Machine learning and its potential applications to the genomic study of head and neck cancer—A systematic review

Author:

Patil Shankargouda12,Habib Awan Kamran3,Arakeri Gururaj4,Jayampath Seneviratne Chaminda5,Muddur Nagaraj6,Malik Shuaib7,Ferrari Marco1,Rahimi Siavash8,Brennan Peter A.9

Affiliation:

1. Department of Medical Biotechnologies, School of Dental Medicine University of Siena Siena Italy

2. Division of Oral Pathology, Department of Maxillofacial Surgery and Diagnostic Sciences, College of Dentistry Jazan University Jazan Saudi Arabia

3. College of Dental Medicine Roseman University of Health Sciences South Jordan Utah

4. Department of Maxillofacial Surgery Navodaya Dental College and Hospital Raichur Karnataka India

5. National Dental Centre Oral Health ACP, Sing Health Duke, NUS Singapore City Singapore

6. Department of Oral and Maxillofacial Surgery ESIC Dental College and Hospital Kalaburagi Karnataka India

7. Department of Oral and Maxillofacial Surgery John H. Stroger, Jr. Hospital of Cook County Chicago Illinois

8. Department of Histopathology Queen Alexandra Hospital Portsmouth UK

9. Department of Oral & Maxillofacial Surgery Queen Alexandra Hospital Portsmouth UK

Publisher

Wiley

Subject

Periodontics,Cancer Research,Otorhinolaryngology,Oral Surgery,Pathology and Forensic Medicine

Reference26 articles.

1. Hallmarks of Cancer: The Next Generation

2. Applications of Machine Learning in Cancer Prediction and Prognosis

3. Pattern Recognition and Machine Learning

4. Data mining: Practical machine learning tools and techniques, (morgan kaufmann series in data management systems);Witten IH;Morgan Kaufmann,2005

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