Skip to main navigation
Skip to search
Skip to main content
Northwestern Scholars Home
Help & FAQ
Home
Experts
Organizations
Research Output
Grants
Core Facilities
Research Data
Search by expertise, name or affiliation
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
Research output
:
Book/Report
›
Book
2
Scopus citations
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Fundamentals of machine learning and deep learning in medicine'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Deep Machine Learning
100%
Machine Learning Learning
100%
Medical Students
40%
Student Researchers
40%
Medical Professionals
40%
Artificial Intelligence
40%
Medical Researchers
40%
Biostatistics
20%
Life Sciences
20%
Mathematics Courses
20%
Undergraduate Degree
20%
Engineering Department
20%
Learning Experience
20%
Educational Resources
20%
Popular
20%
Disruptive Technology
20%
Delicate Balance
20%
Computer Science Department
20%
Rapid Growth
20%
Medical Data
20%
Computer Engineering
20%
Calculus
20%
Reinforcement Learning
20%
Linear Regression
20%
Article number
20%
Medical Journals
20%
Nonlinear Features
20%
Unnecessary Complexity
20%
Mathematical Formalism
20%
Neural Network Learning
20%
Linear Classification
20%
Feature Engineering
20%
Advanced Mathematics
20%
Deep Learning Convolutional Neural Network
20%
Narrative Style
20%
Deep Recurrent Neural Network
20%
Introductory Mathematics
20%
Neural Reinforcement
20%
Foundations of Machine Learning
20%
Chemical Engineering
Learning System
100%
Deep Learning Method
100%
Artificial Intelligence
33%
Reinforcement Learning
16%
Recurrent Neural Network
16%
Medicine and Dentistry
Medicine
100%
Medical Student
50%
Linear Regression Analysis
25%
Rigor
25%
Stone Formation
25%
Biostatistics
25%
Psychology
Artificial Intelligence
100%
Neural Network
50%
Linear Regression
50%