Ensemble Feature Selection Method For Prediction of Chronic Datasets: Dimensionality Reduction Method - Softcover
Synopsis
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.
"synopsis" may belong to another edition of this title.
Search results for Ensemble Feature Selection Method For Prediction of...
Seller Image
Ensemble Feature Selection Method For Prediction of Chronic Datasets
Published by
LAP LAMBERT Academic Publishing Jun 2022, 2022
ISBN 10: 6204978721
ISBN 13: 9786204978727
New
Taschenbuch
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: 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. Seller Inventory # 9786204978727
Seller Image
Ensemble Feature Selection Method For Prediction of Chronic Datasets
Published by
LAP LAMBERT Academic Publishing, 2022
ISBN 10: 6204978721
ISBN 13: 9786204978727
New
Softcover
Seller: moluna, Greven, Germany
Seller rating 5 out of 5 stars
Condition: 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. Seller Inventory # 646827218
Buy New
£ 31.78
£ 42.43 shipping
Ships from Germany to U.S.A.
Ships from Germany to U.S.A.
Quantity: Over 20 available
Seller Image
Ensemble Feature Selection Method For Prediction of Chronic Datasets
Published by
LAP LAMBERT Academic Publishing Jun 2022, 2022
ISBN 10: 6204978721
ISBN 13: 9786204978727
New
Taschenbuch
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: 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. Seller Inventory # 9786204978727
Seller Image
Ensemble Feature Selection Method For Prediction of Chronic Datasets : Dimensionality Reduction Method
Published by
LAP LAMBERT Academic Publishing, 2022
ISBN 10: 6204978721
ISBN 13: 9786204978727
New
Taschenbuch
Seller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: 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. Seller Inventory # 9786204978727
Seller Image
Ensemble Feature Selection Method For Prediction of Chronic Datasets | Dimensionality Reduction Method
Published by
LAP LAMBERT Academic Publishing, 2022
ISBN 10: 6204978721
ISBN 13: 9786204978727
New
Taschenbuch
Seller: preigu, Osnabrück, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: 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. Seller Inventory # 122082160