Noninvasive prediction of metastasis in esophageal cancer using ensemble-based feature selection

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Cite
Aalam, Syed Wajid, et al. “Noninvasive Prediction of Metastasis in Esophageal Cancer Using Ensemble-Based Feature Selection”. International Journal of System Assurance Engineering and Management, 2024, https://doi.org/10.1007/s13198-024-02327-6.
Aalam, S. W., Ahanger, A. B., Assad, A., Macha, M. A., & Bhat, M. R. (2024). Noninvasive prediction of metastasis in esophageal cancer using ensemble-based feature selection. International Journal of System Assurance Engineering and Management. https://doi.org/10.1007/s13198-024-02327-6
Aalam, Syed Wajid, Ab Basit Ahanger, Assif Assad, Muzafar A. Macha, and Muzafar Rasool Bhat. “Noninvasive Prediction of Metastasis in Esophageal Cancer Using Ensemble-Based Feature Selection”. International Journal of System Assurance Engineering and Management, 2024. https://doi.org/10.1007/s13198-024-02327-6.
Aalam SW, Ahanger AB, Assad A, Macha MA, Bhat MR. Noninvasive prediction of metastasis in esophageal cancer using ensemble-based feature selection. International Journal of System Assurance Engineering and Management. 2024;.
Journal Category
Technology
Engineering (General)
Civil engineering (General)
Refrences
Title Journal Journal Categories Citations Publication Date
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  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
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Feature importance feedback with Deep Q process in ensemble-based metaheuristic feature selection algorithms

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Refrences Analysis
Category Category Repetition
Medicine: Medicine (General)23
Medicine: Internal medicine: Neoplasms. Tumors. Oncology. Including cancer and carcinogens20
Medicine: Internal medicine: Neurosciences. Biological psychiatry. Neuropsychiatry12
Science: Mathematics: Instruments and machines: Electronic computers. Computer science9
Medicine3
Science3
Science: Science (General)3
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware3
Technology: Mechanical engineering and machinery2
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics2
Medicine: Internal medicine2
Medicine: Internal medicine: Specialties of internal medicine: Diseases of the endocrine glands. Clinical endocrinology2
Science: Science (General): Cybernetics: Information theory2
Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software2
Medicine: Internal medicine: Specialties of internal medicine: Immunologic diseases. Allergy2
Medicine: Internal medicine: Specialties of internal medicine: Diseases of the respiratory system1
Medicine: Medicine (General): Medical technology1
Technology: Home economics: Nutrition. Foods and food supply1
Medicine: Internal medicine: Specialties of internal medicine: Nutritional diseases. Deficiency diseases1
Medicine: Public aspects of medicine1
Medicine: Nursing1
Medicine: Surgery1
Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks1
Medicine: Internal medicine: Specialties of internal medicine: Diseases of the digestive system. Gastroenterology1
Technology: Engineering (General). Civil engineering (General)1
The category Medicine: Medicine (General) 23 is the most frequently represented among the references in this article. It primarily includes studies from Frontiers in Neuroscience and Cancer. The chart below illustrates the number of referenced publications per year.
Refrences used by this article by year