Medical Informatics and Data Analysis

• Autore: Nieminen Pentti
• Pubblicazione: Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
• Descrizione fisica: 1 online resource (250 p.)
• Soggetto topico: Medicine
• Soggetto non controllato: Active Contour Models; age-dependent stretched exponent; biostatistics; bird swarm algorithm; case study; castration-resistant prostate cancer; cervical injury; characteristic life; compartmental model; data analysis; data anonymization; data mining; data presentation; decision support system; deep belief network; deep learning; diabetes control; electronic healthcare; GLM; GVF; health; health care; heart disease diagnosis; heuristic approach; hierarchical classification; ICD coding; importance-satisfaction (I-S) model; inertial sensors; Iterative simulation; Long-term care (LTC); mathematical models; maximum lifespan; medical informatics; medicine; mobile assistant; modified stretched exponential function; Monte Carlo; n/a; neck pain; neck surface accelerometer; performance evaluation matrix (PEM); phased long short-term memory; power simulation; prostate cancer; prostate imaging; publications; reporting; retirement threshold; service quality performance matrix (SQPM); skewed data; snake segmentation; software tool; South Korean female; sparse FCM; statistical computing; statistics; surgery scheduling; t-test; Type I error; vocal distance dose; vocal fatigue; voice of customer (VOC)
• Persona (resp. second.): NieminenPentti
• Sommario/riassunto: During recent years, the use of advanced data analysis methods has increased in clinical and epidemiological research. This book emphasizes the practical aspects of new data analysis methods, and provides insight into new challenges in biostatistics, epidemiology, health sciences, dentistry, and clinical medicine. This book provides a readable text, giving advice on the reporting of new data analytical methods and data presentation. The book consists of 13 articles. Each article is self-contained and may be read independently according to the needs of the reader. The book is essential reading for postgraduate students as well as researchers from medicine and other sciences where statistical data analysis plays a central role.
• Titolo autorizzato: Medical Informatics and Data Analysis
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910557123703321
• Lo trovi qui: Univ. Federico II