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Innovative data integration and conceptual space modeling for COVID, cancer and cardiac care /

"In recent years, scientific research and translation medicine have placed increased emphasis on computational methodology and data curation across many disciplines, both to advance underlying science and to instantiate precision-medicine protocols in the lab and in clinical practice. The nexus...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Neustein, Amy (Autor), Christen, Nathaniel (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London : Academic Press, an imprint of Elsevier, [2022]
Temas:
Acceso en línea:Texto completo

MARC

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050 4 |a R858 
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100 1 |a Neustein, Amy,  |e author. 
245 1 0 |a Innovative data integration and conceptual space modeling for COVID, cancer and cardiac care /  |c Amy Neustein, Nathaniel Christen. 
264 1 |a London :  |b Academic Press, an imprint of Elsevier,  |c [2022] 
264 4 |c �2022 
300 |a 1 online resource (vii, 278 pages) 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
504 |a Includes bibliographical references and index. 
505 0 |a 1. Introduction -- 2. Data structures associated with biomedical research -- 3. Data mining and predictive analytics for cancer and COVID-19 -- 4. Modular design, image biomarkers, and radiomics -- 5. Types' internal structure and "non-constructive" ("NC4") type theory -- 6. Using code models to instantiate data models -- 7. Multi-aspect modules and image annotation -- 8. Image annotation as a multi-aspect case study -- 9. Conceptual spaces and scientific data models. 
520 |a "In recent years, scientific research and translation medicine have placed increased emphasis on computational methodology and data curation across many disciplines, both to advance underlying science and to instantiate precision-medicine protocols in the lab and in clinical practice. The nexus of concerns related to oncology, cardiology, and virology (SARS-CoV-2) presents a fortuitous context within which to examine the theory and practice of biomedical data curation. Innovative Data Integration and Conceptual Space Modeling for COVID, Cancer, and Cardiac Care argues that a well-rounded approach to data modeling should optimally embrace multiple perspectives inasmuch as data-modeling is neither a purely formal nor a purely conceptual discipline, but rather a hybrid of both. On the one hand, data models are designed for use by computer software components, and are, consequently, constrained by the mechanistic demands of software environments; data modeling strategies must accept the formal rigors imposed by unambiguous data-sharing and query-evaluation logic. In particular, data models are not well-suited for software-level deployment if such models do not translate seamlessly to clear strategies for querying data and ensuring data integrity as information is moved across multiple points. On the other hand, data modeling is, likewise, constrained by human conceptual tendencies, because the information which is managed by databases and data networks is ultimately intended to be visualized/utilized by humans as the end-user."--  |c Provided by publisher. 
545 0 |a Amy Neustein, PhD is CEO and founder of Linguistic Technology Systems, Fort Lee, NJ. Nathaniel Christen is lead software architect at Linguistic Technology Systems. 
588 0 |a Print version record. 
650 0 |a Medical care  |x Data processing. 
650 0 |a Data integration (Computer science) 
650 0 |a COVID-19 (Disease)  |x Treatment. 
650 0 |a Cancer  |x Treatment. 
650 0 |a Cardiovascular system  |x Diseases  |x Treatment. 
650 1 2 |a Medical Informatics  |0 (DNLM)D008490 
650 2 2 |a COVID-19  |x therapy  |0 (DNLM)D000086382Q000628 
650 1 2 |a Neoplasms  |x therapy  |0 (DNLM)D009369Q000628 
650 2 |a Cardiovascular Diseases  |x therapy  |0 (DNLM)D002318Q000628 
650 6 |a Int�egration de donn�ees (Informatique)  |0 (CaQQLa)000275620 
650 6 |a COVID-19  |0 (CaQQLa)000313216  |x Traitement.  |0 (CaQQLa)201-0377521 
650 6 |a Cancer  |x Traitement.  |0 (CaQQLa)201-0004693 
650 6 |a Appareil cardiovasculaire  |x Maladies  |x Traitement.  |0 (CaQQLa)201-0233264 
650 6 |a Soins m�edicaux  |0 (CaQQLa)201-0052619  |x Informatique.  |0 (CaQQLa)201-0380011 
650 6 |a M�edecine  |x Informatique.  |0 (CaQQLa)201-0103112 
650 7 |a Cancer  |x Treatment  |2 fast  |0 (OCoLC)fst00845538 
650 7 |a Cardiovascular system  |x Diseases  |x Treatment  |2 fast  |0 (OCoLC)fst00847218 
650 7 |a COVID-19 (Disease)  |x Treatment  |2 fast  |0 (OCoLC)fst01984645 
650 7 |a Data integration (Computer science)  |2 fast  |0 (OCoLC)fst01763872 
650 7 |a Medical care  |x Data processing  |2 fast  |0 (OCoLC)fst01013786 
700 1 |a Christen, Nathaniel,  |e author. 
776 0 8 |i Print version:  |a NEUSTEIN, AMY.  |t INNOVATIVE DATA INTEGRATION AND CONCEPTUAL SPACE MODELING FOR COVID, CANCER, AND CARDIAC CARE.  |d ELSEVIER ACADEMIC PRESS, 2022  |z 0323851975  |w (OCoLC)1263864990 
856 4 0 |u https://sciencedirect.uam.elogim.com/science/book/9780323851978  |z Texto completo