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For: Mustafa A, Rahimi azghadi M. Automated Machine Learning for Healthcare and Clinical Notes Analysis. Computers 2021;10:24. [DOI: 10.3390/computers10020024] [Cited by in Crossref: 25] [Cited by in F6Publishing: 25] [Article Influence: 25.0] [Reference Citation Analysis]
Number Citing Articles
1 Mcheick H, Ezzeddine F, Lakkis F, Msheik B, Ezzeddine M. Tantrum-Track: Context and Ontological Representation Model for Recommendation and Tracking Services for People with Autism. Lecture Notes in Networks and Systems 2023. [DOI: 10.1007/978-3-031-16075-2_46] [Reference Citation Analysis]
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7 Yousif SA, Samawi VW, Al-saidi NM. Automatic Machine Learning Classification Algorithms for Stability Detection of Smart Grid. 2022 IEEE 5th International Conference on Big Data and Artificial Intelligence (BDAI) 2022. [DOI: 10.1109/bdai56143.2022.9862710] [Reference Citation Analysis]
8 Natarajan K, Gautam A, Somisetty P, Venigalla R, Jhansi Lekha V. Medical Information Modeling for Diabetes Based on Logistic Regression. Advances in Healthcare Information Systems and Administration 2022. [DOI: 10.4018/978-1-6684-4580-8.ch015] [Reference Citation Analysis]
9 Gupta N, Sharma S, Juneja P, Garg U. A Network Data Analytic Technique in a 5G-IoT-Based Smart Healthcare System Using Machine Learning. Advances in Computer and Electrical Engineering 2022. [DOI: 10.4018/978-1-6684-3855-8.ch003] [Reference Citation Analysis]
10 Pollayi H, Rao P. Development of Machine Learning Models for Healthcare Systems Using Python. Advances in Medical Technologies and Clinical Practice 2022. [DOI: 10.4018/978-1-6684-3791-9.ch007] [Reference Citation Analysis]
11 Saranya SS, Sabiyath Fatima N. Parameter Tuned Unsupervised Fuzzy Deep Learning for Clinical Data Classification. 2022 International Conference on Electronic Systems and Intelligent Computing (ICESIC) 2022. [DOI: 10.1109/icesic53714.2022.9783488] [Reference Citation Analysis]
12 Agarwal A, Das A, Bansal RK. Predictive Healthcare Web Analytics Using Machine Learning. Advances in Medical Education, Research, and Ethics 2022. [DOI: 10.4018/978-1-7998-9490-2.ch007] [Reference Citation Analysis]
13 Javaid M, Haleem A, Pratap Singh R, Suman R, Rab S. Significance of machine learning in healthcare: Features, pillars and applications. International Journal of Intelligent Networks 2022;3:58-73. [DOI: 10.1016/j.ijin.2022.05.002] [Cited by in Crossref: 3] [Cited by in F6Publishing: 4] [Article Influence: 3.0] [Reference Citation Analysis]
14 Selvakkumar A, Pal S, Jadidi Z. Addressing Adversarial Machine Learning Attacks in Smart Healthcare Perspectives. Sensing Technology 2022. [DOI: 10.1007/978-3-030-98886-9_21] [Reference Citation Analysis]
15 Chandru AS, Seetharam K. Novel and Simplified Predictive Computational Model for Clinical Diagnosis on Complex Medical Information. Software Engineering Perspectives in Systems 2022. [DOI: 10.1007/978-3-031-09070-7_33] [Reference Citation Analysis]
16 Garouani M, Hamlich M, Ahmad A, Bouneffa M, Bourguin G, Lewandowski A. Toward an Automatic Assistance Framework for the Selection and Configuration of Machine Learning Based Data Analytics Solutions in Industry 4.0. Proceedings of the 5th International Conference on Big Data and Internet of Things 2022. [DOI: 10.1007/978-3-031-07969-6_1] [Reference Citation Analysis]
17 Zhang J. Artificial Intelligence and Machine Learning Algorithm Optimization Applied in Health Big Data Digitization. 2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture 2021. [DOI: 10.1145/3495018.3501124] [Reference Citation Analysis]
18 Celesti A, De Falco I, Galletta A, Sannino G. Artificial Intelligence for Health. Computers 2021;10:100. [DOI: 10.3390/computers10080100] [Reference Citation Analysis]
19 Liu L, Yu H, Sun G. Reconfigurable Aggregation Tree for Distributed Machine Learning in Optical WAN. 2021 3rd International Conference on Applied Machine Learning (ICAML) 2021. [DOI: 10.1109/icaml54311.2021.00051] [Reference Citation Analysis]
20 Lagerev D, Korsakov A, Zakharova A. Exploratory Analysis of Biomedical Data in Order to Construct Intelligent Analytical Models for Assessing the Risk of Cancer. Proceedings of the 31th International Conference on Computer Graphics and Vision. Volume 2 2021. [DOI: 10.20948/graphicon-2021-3027-917-929] [Reference Citation Analysis]
21 Veladas R, Yang H, Quaresma P, Gonçalves T, Vieira R, Sousa Pinto C, Martins JP, Oliveira J, Cortes Ferreira M. Aiding Clinical Triage with Text Classification. Progress in Artificial Intelligence 2021. [DOI: 10.1007/978-3-030-86230-5_7] [Reference Citation Analysis]