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Breast Cancer Prediction Using Machine Learning and Image Processing Optimization

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The Effect of Information Technology on Business and Marketing Intelligence Systems

Part of the book series: Studies in Computational Intelligence ((SCI,volume 1056))

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Abstract

In this study, it is wanted to implement Naïve Bayes data mining techniques on a dataset gained from digitized Image of fine needle aspirate (or FNA) belonged to benign and malignant type of breast tumors. One of the most important factors causing cancers in the females, which can be measured from sample after maintaining in several hours’ laboratory sample preparation at certain condition. As an alternative, Image processing can be substituted by measuring the geometrical features of FNA are well adopted economically and efficiently.

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References

  • Akhtar, A., Akhtar, S., Bakhtawar, B., Kashif, A. A., Aziz, N., & Javeid, M. S. (2021). COVID-19 detection from CBC using machine learning techniques. International Journal of Technology, Innovation and Management (IJTIM), 1(2), 65–78. https://doi.org/10.54489/ijtim.v1i2.22

  • Akour, I., Alshurideh, M., Al Kurdi, B., Al Ali, A., & Salloum, S. (2021). Using machine learning algorithms to predict people’s intention to use mobile learning platforms during the COVID-19 pandemic: Machine learning approach. JMIR Medical Education, 7(1), 1–17.

    Article  Google Scholar 

  • Al-Dmour, N. (2016). Using unstructured search algorithms for data collection in IoT-based WSN. International Journal of Engineering Research and Technology. ISSN, 974–3154.

    Google Scholar 

  • Al-Dmour, N. A., & Teahan, W. J. (2005). Peer-to-peer protocols for resource discovery in the Grid. Parallel and Distributed Computing and Networks, 319–324.

    Google Scholar 

  • Al-Hamadi, H., Gawanmeh, A., & Al-Qutayri, M. (2015). An automatic ECG generator for testing and evaluating ECG sensor algorithms. In 2015 10th International Design & Test Symposium (IDT) (pp. 78–83).

    Google Scholar 

  • Al-Hamadi, H., Nasir, N., Yeun, C. Y., & Damiani, E. (2021). A verified protocol for secure autonomous and cooperative public transportation in smart cities. IEEE International Conference on Communications Workshops (ICC Workshops), 2021, 1–6.

    Google Scholar 

  • Al-Naymat, G., Hussain, H., Al-Kasassbeh, M., & Al-Dmour, N. (2021). Accurate detection of network anomalies within SNMP-MIB data set using deep learning. International Journal of Computer Applications in Technology, 66(1), 74–85.

    Article  Google Scholar 

  • Al Ali, A. (2021). The impact of information sharing and quality assurance on customer service at UAE banking sector. International Journal of Technology, Innovation and Management (IJTIM), 1(1), 01–17. https://doi.org/10.54489/ijtim.v1i1.10

  • Al Hamadi, H., Gawanmeh, A., & Al-Qutayri, M. (2017). Guided test case generation for enhanced ECG bio-sensors functional verification. International Journal of E-Health and Medical Communications (IJEHMC), 8(4), 1–20.

    Google Scholar 

  • Al Kurdi, B., Alshurideh, M., Nuseir, M., Aburayya, A., & Salloum, S. A. (2021). The effects of subjective norm on the intention to use social media networks: An exploratory study using PLS-SEM and machine learning approach. In Advances in intelligent systems and computing (Vol. 1339). https://doi.org/10.1007/978-3-030-69717-4_55

  • Al Neaimi, M., Al Hamadi, H., Yeun, C. Y., & Zemerly, M. J. (2020). Digital forensic analysis of files using deep learning. In 2020 3rd International Conference on Signal Processing and Information Security (ICSPIS) (pp. 1–4).

    Google Scholar 

  • AlHamad, A., Alshurideh, M., Alomari, K., Kurdi, B., Alzoubi, H., Hamouche, S., & Al-Hawary, S. (2022). The effect of electronic human resources management on organizational health of telecommunications companies in Jordan. International Journal of Data and Network Science, 6(2), 429–438.

