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Module 5 AIA6600 : Artificial Intelligence : Use of TensorFlow, Boosting & Bagging

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Added on  2023-04-29

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In this PDF we will discuss about Module 5 AIA6600 : Artificial Intelligence : Use of TensorFlow, Boosting & Bagging Advanced Pattern Analysis Algorithms in AI:

  • Cardiovascular disease is a growing burden on medical systems.
  • Artificial intelligence (AI) uses machine learning techniques to produce practical and economical alternatives to more effectively treat CVD.
  • Artificial intelligence (AI) is increasingly being used in cardiology to create and employ ML algorithms in various illnesses, including arrhythmia, cardiac arrest, coronary artery and heart valve disease problems.
  • This field is rapidly evolving and seeks to simulate human intuition.

Module 5 AIA6600 : Artificial Intelligence : Use of TensorFlow, Boosting & Bagging

   Added on 2023-04-29

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Milestone 2
Module 5 AIA6600
Artificial Intelligence
Use of TensorFlow, Boosting, & Bagging Advanced
Pattern Analysis Algorithms in AI
BA (Hons) Jihan Adilah Ikbar
Learner ID: 081634
Module 5 AIA6600 : Artificial Intelligence : Use of TensorFlow, Boosting & Bagging_1
ARTIFICIAL INTELLIGENCE REVENUE
MAXIMIZATION IN THE HELATHCARE INDUSTRY
EXECUTIVE SUMMARY
Cardiovascular disease is currently placing a significant and growing load on medical systems.
Artificial intelligence (AI), a rapidly evolving field that seeks to simulate human intuition to
produce practical and economical alternatives to more effectively treat CVD, uses machine
learning techniques. In cardiology, ML algorithms are being created and employed increasingly
frequently in a variety of illnesses, including arrhythmia, cardiac arrest, coronary artery
and heart valve disease problems. Artificial intelligence (AI) can be used in many applications
that are beneficial for Midwest Cardiology Institute and the cardiovascular practices it is linked
with. Diagnoses and therapies are predicted by highly advanced AI systems. Machine learning,
deep learning, and cloud technologies are all pertinent in this specific case. Yet, it is employed
to resolve challenges and reach strategic conclusions. In addition to examining the causes and
interactions of various variables, one may also look into their effects. By this paper, we hope
to assess artificial intelligence's potential in cardiology. With the help of AI technology, we
may analyze and track the functioning of the heart using this method.
Module 5 AIA6600 : Artificial Intelligence : Use of TensorFlow, Boosting & Bagging_2
BACKGROUND
Heart disease is significantly impacted by eating foods that are fatty and heavily processed.
Heart failure, congenital heart disease, coronary artery disease, stroke, and many other
cardiovascular disorders require a doctor's special attention in order to receive better therapy.
Nowadays, artificial intelligence (AI), which replicates human intelligence in computer
programs that think like people, has become an essential tool for medical research. Everyone
is focused on the development of technology in the digital age so that it can converge with the
medical industry and provide new connected, reliable, and efficient healthcare solutions. AI is
one of the most recent advancements in the extension and improvement of cardiac efficiency.
AI is used to assess the outcomes of devices like echocardiograms, MRIs, CT scans, and other
ones that have long been studied using ever-more-advanced technological techniques. AI,
which helps us to determine the ideal operating conditions throughout the recuperation process,
made this possible. Cardiology wants to use AI to advance technology and implement clinical
AI practices that emphasize a healthy lifestyle for a wide range of people (Matthies, 2022).
Module 5 AIA6600 : Artificial Intelligence : Use of TensorFlow, Boosting & Bagging_3

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