Heart Failure Detection Using Quantum-Enhanced Machine Learning and Traditional Machine Learning Techniques for Internet of Artificially Intelligent Medical Things

Quantum-enhanced machine learning plays a vital role in healthcare because of its robust application concerning current research scenarios, the growth of novel medical trials, patient information and record management, procurement of chronic disease detection, and many more. Due to this reason, the...

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Veröffentlicht in:	Wireless communications and mobile computing 2021, Vol.2021 (1)
Hauptverfasser:	Kumar, Yogesh, Koul, Apeksha, Sisodia, Pushpendra Singh, Shafi, Jana, Verma, Kavita, Gheisari, Mehdi, Davoodi, Mohamad Bagher
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Algorithms Big Data Cardiac arrhythmia Classifiers Computers Decision trees Dyspnea Failure detection Health care Health care industry Heart failure Information management Internet Machine learning Medical equipment Medical research Mortality Procurement management Quantum computing Qubits (quantum computing) Sensors
Online-Zugang:	Volltext
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