, Michel Waisvisz, David Salle, Jack Goldstein, Nan Hoover, Barbara Bloom, Vito Acconci, Charlemagne Palestine. Condition: binding tape discoloured, spotting to cover, and edges of come pages, ding to bottom right corner of cover, general wear to edges, overall: Good.

Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This open access book comprehensively covers the fundamentals of clinical data science, focusing on data collection, modelling and clinical applications. Topics covered in the first section on data collection include: data sources, data at scale (big data), data stewardship (FAIR data) and related privacy concerns. Aspects of predictive modelling using techniques such as classification, regression or clustering, and prediction model validation will be covered in the second section. The third section covers aspects of (mobile) clinical decision support systems, operational excellence and value-based healthcare.Fundamentals of Clinical Data Scienceis an essential resource for healthcare professionals and IT consultants intending to develop and refine their skills in personalized medicine, using solutions based on large datasets from electronic health records or telemonitoring programmes. The book's promise is 'no math, no code'and will explain the topics in a style that is optimized for a healthcare audience. 232 pp. Englisch.

Condizione: New. Print on Demand pp. VIII, 219 45 illus., 35 illus. in color.

Condizione: New. PRINT ON DEMAND pp. VIII, 219 45 illus., 35 illus. in color.

Gebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides a resource for healthcare professionals on smart algorithms&nbspIntegrates the data, modelling, clinical application levels of clinical data scienceFocuses on relevant non math and c.

Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This open access book comprehensively covers the fundamentals of clinical data science, focusing on data collection, modelling and clinical applications. Topics covered in the first section on data collection include: data sources, data at scale (big data), data stewardship (FAIR data) and related privacy concerns. Aspects of predictive modelling using techniques such as classification, regression or clustering, and prediction model validation will be covered in the second section. The third section covers aspects of (mobile) clinical decision support systems, operational excellence and value-based healthcare.Fundamentals of Clinical Data Science is an essential resource for healthcare professionals and IT consultants intending to develop and refine their skills in personalized medicine, using solutions based on large datasets from electronic health records or telemonitoring programmes. The book's promise is 'no math, no code'and will explain the topics in a style that is optimized for a healthcare audience.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 232 pp. Englisch.