    Article  Google Scholar 

  • Alhamad, A. Q. M., Akour, I., Alshurideh, M., Al-Hamad, A. Q., Kurdi, B. A., & Alzoubi, H. (2021). Predicting the intention to use google glass: A comparative approach using machine learning models and PLS-SEM. International Journal of Data and Network Science, 5(3). https://doi.org/10.5267/j.ijdns.2021.6.002

  • Ali, L., & Dmour, N. (2021). The shift to online assessment due to COVID-19: An empirical study of university students, behaviour and performance, in the region of UAE. International Journal of Information and Education Technology, 11(5), 220–228.

    Article  Google Scholar 

  • Ali, N., Ahmed, A., Anum, L., Ghazal, T. M., Abbas, S., Khan, M. A., Alzoubi, H. M., & Ahmad, M. (2021). Modelling supply chain information collaboration empowered with machine learning technique. Intelligent Automation and Soft Computing, 30(1), 243–257. https://doi.org/10.32604/iasc.2021.018983

  • Ali, N., Ghazal, M. T., Ahmed, A., Abbas, S., A. Khan, M., Alzoubi, H., Farooq, U., Ahmad, M., & Adnan Khan, M. (2022). Fusion-based supply chain collaboration using machine learning techniques. Intelligent Automation & Soft Computing, 31(3), 1671–1687. https://doi.org/10.32604/iasc.2022.019892

  • Alnazer, N. N., Alnuaimi, M. A., & Alzoubi, H. M. (2017). Analysing the appropriate cognitive styles and its effect on strategic innovation in Jordanian universities. International Journal of Business Excellence, 13(1), 127–140. https://doi.org/10.1504/IJBEX.2017.085799

    Article  Google Scholar 

  • Alnuaimi, M., Alzoubi, H. M., Ajelat, D., & Alzoubi, A. A. (2021). Towards intelligent organisations: An empirical investigation of learning orientation’s role in technical innovation. International Journal of Innovation and Learning, 29(2), 207–221. https://doi.org/10.1504/IJIL.2021.112996

    Article  Google Scholar 

  • Alsharari, N. (2021). Integrating blockchain technology with internet of things to efficiency. International Journal of Technology, Innovation and Management (IJTIM), 1(2), 1–13.

    Google Scholar 

  • Alshurideh, M., Al Kurdi, B., Salloum, S. A., Arpaci, I., & Al-Emran, M. (2020a). Predicting the actual use of m-learning systems: A comparative approach using PLS-SEM and machine learning algorithms. Interactive Learning Environments. https://doi.org/10.1080/10494820.2020.1826982

    Article  Google Scholar 

  • Alshurideh, M., Gasaymeh, A., Ahmed, G., Alzoubi, H., & Kurd, B. A. (2020b). Loyalty program effectiveness: Theoretical reviews and practical proofs. Uncertain Supply Chain Management, 8(3). https://doi.org/10.5267/j.uscm.2020.2.003

  • Alshurideh, M. T., Al Kurdi, B., Alzoubi, H. M., Ghazal, T. M., Said, R. A., AlHamad, A. Q., Hamadneh, S., Sahawneh, N., & Al-kassem, A. H. (2022). Fuzzy assisted human resource management for supply chain management issues. Annals of Operations Research, 1–19.

    Google Scholar 

  • Alzoubi, A. (2021a). The impact of process quality and quality control on organizational competitiveness at 5-star hotels in Dubai. International Journal of Technology, Innovation and Management (IJTIM), 1(1), 54–68. https://doi.org/10.54489/ijtim.v1i1.14

  • Alzoubi, A. (2021b). Renewable green hydrogen energy impact on sustainability performance. International Journal of Computations, Information and Manufacturing (IJCIM), 1(1), 94–110. https://doi.org/10.54489/ijcim.v1i1.46

  • Alzoubi, H. M., & Aziz, R. (2021). Does emotional intelligence contribute to quality of strategic decisions? The mediating role of open innovation. Journal of Open Innovation: Technology, Market, and Complexity, 7(2), 130. https://doi.org/10.3390/joitmc7020130

    Article  Google Scholar 

  • Alzoubi, H. M., Vij, M., Vij, A., & Hanaysha, J. R. (2021). What leads guests to satisfaction and loyalty in UAE five-star hotels? AHP analysis to service quality dimensions. Enlightening Tourism, 11(1), 102–135. https://doi.org/10.33776/et.v11i1.5056

  • Alzoubi, H. M., & Yanamandra, R. (2020). Investigating the mediating role of information sharing strategy on agile supply chain. Uncertain Supply Chain Management, 8(2), 273–284. https://doi.org/10.5267/j.uscm.2019.12.004

    Article  Google Scholar 

  • Alzoubi, H., & Ahmed, G. (2019). Do TQM practices improve organisational success? A case study of electronics industry in the UAE. International Journal of Economics and Business Research, 17(4), 459–472. https://doi.org/10.1504/IJEBR.2019.099975

    Article  Google Scholar 

  • Alzoubi, H., Ahmed, G., Al-Gasaymeh, A., & Kurdi, B. (2020a). Empirical study on sustainable supply chain strategies and its impact on competitive priorities: The mediating role of supply chain collaboration. Management Science Letters, 10(3), 703–708.

