Diagnostic Expert Systems
Diagnostic Expert Systems is a type of expert system that belongs to the broader class of artificial intelligence systems designed to emulate human reasoning, specifically distinguished by its focus on identifying faults or diseases by analyzing symptoms and other observational data through rule-based or knowledge-based inference mechanisms.
1.3K
Publications
53.8K
Citations
3.4K
Authors
1.2K
Institutions
Publications per year
2017–2026
268
Parents
1.3K
Yogesh Kumar, Apeksha Koul, Ruchi Singla et al. · Journal of Ambient Intelligence and Humanized Computing · 2022 · 999 citations · Full text
Neural network learning and expert systems
Choice Reviews Online · 1993 · 534 citations
1–5 of 1.3K
3.4K
Al-Azhar University – Gaza, Palestinian Territories
23 publications · 1.1K citations
18
h-index
12
h-index
7
h-index
6
h-index
6
h-index
1–5 of 3.4K
1.2K
Stanford University
Stanford, United States
12 h-index
23 publications
1.1K citations

University of Chittagong
Chittagong, Bangladesh
12 h-index
24 publications
1.1K citations
The Ohio State University
Columbus, United States
10 h-index
31 publications
771 citations

Al-Azhar University – Gaza
Gaza, Palestine
9 h-index
24 publications
1.2K citations
University of Arizona
Tucson, United States
9 h-index
10 publications
172 citations
Aalborg University
Aalborg, Denmark
8 h-index
12 publications
4.5K citations
University College London
London, United Kingdom
8 h-index
15 publications
371 citations
Fırat University
Elâzığ, Türkiye
8 h-index
14 publications
1.8K citations
1–8 of 1.2K
42 publications · 3K citations
28
h-index
Repository · 44 publications · 921 citations
19
h-index
19 publications · 671 citations
16
h-index
18 publications · 948 citations
14
h-index
12 publications · 1.7K citations
12
h-index
1–5