Ensemble Feature Selection Method For Prediction of Chronic Datasets

ISBN-13: 9786204978727 / Angielski / Miękka / 76 str.

Manonmani M.; Sarojini Balakrishnan

Opis

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.

O autorze

Manonmani 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 Professor (SS) at Avinashilingam University, Coimbatore. Her research interests include Medical Informatics and Cybersecurity.