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Synopsis
A large number of hospitals and healthcare set-ups are continuing to evolve, as they are finding better ways to institutionalize the adoption and universalize the use of healthcare information system (HIS), that assists in data gathering and sharing among inter-departmental (within hospitals) and inter-hospital (between hospitals) networks. Data mining techniques can be used in these settings to eliminate inefficiencies and overcome challenges in health care delivery, as identifying key patterns within the patient level data will help in understanding and thus timely action upon the key determinants of health prevents disease related burden. Finding an optimum algorithm based on data mining technique that is both effective and efficient, while extracting useful information for decision support from such ever growing HIS databases continues to be an unmet need.This work was subjected to ethical clearance and review at the Ethical Review Board (ERB) of the BGS Global hospital, Bangalore, India, and was duly approved before the study initiation. The book demonstrates results of cascading feature selection with Classification algorithm for medical datasets.
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Decision Making in Medical Application-An Algorithmic Approach
Published by
LAP LAMBERT Academic Publishing, 2021
ISBN 10: 6204203908
ISBN 13: 9786204203904
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Seller: Books Puddle, New York, NY, U.S.A.
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Decision Making in Medical Application-An Algorithmic Approach
Published by
LAP LAMBERT Academic Publishing Sep 2021, 2021
ISBN 10: 6204203908
ISBN 13: 9786204203904
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Taschenbuch
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -A large number of hospitals and healthcare set-ups are continuing to evolve, as they are finding better ways to institutionalize the adoption and universalize the use of healthcare information system (HIS), that assists in data gathering and sharing among inter-departmental (within hospitals) and inter-hospital (between hospitals) networks. Data mining techniques can be used in these settings to eliminate inefficiencies and overcome challenges in health care delivery, as identifying key patterns within the patient level data will help in understanding and thus timely action upon the key determinants of health prevents disease related burden. Finding an optimum algorithm based on data mining technique that is both effective and efficient, while extracting useful information for decision support from such ever growing HIS databases continues to be an unmet need.This work was subjected to ethical clearance and review at the Ethical Review Board (ERB) of the BGS Global hospital, Bangalore, India, and was duly approved before the study initiation. The book demonstrates results of cascading feature selection with Classification algorithm for medical datasets. 92 pp. Englisch. Seller Inventory # 9786204203904
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Decision Making in Medical Application-An Algorithmic Approach
Published by
LAP LAMBERT Academic Publishing, 2021
ISBN 10: 6204203908
ISBN 13: 9786204203904
New
Softcover
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Decision Making in Medical Application-An Algorithmic Approach
Published by
LAP LAMBERT Academic Publishing, 2021
ISBN 10: 6204203908
ISBN 13: 9786204203904
New
Taschenbuch
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - A large number of hospitals and healthcare set-ups are continuing to evolve, as they are finding better ways to institutionalize the adoption and universalize the use of healthcare information system (HIS), that assists in data gathering and sharing among inter-departmental (within hospitals) and inter-hospital (between hospitals) networks. Data mining techniques can be used in these settings to eliminate inefficiencies and overcome challenges in health care delivery, as identifying key patterns within the patient level data will help in understanding and thus timely action upon the key determinants of health prevents disease related burden. Finding an optimum algorithm based on data mining technique that is both effective and efficient, while extracting useful information for decision support from such ever growing HIS databases continues to be an unmet need.This work was subjected to ethical clearance and review at the Ethical Review Board (ERB) of the BGS Global hospital, Bangalore, India, and was duly approved before the study initiation. The book demonstrates results of cascading feature selection with Classification algorithm for medical datasets. Seller Inventory # 9786204203904
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Decision Making in Medical Application-An Algorithmic Approach
Published by
LAP LAMBERT Academic Publishing, 2021
ISBN 10: 6204203908
ISBN 13: 9786204203904
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Softcover
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Decision Making in Medical Application-An Algorithmic Approach
Published by
LAP LAMBERT Academic Publishing, 2021
ISBN 10: 6204203908
ISBN 13: 9786204203904
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Kumar UM AshwinDr. Ashwin Kumar UM is working as a Deputy Director in the School of Computer Science and Engineering, REVA University, Bangalore. He has nearly twenty five years of teaching experience. He has published many research . Seller Inventory # 522554884
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Decision Making in Medical Application-An Algorithmic Approach
Published by
LAP LAMBERT Academic Publishing Sep 2021, 2021
ISBN 10: 6204203908
ISBN 13: 9786204203904
New
Taschenbuch
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
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Taschenbuch. Condition: Neu. Neuware -A large number of hospitals and healthcare set-ups are continuing to evolve, as they are finding better ways to institutionalize the adoption and universalize the use of healthcare information system (HIS), that assists in data gathering and sharing among inter-departmental (within hospitals) and inter-hospital (between hospitals) networks. Data mining techniques can be used in these settings to eliminate inefficiencies and overcome challenges in health care delivery, as identifying key patterns within the patient level data will help in understanding and thus timely action upon the key determinants of health prevents disease related burden. Finding an optimum algorithm based on data mining technique that is both effective and efficient, while extracting useful information for decision support from such ever growing HIS databases continues to be an unmet need.This work was subjected to ethical clearance and review at the Ethical Review Board (ERB) of the BGS Global hospital, Bangalore, India, and was duly approved before the study initiation. The book demonstrates results of cascading feature selection with Classification algorithm for medical datasets.Books on Demand GmbH, Überseering 33, 22297 Hamburg 92 pp. Englisch. Seller Inventory # 9786204203904
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