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A Threat Towards the Neonatal Mortality

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Advances in Computing and Data Sciences (ICACDS 2020)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1244))

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Abstract

This paper focusses on review and an analysis of the observational studies or case control studies for identification of the threats to the neonatal stage as it is the critical phase for the adaption of the extrauterine life so that significant risk factors are deduced and aiming at the reduction in the mortality of neonatal. Vulnerabilities with respect to both maternal as well as neonatal threatened the survival of neonates. These threats impact economically, socially, psychologically and physical. Predictive analytics to be done through the techniques of machine learning. Supervised learning techniques are adopted for analysis of threats to the neonatal stage. This process splits in two sets: from a give data set, unknown dependencies are to be estimated for training the model and outputs of the system is to be predicted or tested by using estimated dependencies. In future, model can be designed to predict the threats and diseases.

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Author information

Authors and Affiliations

  1. Symbiosis Institute of Computer Studies and Research, Symbiosis International (Deemed University), Atur Centre, Model Colony, Pune, 411016, India

    Kumari Deepika & Santosh Chowhan

Authors
  1. Kumari Deepika
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  2. Santosh Chowhan
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Corresponding authors

Correspondence to Kumari Deepika or Santosh Chowhan .

Editor information

Editors and Affiliations

  1. University of KwaZulu-Natal, Durban, South Africa

    Mayank Singh

  2. Jaypee University of Information Technology, Waknaghat, Himachal Pradesh, India

    P. K. Gupta

  3. Jaypee University of Engineering and Technology, Guna, Madhya Pradesh, India

    Vipin Tyagi

  4. Institute of Information Theory and Automation, Prague, Czech Republic

    Jan Flusser

  5. University of Ottawa, Ottawa, ON, Canada

    Tuncer Ören

  6. University of Malta, Valletta, Malta

    Gianluca Valentino

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Deepika, K., Chowhan, S. (2020). A Threat Towards the Neonatal Mortality. In: Singh, M., Gupta, P., Tyagi, V., Flusser, J., Ören, T., Valentino, G. (eds) Advances in Computing and Data Sciences. ICACDS 2020. Communications in Computer and Information Science, vol 1244. Springer, Singapore. https://doi.org/10.1007/978-981-15-6634-9_6

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  • DOI: https://doi.org/10.1007/978-981-15-6634-9_6

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-6633-2

  • Online ISBN: 978-981-15-6634-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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