A New Clustering Approach for Anomaly Intrusion Detection
Nidhi Bhavsar, Khushbu Yadav, Darshanaben Dipakkumar Pandya
2024International Journal of Scientific Research in Science and Technology25 citationsDOIOpen Access PDF
Abstract
This study looks into the possibilities and related challenges of using artificial intelligence (AI) to identify cancer. AI technologies have become attractive tools in oncology because of the growing complexity of medical data and the need for precise and timely cancer diagnosis. In reviewing the state of AI applications for cancer detection today, the paper focuses on biomarker analysis, medical imaging, and biomarker analysis. Additionally continuing conversation on how to use technology to improve cancer diagnostics' efficiency and accuracy while maintaining ethical norms and patient safety.
Topics & Concepts
Cluster analysisComputer scienceAnomaly detectionIntrusion detection systemBiomarkerConversationData scienceCancerCancer detectionArtificial intelligenceMedicinePsychologyInternal medicineBiochemistryCommunicationChemistryNetwork Security and Intrusion DetectionAnomaly Detection Techniques and ApplicationsAdvanced Malware Detection Techniques