Results 71 to 80 of about 11,852,880 (383)

Information can kill [PDF]

open access: yes, 2004
Recent advances in understanding links between genes and the susceptibility to particular diseases have considerably increased the scope for predictive diagnosis. Methods.
Huck, S., Konrad, K.A.
core   +1 more source

Computational intelligence for disease diagnosis: an approach based on neutrosophic logic [PDF]

open access: yesNeutrosophic Sets and Systems
Medical diagnosis faces significant challenges due to the inherent uncertainty and ambiguity of clinical data. In this context, this paper proposes a neutrosophic logic-based approach to disease diagnosis, with an emphasis on the detection of chronic ...
Omar Mar Cornelio, Barbara Bron Fonseca
doaj  

Rough Sets in Biomedical Informatics

open access: yesBiomath, 2013
The intent of this paper is to face the essentials of granular computing and in its major component -  the rough sets theory, introduced by Pawlak, since any rough set represents  an information granule.
Antony Popov, Simeon Stoykov
doaj   +1 more source

Deep Learning and Medical Diagnosis: A Review of Literature

open access: yesMultimodal Technologies and Interaction, 2018
In this review the application of deep learning for medical diagnosis is addressed. A thorough analysis of various scientific articles in the domain of deep neural networks application in the medical field has been conducted.
M. Bakator, D. Radosav
semanticscholar   +1 more source

A New Divergence Measure of Pythagorean Fuzzy Sets Based on Belief Function and Its Application in Medical Diagnosis

open access: yesMathematics, 2020
As the extension of the fuzzy sets (FSs) theory, the intuitionistic fuzzy sets (IFSs) play an important role in handling the uncertainty under the uncertain environments.
Qianli Zhou, Hongming Mo, Yong Deng
semanticscholar   +1 more source

Characterizing the salivary RNA landscape to identify potential diagnostic, prognostic, and follow‐up biomarkers for breast cancer

open access: yesMolecular Oncology, EarlyView.
This study explores salivary RNA for breast cancer (BC) diagnosis, prognosis, and follow‐up. High‐throughput RNA sequencing identified distinct salivary RNA signatures, including novel transcripts, that differentiate BC from healthy controls, characterize histological and molecular subtypes, and indicate lymph node involvement.
Nicholas Rajan   +9 more
wiley   +1 more source

Design of a wireless patient diagnosis system [PDF]

open access: yes, 2012
Medical administrative and diagnosis procedures require the retrieval of patient diagnosis history before treatments and drug administration. This involves careful checking of the patient past record which might be stored electronically or in paper ...
Holmes, Violeta, Jimoh, F.
core  

AN IMPROVED GREY WOLF OPTIMIZATION-BASED LEARNING OF ARTIFICIAL NEURAL NETWORK FOR MEDICAL DATA CLASSIFICATION

open access: yesJournal of ICT, 2021
Grey wolf optimization (GWO) is a recent and popular swarm-based metaheuristic approach. It has been used in numerous fields such as numerical optimization, engineering problems, and machine learning.
Narender Kumar , Dharmender Kumar
doaj   +1 more source

Bridging the gap: Multi‐stakeholder perspectives of molecular diagnostics in oncology

open access: yesMolecular Oncology, EarlyView.
Although molecular diagnostics is transforming cancer care, implementing novel technologies remains challenging. This study identifies unmet needs and technology requirements through a two‐step stakeholder involvement. Liquid biopsies for monitoring applications and predictive biomarker testing emerge as key unmet needs. Technology requirements vary by
Jorine Arnouts   +8 more
wiley   +1 more source

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