Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Akila Djebbar"'
Publikováno v:
International Journal of Software Innovation. 10:1-20
The medical diagnostic process works very similarly to the Case Based Reasoning (CBR) cycle scheme. CBR is a problem solving approach based on the reuse of past experiences called cases. To improve the performance of the retrieval phase, a Random For
Publikováno v:
Intelligent Decision Technologies. 15:541-559
Case-Based Reasoning (CBR) system maintenance is an important issue for current medical systems research. Large-scale CBR systems are becoming more omnipresent, with immense case libraries consisting of millions of cases. Case-Base Maintenance (CBM)
Publikováno v:
Handbook of Research on Driving Socioeconomic Development With Big Data ISBN: 9781668459591
The huge amount of health data attracts machine learning (ML) techniques to medical classification, and, through learning strategies, obtain remarkable results. Some techniques are used to classify and predict data to make accurate decisions, especia
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::afad557f9e86875bcf8e40a43a1e1661
https://doi.org/10.4018/978-1-6684-5959-1.ch008
https://doi.org/10.4018/978-1-6684-5959-1.ch008
Publikováno v:
All Sciences Abstracts. 1:3
The quality and resolution of medical images significantly impact the accuracy of clinical decisions. Preprocessing of medical images plays a crucial role in the performance of computer-aided diagnosis (CAD) systems, which helps to improve the qualit
Publikováno v:
All Sciences Abstracts. 1:1
The field of artificial intelligence has grown significantly in the past decade, with deep learning being a particularly promising technique due to its ability to learn complex feature representations from data. One area where deep learning has shown
Publikováno v:
Lecture Notes in Networks and Systems ISBN: 9789811676178
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9dc1a59bd3d8b23c06e3390128096db0
https://doi.org/10.1007/978-981-16-7618-5_34
https://doi.org/10.1007/978-981-16-7618-5_34
A Hybrid CBR Classification Model by integrating Decision Tree and Random Forest into Case Retrieval
Publikováno v:
2021 International Conference on Networking and Advanced Systems (ICNAS).
Publikováno v:
International Journal of Pattern Recognition and Artificial Intelligence. 35:2151011
Case-Base Maintenance (CBM) becomes of great importance when implementing a Computer-Aided Diagnostic (CAD) system using Case-Based Reasoning (CBR). Since it is essential for the learning to avoid the case-base degradation, this work aims to build an
Publikováno v:
International Journal of Intelligent Information and Database Systems. 13:454
The healthcare sector generates important amount of medical data on a daily basis, several machine learning (ML) methods have been developed and studied in order to usefully exploit this substantial sum of information generated colossally, in a wide
Publikováno v:
2018 International Conference on Applied Smart Systems (ICASS).
Developing a competent and accurate Computer-Aided Diagnosis (CAD) system to assist medical experts in making diagnosis requires a substantial amount of labeled (diagnosed) samples, however collecting labeled data is very costly and challenging when