Mathur, Yash, Student, Department of Computer Engineering, Poornima Institute of Engineering & Technology, Jaipur, Rajasthan, India, India
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Vol 7, No 2 (2021) - Articles
Heart Disease Analysis Using Machine Learning Techniques
Abstract
International Journal of Biomedical Engineering
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Keywords
3D printing, FDM, Tensile properties, Structural morphology, Modelling, Finite Element Analysis.
Bacteriocin, Lactic acid bacteria, Cancer therapy, Pore formation, Antimicrobial activity
Bioinformatics, antimicrobial protein, fiddler crab, NCBI, ScanProsite, ClustalW, ACUA
Bioweapons, disasters, pandemic, epidemic, pathogen
Burn, Death, Fire, Autopsy,Injuries ,Disability,Mortality,Morbidity
Capsicum disease, deep neural network, classification, test accuracy
Cherubism, radiological findings, X-ray, CT scan, MRI, mandible, maxilla, fibro-osseous disorder
Classification, heart disease, support vector machine, decision tree, linear regression, random forest
Computer vision, deep learning, CNN, object detection, inception V3, tensor flow
Effectiveness, computer simulated learning, knowledge, coronary artery, myocardial infractions
Indian regulations, medical device regulations, medical devices, Drugs and Cosmetics,
Medical imaging, clinic research, biomedical processing recognition, image processing
Orthotic design, hand orthosis, ultrasound reinforced orthoses, electronic chip, mechanical design program
Osteoporosis. Bone structure, Health, Physiology, Hormonal, and Postmenopausal
Pressure Chamber, infectious diseases, Corona, Modeling, Air leakage
Sensors, healthcare, cloud storage, remote, sensors
Stem cells.
Thyroid, hypothyroidism, hyperthyroidism, MRI, X-rays, Computed Tomography, Optical Coherence Tomography, Ultrasound
Vitamer , Exaggeration, Bulging fontanels, Epiphysealclosure, Intracranial pressure , Fortification, Paraesthesia, hyperkeratosis , Pro-oxidant and Thalassemia or Hemochromatosis
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