Cargando…

Artificial Neural Networks for Prediction of Tuberculosis Disease

Background: The global burden of tuberculosis (TB) and antibiotic resistance is attracting the attention of researchers to develop some novel and rapid diagnostic tools. Although, the conventional methods like culture are considered as the gold standard, they are time consuming in diagnostic procedu...

Descripción completa

Detalles Bibliográficos
Autores principales:	Khan, Muhammad Tahir, Kaushik, Aman Chandra, Ji, Linxiang, Malik, Shaukat Iqbal, Ali, Sajid, Wei, Dong-Qing
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2019
Materias:	Microbiology
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6409348/ https://www.ncbi.nlm.nih.gov/pubmed/30886608 http://dx.doi.org/10.3389/fmicb.2019.00395

Ejemplares similares

Gibbs Free Energy Calculation of Mutation in PncA and RpsA Associated With Pyrazinamide Resistance
por: Khan, Muhammad Tahir, et al.
Publicado: (2020)

Marine Natural Products and Drug Resistance in Latent Tuberculosis
por: Khan, Muhammad Tahir, et al.
Publicado: (2019)

Pyrazinamide resistance and mutations in pncA among isolates of Mycobacterium tuberculosis from Khyber Pakhtunkhwa, Pakistan
por: khan, Muhammad Tahir, et al.
Publicado: (2019)

Prevalence of Multi-Drug Resistant Mycobacterium Tuberculosis in Khyber Pakhtunkhwa – A High Tuberculosis Endemic Area of Pakistan
por: ALI, SAJID, et al.
Publicado: (2020)

Insight into novel clinical mutants of RpsA-S324F, E325K, and G341R of Mycobacterium tuberculosis associated with pyrazinamide resistance
por: Khan, Muhammad Tahir, et al.
Publicado: (2018)

Structural Dynamics Behind Clinical Mutants of PncA-Asp12Ala, Pro54Leu, and His57Pro of Mycobacterium tuberculosis Associated With Pyrazinamide Resistance
por: Mehmood, Aamir, et al.
Publicado: (2019)

Identification of differentially expressed genes and pathways crosstalk analysis in Rheumatoid and Osteoarthritis using next-generation sequencing and protein-protein networks
por: Qiu, Shenqiang, et al.
Publicado: (2021)

SARS-CoV-2 nucleocapsid and Nsp3 binding: an in silico study
por: Khan, Muhammad Tahir, et al.
Publicado: (2020)

Artificial neural network to predict the effect of obesity on the risk of tuberculosis infection
por: Badawi, Alaa, et al.
Publicado: (2021)

Utilization of Deep Convolutional Neural Networks for Accurate Chest X-Ray Diagnosis and Disease Detection
por: Mann, Mukesh, et al.
Publicado: (2023)

Structural and free energy landscape of novel mutations in ribosomal protein S1 (rpsA) associated with pyrazinamide resistance
por: Khan, Muhammad Tahir, et al.
Publicado: (2019)

Quantifying the Brain Predictivity of Artificial Neural Networks With Nonlinear Response Mapping
por: Anand, Aditi, et al.
Publicado: (2021)

Prediction of hypericin content in Hypericum perforatum L. in different ecological habitat using artificial neural networks
por: Saffariha, Maryam, et al.
Publicado: (2021)

Identification of novel drug targets for diamond-blackfan anemia based on RPS19 gene mutation using protein-protein interaction network
por: Khan, Abbas, et al.
Publicado: (2018)

Multi-Sensor Fusion for Underwater Vehicle Localization by Augmentation of RBF Neural Network and Error-State Kalman Filter
por: Shaukat, Nabil, et al.
Publicado: (2021)

Spoligotyping analysis of Mycobacterium tuberculosis in Khyber Pakhtunkhwa area, Pakistan
por: Ali, Sajid, et al.
Publicado: (2019)

The Prediction of a New CLCuD Epidemic in the Old World
por: Sattar, Muhammad N., et al.
Publicado: (2017)

Tuberculosis detection in chest radiograph using convolutional neural network architecture and explainable artificial intelligence
por: Nafisah, Saad I., et al.
Publicado: (2022)

Deep-learning-based target screening and similarity search for the predicted inhibitors of the pathways in Parkinson's disease
por: Khan, Abbas, et al.
Publicado: (2019)

Graph neural network and multi-data heterogeneous networks for microbe-disease prediction
por: Gong, Houwu, et al.
Publicado: (2022)

Pancreatic Cancer Prediction Through an Artificial Neural Network
por: Muhammad, Wazir, et al.
Publicado: (2019)

Estimating Flexural Strength of FRP Reinforced Beam Using Artificial Neural Network and Random Forest Prediction Models
por: Khan, Kaffayatullah, et al.
Publicado: (2022)

Entanglement detection with artificial neural networks
por: Asif, Naema, et al.
Publicado: (2023)

Optimization of Heavy Metals Biosorption via Artificial Neural Network: A Case Study of Cobalt (II) Sorption by Pseudomonas alcaliphila NEWG-2
por: Elsayed, Ashraf, et al.
Publicado: (2022)

State-of-the-art in artificial neural network applications: A survey
por: Abiodun, Oludare Isaac, et al.
Publicado: (2018)

Metapath Aggregated Graph Neural Network and Tripartite Heterogeneous Networks for Microbe-Disease Prediction
por: Chen, Yali, et al.
Publicado: (2022)

Artificial neural networks
por: Cain, Gayle
Publicado: (2016)

Novel Mutations in MPT64 Secretory Protein of Mycobacterium tuberculosis Complex
por: Muhammad, Noor, et al.
Publicado: (2023)

Computational identification, characterization and validation of potential antigenic peptide vaccines from hrHPVs E6 proteins using immunoinformatics and computational systems biology approaches
por: Khan, Abbas, et al.
Publicado: (2018)

Video frame prediction of microbial growth with a recurrent neural network
por: Robertson, Connor, et al.
Publicado: (2023)

WeiBI (web-based platform): Enriching integrated interaction network with increased coverage and functional proteins from genome-wide experimental OMICS data
por: Kaushik, Aman Chandra, et al.
Publicado: (2020)

Use of an artificial neural network to predict persistent organ failure in patients with acute pancreatitis
por: Hong, Wan-dong, et al.
Publicado: (2013)

Characterization of rifampicin-resistant Mycobacterium tuberculosis in Khyber Pakhtunkhwa, Pakistan
por: Khan, Anwar Sheed, et al.
Publicado: (2021)

Co‐crystal Prediction by Artificial Neural Networks
por: Devogelaer, Jan‐Joris, et al.
Publicado: (2020)

Application of artificial neural network in predicting EI
por: Allahyari, Elahe
Publicado: (2020)

Artificial Neural Networks for the Prediction of Monkeypox Outbreak
por: Manohar, Balakrishnama, et al.
Publicado: (2022)

Modeling of Cu(II) Adsorption from an Aqueous Solution Using an Artificial Neural Network (ANN)
por: Khan, Taimur, et al.
Publicado: (2020)

Genomic characteristics of Mycobacterium tuberculosis isolates of cutaneous tuberculosis
por: Mei, You-Ming, et al.
Publicado: (2023)

Evaluation of anti-EGFR-iRGD recombinant protein with GOLD nanoparticles: synergistic effect on antitumor efficiency using optimized deep neural networks
por: Chandra Kaushik, Aman, et al.
Publicado: (2019)

A united model for diagnosing pulmonary tuberculosis with random forest and artificial neural network
por: Zhu, Qingqing, et al.
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_pngtpn11b2cc4edigjpdiul4j2