Artificial intelligence with multi-functional machine learning platform development for better healthcare and precision medicine

Z Ahmed, K Mohamed, S Zeeshan, XQ Dong - Database, 2020 - academic.oup.com
Precision medicine is one of the recent and powerful developments in medical care, which
has the potential to improve the traditional symptom-driven practice of medicine, allowing …

Introduction to artificial intelligence in medicine

Y Mintz, R Brodie - Minimally Invasive Therapy & Allied …, 2019 - Taylor & Francis
Abstract The term Artificial Intelligence (AI) was coined by John McCarthy in 1956 during a
conference held on this subject. However, the possibility of machines being able to simulate …

Exponentially weighted moving average charts for detecting concept drift

GJ Ross, NM Adams, DK Tasoulis, DJ Hand - Pattern recognition letters, 2012 - Elsevier
Classifying streaming data requires the development of methods which are computationally
efficient and able to cope with changes in the underlying distribution of the stream, a …

Computer-aided tumor detection in endoscopic video using color wavelet features

SA Karkanis, DK Iakovidis, DE Maroulis… - IEEE transactions on …, 2003 - ieeexplore.ieee.org
We present an approach to the detection of tumors in colonoscopic video. It is based on a
new color feature extraction scheme to represent the different regions in the frame …

CoLD: a versatile detection system for colorectal lesions in endoscopy video-frames

DE Maroulis, DK Iakovidis, SA Karkanis… - Computer Methods and …, 2003 - Elsevier
In this paper, we present CoLD (colorectal lesions detector) an innovative detection system
to support colorectal cancer diagnosis and detection of pre-cancerous polyps, by processing …

Neural network-based colonoscopic diagnosis using on-line learning and differential evolution

GD Magoulas, VP Plagianakos, MN Vrahatis - Applied Soft Computing, 2004 - Elsevier
In this paper, on-line training of neural networks is investigated in the context of computer-
assisted colonoscopic diagnosis. A memory-based adaptation of the learning rate for the on …

Artificial neural networks in biomedical engineering: a review

R Nayak, LC Jain, BKH Ting - … Mechanics–New Frontiers for the New …, 2001 - Elsevier
This paper presents a review of applications of artificial neural networks in biomedical
engineering area. Artificial neural networks in general are explained; some limitations and …

Soft computing and machine learning techniques for e-health data analytics

B Brahma, HK Bhuyan - Connected e-Health: Integrated IoT and Cloud …, 2022 - Springer
Medical diagnosis has been a vital part of the healthcare system. The role of computer aided
systems is important to identify the exact diseases by testing the different parts of human …

[PDF][PDF] Revolutionizing medical practice: The impact of artificial intelligence (AI) on healthcare

S Javanmard - OA J Applied Sci Technol, 2024 - academia.edu
The twenty-first century has witnessed significant advancements in informatics, resha**
our understanding of data processing and accessibility. Artificial intelligence (AI) …

λ‐Perceptron: An adaptive classifier for data streams

NG Pavlidis, DK Tasoulis, NM Adams, DJ Hand - Pattern Recognition, 2011 - Elsevier
Streaming data introduce challenges mainly due to changing data distributions (population
drift). To accommodate population drift we develop a novel linear adaptive online …