Results 61 to 70 of about 4,322,490 (338)

Similarity Measures of Spherical Fuzzy Sets Based on Cosine Function and Their Applications

IEEE Access, 2019
In this paper, we defined ten similarity measures between spherical fuzzy sets (SFSs) based on the cosine function by considering the degree of positive-membership, degree of neutral-membership, degree of non-membership and degree of refusual-membership ...
Guiwu Wei, Jie Wang, Mao Lu, Jiang Wu, Cun Wei   +4 more
doaj   +1 more source

Medical analysis and diagnosis by neural networks [PDF]

, 2010
In its first part, this contribution reviews shortly the application of neural network methods to medical problems and characterizes its advantages and problems in the context of the medical background.
Brause, Rüdiger W.
core  

Highly multiplexed digital PCR assay for simultaneous quantification of variant allele frequencies and copy number alterations of KRAS and GNAS in pancreatic cancer precursors

Molecular Oncology, EarlyView.
Combining melting curve analysis enhances the multiplexing capability of digital PCR. Here, we developed a 14‐plex assay to simultaneously measure single nucleotide mutations and amplifications of KRAS and GNAS, which are common driver genes in pancreatic cancer precursors. This assay accurately quantified variant allele frequencies in clinical samples
Junko Tanaka, Tatsuo Nakagawa, Yusuke Ono, Yoshio Kamura, Takeshi Ishida, Hidemasa Kawabata, Kenji Takahashi, Hiroki Sato, Andrew S. Liss, Yusuke Mizukami, Takahide Yokoi   +10 more
wiley   +1 more source

Artificial intelligence in medical diagnosis

Current Medicine Research and Practice, 2020
The use of artificial intelligence (AI) in medicine made its beginning five decades ago in 1972 when researchers at Stanford University in the USA developed an expert system MYCIN for treating blood infections.
Ronit Jaiswal, Ramesh Lal Sapra, Girish K Jha, Samiran Nundy   +3 more
doaj   +1 more source

Comparing self‐reported race and genetic ancestry for identifying potential differentially methylated sites in endometrial cancer: insights from African ancestry proportions using machine learning models

Molecular Oncology, EarlyView.
Integrating ancestry, differential methylation analysis, and machine learning, we identified robust epigenetic signature genes (ESGs) and Core‐ESGs in Black and White women with endometrial cancer. Core‐ESGs (namely APOBEC1 and PLEKHG5) methylation levels were significantly associated with survival, with tumors from high African ancestry (THA) showing ...
Huma Asif, J. Julie Kim
wiley   +1 more source

Unveiling Uncertainty: Neutrosophic Set-Based Algorithms for Robust Decision-Making [PDF]

Neutrosophic Sets and Systems
Traditional decision-making methods often struggle with inherent uncertainty and imprecision in data. Neutrosophic set-based algorithms offer a novel approach by incorporating degrees of truth, indeterminacy, and falsity.
A.A.Salama, Huda E. Khalid, Ahmed G. Mabrouk   +2 more
doaj   +1 more source

Sample Preparation and Diagnostic Methods for a Variety of Settings: A Comprehensive Review

Molecules, 2021
Sample preparation is an essential step for nearly every type of biochemical analysis in use today. Among the most important of these analyses is the diagnosis of diseases, since their treatment may rely greatly on time and, in the case of infectious ...
Zach E. Nichols, Chris D. Geddes
doaj   +1 more source

Medical diagnosis system and method with multispectral imaging [PDF]

, 1979
A skin diagnosis system includes a scanning and optical arrangement whereby light reflected from each incremental area (pixel) of the skin is directed simultaneously to three separate light filters, e.g., IR, red, and green.
Anselmo, V. J., Reilly, T. H.
core   +1 more source

A large‐scale retrospective study in metastatic breast cancer patients using circulating tumour DNA and machine learning to predict treatment outcome and progression‐free survival

Molecular Oncology, EarlyView.
There is an unmet need in metastatic breast cancer patients to monitor therapy response in real time. In this study, we show how a noninvasive and affordable strategy based on sequencing of plasma samples with longitudinal tracking of tumour fraction paired with a statistical model provides valuable information on treatment response in advance of the ...
Emma J. Beddowes, Mario Ortega Duran, Solon Karapanagiotis, Alistair Martin, Meiling Gao, Riccardo Masina, Ramona Woitek, James Tanner, Fleur Tippin, Justine Kane, Jonathan Lay, Anja Brouwer, Stephen‐John Sammut, Suet‐Feung Chin, Davina Gale, Dana W. Y. Tsui, Sarah‐Jane Dawson, Nitzan Rosenfeld, Maurizio Callari, Oscar M. Rueda, Carlos Caldas   +20 more
wiley   +1 more source

LungVision: X-ray Imagery Classification for On-Edge Diagnosis Applications

Algorithms
This study presents a comprehensive analysis of utilizing TensorFlow Lite on mobile phones for the on-edge medical diagnosis of lung diseases. This paper focuses on the technical deployment of various deep learning architectures to classify nine ...
Raghad Aldamani, Diaa Addeen Abuhani, Tamer Shanableh   +2 more
doaj   +1 more source