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Clinical Decision Support Systems to Predict Drug-Drug Interaction Using Multilabel Long Short-Term Memory with an Autoencoder.
Alrowais, Fadwa; Alotaibi, Saud S; Hilal, Anwer Mustafa; Marzouk, Radwa; Mohsen, Heba; Osman, Azza Elneil; Alneil, Amani A; Eldesouki, Mohamed I.
Affiliation
  • Alrowais F; Department of Computer Sciences, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia.
  • Alotaibi SS; Department of Information Systems, College of Computing and Information System, Umm Al-Qura University, Makkah 24211, Saudi Arabia.
  • Hilal AM; Department of Computer and Self Development, Preparatory Year Deanship, Prince Sattam bin Abdulaziz University, Al Kharj 16436, Saudi Arabia.
  • Marzouk R; Department of Information Systems, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia.
  • Mohsen H; Department of Computer Science, Faculty of Computers and Information Technology, Future University in Egypt, New Cairo 11835, Egypt.
  • Osman AE; Department of Computer and Self Development, Preparatory Year Deanship, Prince Sattam bin Abdulaziz University, Al Kharj 16436, Saudi Arabia.
  • Alneil AA; Department of Computer and Self Development, Preparatory Year Deanship, Prince Sattam bin Abdulaziz University, Al Kharj 16436, Saudi Arabia.
  • Eldesouki MI; Department of Information System, College of Computer Engineering and Sciences, Prince Sattam bin Abdulaziz University, Al Kharj 16436, Saudi Arabia.
Article in En | MEDLINE | ID: mdl-36768060

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Decision Support Systems, Clinical Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Int J Environ Res Public Health Year: 2023 Document type: Article Affiliation country: Arabia Saudita Country of publication: Suiza

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Decision Support Systems, Clinical Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Int J Environ Res Public Health Year: 2023 Document type: Article Affiliation country: Arabia Saudita Country of publication: Suiza