TY  - GEN
AB  - The book presents current research advances, both academic and industrial, in machine learning, artificial intelligence, and data analytics for biomedical and healthcare applications. The book deals with key challenges associated with biomedical data analysis including higher dimensions, class imbalances, smaller database sizes, etc. It also highlights development of novel pattern recognition and machine learning methods specific to medical and genomic data, which is extremely necessary but highly challenging. The book will be useful for healthcare professionals who have access to interesting data sources but lack the expertise to use data mining effectively.
AU  - Dey, Nilanjan,
CN  - R858
CY  - Singapore :
DA  - [2023]
DO  - 10.1007/978-981-19-5184-8
DO  - doi
ID  - 1453158
KW  - Medicine
KW  - Medical statistics.
KW  - Data mining.
LK  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-19-5184-8
N2  - The book presents current research advances, both academic and industrial, in machine learning, artificial intelligence, and data analytics for biomedical and healthcare applications. The book deals with key challenges associated with biomedical data analysis including higher dimensions, class imbalances, smaller database sizes, etc. It also highlights development of novel pattern recognition and machine learning methods specific to medical and genomic data, which is extremely necessary but highly challenging. The book will be useful for healthcare professionals who have access to interesting data sources but lack the expertise to use data mining effectively.
PB  - Springer,
PP  - Singapore :
PY  - [2023]
SN  - 9789811951848
SN  - 9811951845
T1  - Data-driven approach for bio-medical and healthcare/
TI  - Data-driven approach for bio-medical and healthcare/
UR  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-19-5184-8
ER  -