Cargando…

Potential risk quantification from multiple biological factors via the inverse problem algorithm as an artificial intelligence tool in clinical diagnosis

BACKGROUND: The inverse problem algorithm (IPA) uses mathematical calculations to estimate the expectation value of a specific index according to patient risk factor groups. The contributions of particular risk factors or their cross-interactions can be evaluated and ranked by their importance. OBJE...

Descripción completa

Detalles Bibliográficos
Autores principales:	Huang, Shih-Hsun, Peng, Bing-Ru, Lin, Chih-Sheng, Tsai, Hui-Chieh, Pan, Lung-Fa, Pan, Lung-Kwang
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	IOS Press 2023
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10200174/ https://www.ncbi.nlm.nih.gov/pubmed/37038783 http://dx.doi.org/10.3233/THC-236008

Ejemplares similares

Quantitative Prediction of SYNTAX Score for Cardiovascular Artery Disease Patients via the Inverse Problem Algorithm Technique as Artificial Intelligence Assessment in Diagnostics
por: Lin, Meng-Chiung, et al.
Publicado: (2022)

Inverse Problem Algorithm-Based Time-Resolved Imaging of Head and Neck Computed Tomography Angiography Contrast Kinetics with Clinical Testification
por: Lin, Chih-Sheng, et al.
Publicado: (2023)

Optimizing cardiac CT angiography minimum detectable difference via Taguchi’s dynamic algorithm, a V-shaped line gauge, and three PMMA phantoms
por: Pan, Lung-Fa, et al.
Publicado: (2022)

Estimation and clinical verification of the effective and skin doses for pediatric and adult patients undergoing the cardiac interventional examination using five PMMA phantoms and TLD/ionization chamber technique
por: Wu, Keng-Yi, et al.
Publicado: (2019)

Survival rate prediction of breast cancer patients of 0-IV stages with and without radiotherapy via a revised Taylor series expansion algorithm: A population-based study in Taiwan
por: Chiu, Shao-Wen, et al.
Publicado: (2019)

Algorithmic and artificial intelligence methods for protein bioinformatics
por: Pan, Y., et al.
Publicado: (2014)

Large-Scale Inverse Problems and Quantification of Uncertainty
por: Biegler, Lorenz, et al.
Publicado: (2010)

Quantification of the In Vitro Radiosensitivity of Mung Bean Sprout Elongation to 6MV X-Ray: A Revised Target Model Study
por: Wang, Tzu Hwei, et al.
Publicado: (2015)

Editorial: Artificial Intelligence for eHealth
por: Gupta, Deepak, et al.
Publicado: (2022)

Artificial intelligence problems and their solutions
por: Kopec, Danny, et al.
Publicado: (2014)

Artificial intelligence and problem solving
por: Kopec, Danny, et al.
Publicado: (2016)

Validation of an Automated Artificial Intelligence Algorithm for the Quantification of Major OCT Parameters in Diabetic Macular Edema
por: Midena, Edoardo, et al.
Publicado: (2023)

Algorithms and architectures of artificial intelligence
por: Tyugu, E
Publicado: (2007)

Grokking Artificial Intelligence Algorithms
por: Hurbans, Rishal
Publicado: (2020)

Computational intelligence, optimization and inverse problems with applications in engineering
por: Platt, Gustavo Mendes, et al.
Publicado: (2018)

Development and Validation of an Artificial Intelligence Electrocardiogram Recommendation System in the Emergency Department
por: Tsai, Dung-Jang, et al.
Publicado: (2022)

Artificial intelligence-assisted identification and quantification of osteoclasts
por: Emmanuel, Thomas, et al.
Publicado: (2021)

Evolutionary artificial intelligence algorithms for the one-way road orientation planning problem with multiple venues: An example of evacuation planning in Taiwan
por: Hsieh, Yi-Chih, et al.
Publicado: (2021)

Fixed-Point Algorithms for Inverse Problems in Science and Engineering
por: Bauschke, Heinz H, et al.
Publicado: (2011)

Problem-solving methods in artificial intelligence
por: Nilsson, Nils J., 1933-
Publicado: (1971)

Cardiogenetics and Artificial Intelligence: the Mutscore Algorithm
por: Porretta, A P, et al.
Publicado: (2023)

Intelligent contributions of the artificial orca algorithm for continuous problems and real-time emergency medical services
por: Bendimerad, Lydia Sonia, et al.
Publicado: (2023)

Automated quantification of penile curvature using artificial intelligence
por: Abbas, Tariq O., et al.
Publicado: (2022)

PEAT: an intelligent and efficient paired-end sequencing adapter trimming algorithm
por: Li, Yun-Lung, et al.
Publicado: (2015)

An artificial intelligence-enabled ECG algorithm for identifying ventricular premature contraction during sinus rhythm
por: Chang, Sheng-Nan, et al.
Publicado: (2022)

Self-assembly growth of electrolytic silver dendrites
por: Tsai, Wen-Chieh, et al.
Publicado: (2022)

Publisher Correction: Self-assembly growth of electrolytic silver dendrites
por: Tsai, Wen‑Chieh, et al.
Publicado: (2022)

Artificial Intelligence Technology and Social Problem Solving
por: Kim, Yeunbae, et al.
Publicado: (2019)

An Artificial Intelligence-Enabled ECG Algorithm for the Prediction and Localization of Angiography-Proven Coronary Artery Disease
por: Huang, Pang-Shuo, et al.
Publicado: (2022)

Artificial intelligence tools for cyber attribution
por: Nunes, Eric, et al.
Publicado: (2018)

Artificial intelligence: tools, techniques, and applications
por: Eisenstadt, Marc, et al.
Publicado: (1984)

Accountable Artificial Intelligence: Holding Algorithms to Account
por: Busuioc, Madalina
Publicado: (2020)

Algorithmic Political Bias in Artificial Intelligence Systems
por: Peters, Uwe
Publicado: (2022)

Bias in artificial intelligence algorithms and recommendations for mitigation
por: Nazer, Lama H., et al.
Publicado: (2023)

Bridging artificial intelligence and fucoxanthin for the recovery and quantification from microalgae
por: Chong, Jun Wei Roy, et al.
Publicado: (2023)

Deep Learning Artificial Intelligence to Predict the Need for Tracheostomy in Patients of Deep Neck Infection Based on Clinical and Computed Tomography Findings—Preliminary Data and a Pilot Study
por: Chen, Shih-Lung, et al.
Publicado: (2022)

Artificial Intelligence Learning Semantics via External Resources for Classifying Diagnosis Codes in Discharge Notes
por: Lin, Chin, et al.
Publicado: (2017)

Artificial intelligence in obstetrics
por: Ahn, Ki Hoon, et al.
Publicado: (2022)

Inverse problems
por: Engl, Heinz W.

Inverse problems /
Publicado: (1984)

Cannot write session to /tmp/vufind_sessions/sess_j5do4mg1rhq74jv752rnaeodi2