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Hybrid Model for Detection of Cervical Cancer Using Causal Analysis and Machine Learning Techniques.
Lilhore, Umesh Kumar; Poongodi, M; Kaur, Amandeep; Simaiya, Sarita; Algarni, Abeer D; Elmannai, Hela; Vijayakumar, V; Tunze, Godwin Brown; Hamdi, Mounir.
Afiliación
  • Lilhore UK; KIET Group of Institutions, Delhi-NCR, 201206, India.
  • Poongodi M; Division of Information and Computing Technology, College of Science and Engineering, Hamad Bin Khalifa University, Qatar Foundation, Doha, Qatar.
  • Kaur A; Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab, India.
  • Simaiya S; Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab, India.
  • Algarni AD; Department of Information Technology, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia.
  • Elmannai H; Department of Information Technology, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia.
  • Vijayakumar V; University of New South Wales, Sydney, Australia.
  • Tunze GB; Department of Electronics and Telecommunication Engineering, Mbeya University of Science and Technology, Mbeya, Tanzania.
  • Hamdi M; Division of Information and Computing Technology, College of Science and Engineering, Hamad Bin Khalifa University, Qatar Foundation, Doha, Qatar.
Comput Math Methods Med ; 2022: 4688327, 2022.
Article en En | MEDLINE | ID: mdl-35572826
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias del Cuello Uterino Tipo de estudio: Diagnostic_studies / Etiology_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Límite: Female / Humans Idioma: En Revista: Comput Math Methods Med Asunto de la revista: INFORMATICA MEDICA Año: 2022 Tipo del documento: Article País de afiliación: India
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias del Cuello Uterino Tipo de estudio: Diagnostic_studies / Etiology_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Límite: Female / Humans Idioma: En Revista: Comput Math Methods Med Asunto de la revista: INFORMATICA MEDICA Año: 2022 Tipo del documento: Article País de afiliación: India