9786204978727 - Ensemble Feature Selection Method For Prediction of Chronic Datasets: Dimensionality Reduction Method de M., Manonmani; Balakrishnan, Sarojini (5 resultados)

Taschenbuch. Condición: Neu. Ensemble Feature Selection Method For Prediction of Chronic Datasets | Dimensionality Reduction Method | Manonmani M. (u. a.) | Taschenbuch | Englisch | 2022 | LAP LAMBERT Academic Publishing | EAN 9786204978727 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -As large and complex datasets are becoming increasingly available to the research community, more advanced and sophisticated data analytical techniques are needed to exploit and manage these data. Machine learning and data mining methods can be used to mine significant knowledge from a variety of large and heterogeneous data sources, supporting biomedical research and healthcare delivery. Data-driven healthcare is at the center of the vision of learning health systems and holds great promise for transforming the current healthcare status. Predictive data mining is becoming an important analytical instrument for the scientific community and clinical practitioners in the field of medicine. Secondary use of patient and clinical study data is able to enhance health care experiences for individuals. Further, it enables the expansion of knowledge about diseases and treatments and leads to an increase in the efficiency and effectiveness of health care systems. 76 pp. Englisch.

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: M. ManonmaniManonmani M. has completed her Ph.D. in Computer Science from Avinashilingam University, Coimbatore, in 2021. Her research areas are Data Mining and Medical Informatics. Dr. Sarojini Balakrishnan is working as Assistant P.

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -As large and complex datasets are becoming increasingly available to the research community, more advanced and sophisticated data analytical techniques are needed to exploit and manage these data. Machine learning and data mining methods can be used to mine significant knowledge from a variety of large and heterogeneous data sources, supporting biomedical research and healthcare delivery. Data-driven healthcare is at the center of the vision of learning health systems and holds great promise for transforming the current healthcare status. Predictive data mining is becoming an important analytical instrument for the scientific community and clinical practitioners in the field of medicine. Secondary use of patient and clinical study data is able to enhance health care experiences for individuals. Further, it enables the expansion of knowledge about diseases and treatments and leads to an increase in the efficiency and effectiveness of health care systems.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 76 pp. Englisch.

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - As large and complex datasets are becoming increasingly available to the research community, more advanced and sophisticated data analytical techniques are needed to exploit and manage these data. Machine learning and data mining methods can be used to mine significant knowledge from a variety of large and heterogeneous data sources, supporting biomedical research and healthcare delivery. Data-driven healthcare is at the center of the vision of learning health systems and holds great promise for transforming the current healthcare status. Predictive data mining is becoming an important analytical instrument for the scientific community and clinical practitioners in the field of medicine. Secondary use of patient and clinical study data is able to enhance health care experiences for individuals. Further, it enables the expansion of knowledge about diseases and treatments and leads to an increase in the efficiency and effectiveness of health care systems.