    Article  Google Scholar 

  • Alzoubi, H., Alshurideh, M., Kurdi, B., Akour, I., & Aziz, R. (2022). Does BLE technology contribute towards improving marketing strategies, customers’ satisfaction and loyalty? The role of open innovation. International Journal of Data and Network Science, 6(2), 449–460.

    Article  Google Scholar 

  • Alzoubi, H., Alshurideh, M., Kurdi, B. A., & Inairat, M. (2020b). Do perceived service value, quality, price fairness and service recovery shape customer satisfaction and delight? A practical study in the service telecommunication context. Uncertain Supply Chain Management, 8(3), 579–588. https://doi.org/10.5267/j.uscm.2020.2.005

    Article  Google Scholar 

  • Aslam, M. S., Ghazal, T. M., Fatima, A., Said, R. A., Abbas, S., Khan, M. A., Siddiqui, S. Y., & Ahmad, M. (2021). Energy-efficiency model for residential buildings using supervised machine learning algorithm.

    Google Scholar 

  • Aziz, N., & Aftab, S. (2021). Data mining framework for nutrition ranking: Methodology: SPSS modeller. International Journal of Technology, Innovation and Management (IJTIM), 1(1), 85–95.

    Google Scholar 

  • Bibi, R., Saeed, Y., Zeb, A., Ghazal, T. M., Rahman, T., Said, R. A., Abbas, S., Ahmad, M., & Khan, M. A. (2021). Edge AI-based automated detection and classification of road anomalies in VANET using deep learning. Computational Intelligence and Neuroscience, 2021.

    Google Scholar 

  • Cruz, A. (2021). Convergence between blockchain and the internet of things. International Journal of Technology, Innovation and Management (IJTIM), 1(1), 35–56.

    Google Scholar 

  • Eli, T. (2021). Students perspectives on the use of innovative and interactive teaching methods at the University of Nouakchott Al Aasriya, Mauritania: English Department as a case study. International Journal of Technology, Innovation and Management (IJTIM), 1(2), 90–104.

    Google Scholar 

  • Farouk, M. (2021). The universal artificial intelligence efforts to face coronavirus COVID-19. International Journal of Computations, Information and Manufacturing (IJCIM), 1(1), 77–93. https://doi.org/10.54489/ijcim.v1i1.47

  • Ghazal, T. M. (2021). Internet of things with artificial intelligence for health care security. Arabian Journal for Science and Engineering, 1–12.

    Google Scholar 

  • Ghazal, T. M., Hasan, M. K., Alshurideh, M. T., Alzoubi, H. M., Ahmad, M., Akbar, S. S., Al Kurdi, B., & Akour, I. A. (2021). IoT for smart cities: Machine learning approaches in smart healthcare—A review. Future Internet, 13(8), 218. https://doi.org/10.3390/fi13080218

    Article  Google Scholar 

  • Guergov, S., & Radwan, N. (2021). Blockchain convergence: Analysis of issues affecting IoT, AI and blockchain. International Journal of Computations, Information and Manufacturing (IJCIM), 1(1), 1–17. https://doi.org/10.54489/ijcim.v1i1.48

  • Hamadneh, S., Pedersen, O., & Al Kurdi, B. (2021). An investigation of the role of supply chain visibility into the Scottish bood supply chain. Journal of Legal, Ethical and Regulatory Issues, 24(Special Issue 1), 1–12.

    Google Scholar 

  • Hanaysha, J. R., Al-Shaikh, M. E., Joghee, S., & Alzoubi, H. (2021a). Impact of innovation capabilities on business sustainability in small and medium enterprises. FIIB Business Review, 1–12. https://doi.org/10.1177/23197145211042232

  • Hanaysha, J. R., Al Shaikh, M. E., & Alzoubi, H. M. (2021b). Importance of marketing mix elements in determining consumer purchase decision in the retail market. International Journal of Service Science, Management, Engineering, and Technology (IJSSMET), 12(6), 56–72.

