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1. |
Record Nr. |
UNINA9910778072603321 |
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Autore |
Cohen Jeffrey A (Jeffrey Allen), <1951-> |
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Titolo |
Peripheral nerve and muscle disease [[electronic resource] /] / Jeffrey A. Cohen, Justin Mowchun, Jon Grudem |
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Pubbl/distr/stampa |
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Oxford ; ; New York, : Oxford University Press, 2009 |
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ISBN |
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0-19-932293-7 |
1-282-11469-7 |
9786612114694 |
0-19-970506-2 |
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Descrizione fisica |
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1 online resource (199 p.) |
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Collana |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Nerves, Peripheral - Diseases |
Neuromuscular diseases |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Contents; SECTION I: NEUROPATHY; SECTION II: MYOPATHY; SECTION III: NEUROMUSCULAR JUNCTION AND AUTONOMIC NEUROPATHY; Index |
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Sommario/riassunto |
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This book is a case-based learning guide for neuromuscular diseases. This second volume in the What Do I Do Now? series, Peripheral Nerve and Muscle Disease recreates real clinical situations in which the attending is asked for advice as the neurological consultant. The approach to the clinical question is discussed emphasizing differential diagnosis and treatment pathways. The authors have included clinical pitfalls which they have experienced in their own practice. This is a readable book which can be picked up in spare moments. |
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2. |
Record Nr. |
UNINA9910580211103321 |
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Autore |
Liu Chuan-Ming |
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Titolo |
Principles and Applications of Data Science |
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Pubbl/distr/stampa |
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Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
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Descrizione fisica |
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1 online resource (168 p.) |
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Soggetti |
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History of engineering and technology |
Technology: general issues |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Sommario/riassunto |
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Data science is an emerging multidisciplinary field which lies at the intersection of computer science, statistics, and mathematics, with different applications and related to data mining, deep learning, and big data. This Special Issue on "Principles and Applications of Data Science" focuses on the latest developments in the theories, techniques, and applications of data science. The topics include data cleansing, data mining, machine learning, deep learning, and the applications of medical and healthcare, as well as social media. |
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