Predicting COVID-19 Based on Environmental FactorsWith Machine Learning.

Saved in:
Bibliographic Details
Title: Predicting COVID-19 Based on Environmental FactorsWith Machine Learning.
Authors: Abdulkareem, Amjed Basil1, Sani, Nor Samsiah1, norsamsiahsani@ukm.edu.my, Sahran, Shahnorbanun1, Alyessari, Zaid Abdi Alkareem1, Adam, Afzan1, Rahman, Abdul Hadi Abd1, Abdulkarem, Abdulkarem Basil2
Source: Intelligent Automation & Soft Computing; 2021, Vol. 28 Issue 2, p305-320, 16p
Database: Applied Science & Technology Source
FullText Text:
  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 151028402
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Predicting COVID-19 Based on Environmental FactorsWith Machine Learning.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Abdulkareem%2C+Amjed+Basil%22">Abdulkareem, Amjed Basil</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Sani%2C+Nor+Samsiah%22">Sani, Nor Samsiah</searchLink><relatesTo>1</relatesTo>, <i>norsamsiahsani@ukm.edu.my</i><br /><searchLink fieldCode="AU" term="%22Sahran%2C+Shahnorbanun%22">Sahran, Shahnorbanun</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Alyessari%2C+Zaid+Abdi+Alkareem%22">Alyessari, Zaid Abdi Alkareem</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Adam%2C+Afzan%22">Adam, Afzan</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Rahman%2C+Abdul+Hadi+Abd%22">Rahman, Abdul Hadi Abd</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Abdulkarem%2C+Abdulkarem+Basil%22">Abdulkarem, Abdulkarem Basil</searchLink><relatesTo>2</relatesTo>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Intelligent+Automation+%26+Soft+Computing%22">Intelligent Automation & Soft Computing</searchLink>; 2021, Vol. 28 Issue 2, p305-320, 16p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=151028402
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.32604/iasc.2021.015413
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 16
        StartPage: 305
    Titles:
      – TitleFull: Predicting COVID-19 Based on Environmental FactorsWith Machine Learning.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Abdulkareem, Amjed Basil
      – PersonEntity:
          Name:
            NameFull: Sani, Nor Samsiah
      – PersonEntity:
          Name:
            NameFull: Sahran, Shahnorbanun
      – PersonEntity:
          Name:
            NameFull: Alyessari, Zaid Abdi Alkareem
      – PersonEntity:
          Name:
            NameFull: Adam, Afzan
      – PersonEntity:
          Name:
            NameFull: Rahman, Abdul Hadi Abd
      – PersonEntity:
          Name:
            NameFull: Abdulkarem, Abdulkarem Basil
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 08
              Text: 2021
              Type: published
              Y: 2021
          Identifiers:
            – Type: issn-print
              Value: 10798587
          Numbering:
            – Type: volume
              Value: 28
            – Type: issue
              Value: 2
          Titles:
            – TitleFull: Intelligent Automation & Soft Computing
              Type: main
ResultId 1