Revolutionize Infectious Prevention Using Artificial Intelligence and Deep Learning DOI
Dinesh Verma, Shweta Singh,

Shivendra Dubey

et al.

Communications in computer and information science, Journal Year: 2024, Volume and Issue: unknown, P. 334 - 345

Published: Oct. 17, 2024

Language: Английский

SPM4GAC: SPM based approach for genome analysis and classification of macromolecules DOI
M. Saqib Nawaz, Philippe Fournier‐Viger, Shoaib Nawaz

et al.

International Journal of Biological Macromolecules, Journal Year: 2024, Volume and Issue: 266, P. 130984 - 130984

Published: March 19, 2024

Language: Английский

Citations

6
FSP4HSP: Frequent sequential patterns for the improved classification of heat shock proteins, their families, and sub-types DOI
M. Saqib Nawaz, Philippe Fournier‐Viger, Shoaib Nawaz

et al.

International Journal of Biological Macromolecules, Journal Year: 2024, Volume and Issue: 277, P. 134147 - 134147

Published: July 24, 2024

Language: Английский

Citations

3
Unlocking IoT and Machine Learning’s Potential for Water Quality Assessment: An Extensive Analysis and Future Directions DOI

Shivendra Dubey,

Sakshi Dubey,

Kapil Raghuwanshi

et al.

Water Conservation Science and Engineering, Journal Year: 2025, Volume and Issue: 10(1)

Published: Feb. 7, 2025

Language: Английский

Citations

0
Identification of Unique Genomic Signatures in Viral Immunogenic Syndrome (VIS) Using FIMAR and FCSM Methods for Development of Effective Diagnostic and Therapeutic Strategies DOI Open Access

DUBEY Shivendra,

VERMA Dinesh Kumar,

Karthik Mahesh

et al.

ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH, Journal Year: 2024, Volume and Issue: 58(2/2024), P. 165 - 181

Published: June 12, 2024

The "Viral Immunogenic Syndrome" (VIS) incorporates the concepts of "viral" and "immunogenic" to emphasise pathogenic character illness immunological response it generates, as well word "syndrome" describe broad set symptoms consequences.Our research focused on analyzing COVID-19 genome sequence using a proposed framework improve computation time model efficiency.We also aimed identify frequent patterns, missing indices, variations in while comparing performance with varying minimum support existing models.We used FCSM classify genomic sequences detect calculating time.Additionally, we novel utilizing FIMAR nucleotide compute consecutive sets, resulting more efficient accurate approach than methods.Our study shows that algorithms is 94.34% system for computing sequence.We identified 0.2% 1.61% variation USA China datasets, respectively, which failed detect.Additionally, conducted comparative an Apriori methods patterns.In this work, present analysis substitution rate at each isolation step.

Language: Английский

Citations

2
Real-time infectious disease endurance indicator system for scientific decisions using machine learning and rapid data processing DOI Creative Commons

Shivendra Dubey,

Dinesh Verma, Mahesh Kumar

et al.

PeerJ Computer Science, Journal Year: 2024, Volume and Issue: 10, P. e2062 - e2062

Published: July 30, 2024

The SARS-CoV-2 virus, which induces an acute respiratory illness commonly referred to as COVID-19, had been designated a pandemic by the World Health Organization due its highly infectious nature and associated public health risks it poses globally. Identifying critical factors for predicting mortality is essential improving patient therapy. Unlike other data types, such computed tomography scans, x-radiation, ultrasounds, basic blood test results are widely accessible can aid in mortality. present research advocates utilization of machine learning (ML) methodologies likelihood disease like COVID-19 leveraging data. Age, LDH (lactate dehydrogenase), lymphocytes, neutrophils, hs-CRP (high-sensitivity C-reactive protein) five extremely potent characteristics that, when combined, accurately predict 96% cases. By combining XGBoost feature importance with neural network classification, optimal approach exceptional accuracy from disease, along achieving precision rate 90% up 16 days before event. studies suggested model’s excellent predictive performance practicality were confirmed through testing three instances that depended on outcome. carefully analyzing identifying patterns these significant biomarkers insightful information has obtained simple application. This study offers potential remedies could accelerate decision-making targeted medical treatments within healthcare systems, utilizing timely, accurate, reliable method.

Language: Английский

Citations

2
Generic Framework of New Era Artificial Intelligence and Its Applications DOI

Brij Mohan Sharma,

Dinesh Verma,

Kapil Raghuwanshi

et al.

Communications in computer and information science, Journal Year: 2024, Volume and Issue: unknown, P. 149 - 163

Published: Jan. 1, 2024

Language: Английский

Citations

1
Uncovering AI Potential Techniques for Infectious Disease: A Comprehensive Exploration of Surveying, Classifying, and Predicting Models DOI

Shivendra Dubey,

Dinesh Verma, Mahesh Kumar

et al.

Communications in computer and information science, Journal Year: 2024, Volume and Issue: unknown, P. 167 - 177

Published: Jan. 1, 2024

Language: Английский

Citations

0
Exploring the Molecular Diversity of SARS, Ebola, MERS, and SAR-COV-2 Viruses Using Genomics Virus Classification Algorithm: ViroGen DOI

Shivendra Dubey,

Dinesh Kumar Verma, Mahesh Kumar

et al.

Communications in computer and information science, Journal Year: 2024, Volume and Issue: unknown, P. 164 - 172

Published: Jan. 1, 2024

Language: Английский

Citations

0
Revolutionize Infectious Prevention Using Artificial Intelligence and Deep Learning DOI
Dinesh Verma, Shweta Singh,

Shivendra Dubey

et al.

Communications in computer and information science, Journal Year: 2024, Volume and Issue: unknown, P. 334 - 345

Published: Oct. 17, 2024

Language: Английский

Citations

0