Prediction of neuropathy, neuropathic pain and kinesiophobia in patients with type 2 diabetes and design of computerized clinical decision support systems by using artificial intelligence

Clinical Decision Making ◽

Support Systems ◽

Clinical Decision ◽

Classification Framework

Clinical decision support systems are meant to improve the quality of decision-making in healthcare. Artificial intelligence is the science of creating intelligent systems that solve complex problems at the level of or better than human experts. Combining artificial intelligence methods into clinical decision support will enable the utilization of large quantities of data to produce relevant decision-making information to practitioners. This article examines various artificial intelligence methodologies and shows how they may be incorporated into clinical decision-making systems. A framework for describing artificial intelligence applications in clinical decision support systems is presented.

Artificial intelligence in medical devices and clinical decision support systems

Clinical Engineering Handbook ◽

10.1016/b978-0-12-813467-2.00084-5 ◽

2020 ◽

pp. 556-568 ◽

Cited By ~ 1

Author(s):

Elliot B. Sloane ◽

Ricardo J. Silva

Keyword(s):

Artificial Intelligence ◽

Decision Support ◽

Medical Devices ◽

Support Systems ◽

Clinical Decision

Clinical Decision Support Systems with Team-based Care on Type 2 Diabetes Improvement for Medicaid Patients: A Quality Improvement Project

International Journal of Medical Informatics ◽

10.1016/j.ijmedinf.2021.104626 ◽

2021 ◽

pp. 104626

Author(s):

Xiaoni Zhang ◽

Michelle Svec ◽

Robert Tracy ◽

Gary Ozanich

Keyword(s):

Type 2 Diabetes ◽

Quality Improvement ◽

Decision Support ◽

Clinical Decision ◽

Improvement Project ◽

Team Based Care

The Role of Artificial Intelligence in Clinical Decision Support Systems and a Classification Framework

Data Analytics in Medicine ◽

10.4018/978-1-7998-1204-3.ch021 ◽

2020 ◽

pp. 390-409

Author(s):

Steven Walczak

Keyword(s):

Artificial Intelligence ◽

Decision Making ◽

Decision Support ◽

Clinical Decision Making ◽

Support Systems ◽

Clinical Decision ◽

Classification Framework

Clinical decision support systems are meant to improve the quality of decision-making in healthcare. Artificial intelligence is the science of creating intelligent systems that solve complex problems at the level of or better than human experts. Combining artificial intelligence methods into clinical decision support will enable the utilization of large quantities of data to produce relevant decision-making information to practitioners. This article examines various artificial intelligence methodologies and shows how they may be incorporated into clinical decision-making systems. A framework for describing artificial intelligence applications in clinical decision support systems is presented.

The Role of Artificial Intelligence in Clinical Decision Support Systems and a Classification Framework

International Journal of Computers in Clinical Practice ◽

10.4018/ijccp.2018070103 ◽

2018 ◽

Vol 3 (2) ◽

pp. 31-47 ◽

Cited By ~ 3

Author(s):

Steven Walczak

Keyword(s):

Artificial Intelligence ◽

Decision Making ◽

Decision Support ◽

Intelligent Systems ◽

Clinical Decision Making ◽

Support Systems ◽

Clinical Decision

Clinical decision support systems are meant to improve the quality of decision-making in healthcare. Artificial intelligence is the science of creating intelligent systems that solve complex problems at the level of or better than human experts. Combining artificial intelligence methods into clinical decision support will enable the utilization of large quantities of data to produce relevant decision-making information to practitioners. This article examines various artificial intelligence methodologies and shows how they may be incorporated into clinical decision-making systems. A framework for describing artificial intelligence applications in clinical decision support systems is presented.