    Google Scholar 

  • Hejazi, H. D., Khamees, A. A., Alshurideh, M., & Salloum, S. A. (2021). Arabic text generation: Deep learning for poetry synthesis. In Advances in intelligent systems and computing (Vol. 1339). https://doi.org/10.1007/978-3-030-69717-4_11

  • Joghee, S., Alzoubi, H. M., & Dubey, A. R. (2020). Decisions effectiveness of FDI investment biases at real estate industry: Empirical evidence from Dubai smart city projects. International Journal of Scientific and Technology Research, 9(3), 3499–3503.

    Google Scholar 

  • Kashif, A. A., Bakhtawar, B., Akhtar, A., Akhtar, S., Aziz, N., & Javeid, M. S. (2021). Treatment response prediction in hepatitis C patients using machine learning techniques. International Journal of Technology, Innovation and Management (IJTIM), 1(2), 79–89. https://doi.org/10.54489/ijtim.v1i2.24

  • Khamees, A. A., Hejazi, H. D., Alshurideh, M., & Salloum, S. A. (2021a). Classifying audio music genres using a multilayer sequential model. In Advances in intelligent systems and computing (Vol. 1339). https://doi.org/10.1007/978-3-030-69717-4_30

  • Khamees, A. A., Hejazi, H. D., Alshurideh, M., & Salloum, S. A. (2021b). Classifying audio music genres using CNN and RNN. In Advances in intelligent systems and computing (Vol. 1339). https://doi.org/10.1007/978-3-030-69717-4_31

  • Khan, M. A. (2021). Challenges facing the application of IoT in medicine and healthcare. International Journal of Computations, Information and Manufacturing (IJCIM), 1(1), 39–55. https://doi.org/10.54489/ijcim.v1i1.32

  • Lee, C., & Ahmed, G. (2021). Improving IoT privacy, data protection and security concerns. International Journal of Technology, Innovation and Management (IJTIM), 1(1), 18–33. https://doi.org/10.54489/ijtim.v1i1.12

  • Lee, K., Azmi, N., Hanaysha, J., Alzoubi, H., & Alshurideh, M. (2022a). The effect of digital supply chain on organizational performance: An empirical study in Malaysia manufacturing industry. Uncertain Supply Chain Management, 10(2), 495–510.

    Article  Google Scholar 

  • Lee, K., Romzi, P., Hanaysha, J., Alzoubi, H., & Alshurideh, M. (2022b). Investigating the impact of benefits and challenges of IOT adoption on supply chain performance and organizational performance: An empirical study in Malaysia. Uncertain Supply Chain Management, 10(2), 537–550.

    Article  Google Scholar 

  • Maasmi, F., Morcos, M., Al Hamadi, H., & Damiani, E. (2021). Identifying applications’ state via system calls activity: A pipeline approach. In 2021 28th IEEE International Conference on Electronics, Circuits, and Systems (ICECS) (pp. 1–6).

    Google Scholar 

  • Mehmood, T. (2021). Does information technology competencies and fleet management practices lead to effective service delivery? Empirical evidence from E-commerce industry. International Journal of Technology, Innovation and Management (IJTIM), 1(2), 14–41.

    Google Scholar 

  • Mehmood, T., Alzoubi, H. M., & Ahmed, G. (2019). Schumpeterian entrepreneurship theory: Evolution and relevance. Academy of Entrepreneurship Journal, 25(4).

    Google Scholar 

  • Miller, D. (2021). The best practice of teach computer science students to use paper prototyping. International Journal of Technology, Innovation and Management (IJTIM), 1(2), 42–63. https://doi.org/10.54489/ijtim.v1i2.17

  • Mondol, E. P. (2021). The impact of block chain and smart inventory system on supply chain performance at retail industry. International Journal of Computations, Information and Manufacturing (IJCIM), 1(1), 56–76. https://doi.org/10.54489/ijcim.v1i1.30

  • Nuseir, M. T., Al Kurdi, B. H., Alshurideh, M. T., & Alzoubi, H. M. (2021). Gender discrimination at workplace: Do artificial intelligence (AI) and machine learning (ML) have opinions about it. The International Conference on Artificial Intelligence and Computer Vision, 301–316.

