00830nam a2200169   4500040003600000082001300036100003100049245008700080260003300167300004000200500013600240500004200376500004600418502005800464546001200522650012600534  cRiphah International University  a004bSAI  aHafiz Muhammad Saim (5036)  aCardiovascular disease forecast using machine learning and deep learning paradigms  aLahore b(unpublished)c2023  ax, 54 p. b: ill. c; 30 cm. e+ CD  aSubmitted In fulfillment of the requirement for the degree of Master of Sciences in Computer Science to the  Faculty of Computing.
  aIncludes bibliographical references.
  aThesis supervisor: Dr. Sheheryar Malik 

  aThesis (MSCS)--Riphah International University, 2023
  aEnglish  aComputer scienceaCardiovascular diseasevDisease forecastvMachine learningvDeep learningvLearning paradigmsvFCvRCSI