Machine learning to predict the occurrence of bisphosphonate-related osteonecrosis of the jaw associated with dental extraction: A preliminary report.

Journal: Bone

PMID: 29698784

Abstract

INTRODUCTION: The aim of this study was to build and validate five types of machine learning models that can predict the occurrence of BRONJ associated with dental extraction in patients taking bisphosphonates for the management of osteoporosis.

Authors

Dong Wook Kim

3 Department of Orthopedic Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Hwiyoung Kim

Department of Radiological Science, Yonsei University College of Medicine, Yonsei-ro, Seodaemun-gu, Seoul 03722, Republic of Korea. Electronic address: HYKIM82@yuhs.ac.
Woong Nam

Department of Oral and Maxillofacial Surgery, Yonsei University College of Dentistry, Seoul, Korea.
Hyung Jun Kim

National Marine Biodiversity Institute of Korea, Seocheon, Republic of Korea.
In-Ho Cha

Department of Oral & Maxillofacial Surgery, Yonsei University College of Dentistry, 50-1 Yonsei-ro, Seodaemun-gu, Seoul 03722, Republic of Korea; Oral Cancer Research Institute, Yonsei University College of Dentistry, 50-1 Yonsei-ro, Seodaemun-gu, Seoul 03722, Republic of Korea. Electronic address: CHA8764@yuhs.ac.

Keywords

Aged Area Under Curve Bisphosphonate-Associated Osteonecrosis of the Jaw Decision Trees Female Humans Machine Learning Male Neural Networks, Computer ROC Curve Support Vector Machine Tooth Extraction

External Resources

View on PubMed Access via DOI PubMed (29698784)

Machine learning to predict the occurrence of bisphosphonate-related osteonecrosis of the jaw associated with dental extraction: A preliminary report.

Abstract

Authors

Keywords

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