    Google Scholar 

  • Obaid, A. J. (2021). Assessment of smart home assistants as an IoT. International Journal of Computations, Information and Manufacturing (IJCIM), 1(1), 18–36. https://doi.org/10.54489/ijcim.v1i1.34

  • Radwan, N., & Farouk, M. (2021). The growth of internet of things (IoT) in the management of healthcare issues and healthcare policy development. International Journal of Technology, Innovation and Management (IJTIM), 1(1), 69–84. https://doi.org/10.54489/ijtim.v1i1.8

  • Salloum, S. A., Alshurideh, M., Elnagar, A., & Shaalan, K. (2020). Machine learning and deep learning techniques for cybersecurity: A review. In Joint European-US Workshop on Applications of Invariance in Computer Vision (pp. 50–57).

    Google Scholar 

  • Shamout, M., Ben-Abdallah, B., Alshurideh, M., Alzoubi, H., Al Kurdi, B., & Hamadneh, S. (2022). A conceptual model for the adoption of autonomous robots in supply chain and logistics industry. Uncertain Supply Chain Management, 10, 1–16.

    Article  Google Scholar 

  • Siddiqui, S. Y., Haider, A., Ghazal, T. M., Khan, M. A., Naseer, I., Abbas, S., Rahman, M., Khan, J. A., Ahmad, M., & Hasan, M. K. (2021). IoMT cloud-based intelligent prediction of breast cancer stages empowered with deep learning. IEEE Access, 9, 146478–146491.

    Article  Google Scholar 

  • Zitar, R. A. (2021). A review for the genetic algorithm and the red deer algorithm applications. In 2021 14th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI) (pp. 1–6)

    Google Scholar 

  • Zitar, R. A., Abualigah, L., & Al-Dmour, N. A. (2021). Review and analysis for the red deer algorithm. Journal of Ambient Intelligence and Humanized Computing, 1–11.

    Google Scholar 

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Author information

Authors and Affiliations

  1. Department of Computer Engineering, College of Engineering, Mutah University, Mu’tah, Jordan

    Nidal A. Al-Dmour

  2. Faculty of Management, Canadian University Dubai, Dubai, UAE

    Raed A. Said

  3. School of Business, Skyline University College, Sharjah, UAE

    Haitham M. Alzoubi

  4. Department of Marketing, School of Business, University of Jordan, Amman, Jordan

    Muhammad Alshurideh

  5. Department of Management, College of Business Administration, University of Sharjah, Sharjah, UAE

    Muhammad Alshurideh

  6. College of Engineering and Information Technology, University of Science and Technology of Fujairah, Fujairah, UAE

    Liaqat Ali

Authors
  1. Nidal A. Al-Dmour
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  2. Raed A. Said
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  3. Haitham M. Alzoubi
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  4. Muhammad Alshurideh
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  5. Liaqat Ali
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Corresponding author

Correspondence to Haitham M. Alzoubi .

Editor information

Editors and Affiliations

  1. Dept of Mngmnt, Cllg of Busness Admin, University of Sharjah, Sharjah, United Arab Emirates

    Muhammad Alshurideh

  2. Department of Business Administration, Faculty of Economics and Administrative Sciences, Hashemite University, Zarqa, Jordan

    Barween Hikmat Al Kurdi

  3. Management Information Systems Department, School of Business, University of Jordan, Aqaba, Jordan

    Ra’ed Masa’deh

  4. Skyline University College, Sharjah, United Arab Emirates

    Haitham M. Alzoubi

  5. Research Institute of Sciences and Engineering, University of Sharjah, Sharjah, United Arab Emirates

    Said Salloum

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Al-Dmour, N.A., Said, R.A., Alzoubi, H.M., Alshurideh, M., Ali, L. (2023). Breast Cancer Prediction Using Machine Learning and Image Processing Optimization. In: Alshurideh, M., Al Kurdi , B.H., Masa’deh, R., Alzoubi , H.M., Salloum, S. (eds) The Effect of Information Technology on Business and Marketing Intelligence Systems. Studies in Computational Intelligence, vol 1056. Springer, Cham. https://doi.org/10.1007/978-3-031-12382-5_113

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  • DOI: https://doi.org/10.1007/978-3-031-12382-5_113

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