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Fundamentals of machine learning and deep learning in medicine
Reza Borhani
*
, Soheila Borhani,
Aggelos K. Katsaggelos
*
Corresponding author for this work
Electrical and Computer Engineering
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Social Sciences
Medical Sciences
100%
Learning
100%
Machines
100%
Books
23%
Medical Student
15%
Mathematics
15%
Artificial Intelligence
15%
Professional Personnel
15%
Technology
15%
Engineering
15%
Introduction
15%
Undergraduates
7%
Neural Network
7%
Intuition
7%
Nonprofit Organizations
7%
Computer Science
7%
Calculus
7%
Service Industries
7%
Periodicals
7%
Experts
7%
Life Sciences
7%
Universe
7%
Authors
7%
Knowledge
7%
Understanding
7%
Testing
7%
Growth
7%
Feature
7%
Interest
7%
Practice
7%
Abstracts
7%
Subject
7%
Complexity
7%
Learning Experience
7%
Classification
7%
Strikes
7%
INIS
learning
100%
medicine
100%
machine learning
100%
engineering
22%
mathematics
22%
artificial intelligence
22%
data
11%
resources
11%
levels
11%
growth
11%
balances
11%
foundations
11%
demand
11%
computers
11%
classification
11%
exercise
11%
neural networks
11%
nonlinear problems
11%
universe
11%
calculi
11%
Computer Science
Machine Learning
100%
Deep Learning
100%
Research Worker
50%
Artificial Intelligence
33%
Learning Experiences
16%
Educational Resource
16%
Reinforcement Learning
16%
Recurrent Neural Network
16%
Mathematical Formalism
16%
Convolutional Neural Network
16%
Disruptive Technology
16%
Service
16%
Computer Science
16%
Complexity
16%
Psychology
Artificial Intelligence
100%
Neural Network
50%
Linear Regression
50%
Resources
50%
Peers
50%
Complexities
50%
Reinforcement
50%
Medicine and Dentistry
Learning
100%
Medicine
100%
Researcher
21%
Intelligence
14%
Medical Student
14%
Exercise
7%
Linear Regression Analysis
7%
Reinforcement
7%
Rigor
7%
Stone Formation
7%
Growth
7%
Biostatistics
7%
Life
7%
Intuition
7%
Comprehension
7%
Experience
7%
Neuroscience
Reinforcement Learning
100%
Recurrent Neural Network
100%