Journal Article

·2023 OPEN ACCESS

MO71-7 Extensive analysis of machine learning algorithms in predicting the treatment outcome of HIFU ablation of adenomyosis

Emine Akpinar YTU , Chandran Nadarajan , Nguyễn Minh Đức , Bilgin Keserci YTU

Annals of Oncology

No open-access abstract is available for this article. Use the DOI link on the right to read the full text.

Keywords

Quadratic classifier Margin classifier Artificial intelligence Classifier (UML) Naive Bayes classifier Support vector machine Pattern recognition (psychology) Bayes classifier Random forest Machine learning Linear discriminant analysis Decision tree Gradient boosting Computer science

Subject Areas

Bone health and osteoporosis research ·Orthopedics and Sports Medicine ·Health Sciences
Radiomics and Machine Learning in Medical Imaging ·Radiology, Nuclear Medicine and Imaging ·Health Sciences
Connective Tissue Growth Factor Research ·Molecular Biology ·Life Sciences

OpenAlex SDG Match

SDGs auto-classified by OpenAlex (score ≥ 0.4 shown).

Good health and well-being 44%