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Stomatitis

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Normal tissue complication probability (NTCP) modelling using spatial dose metrics and machine learning methods for severe acute oral mucositis resulting from head and neck radiotherapy.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology 27240717
BACKGROUND AND PURPOSE: Severe acute mucositis commonly results from head and neck (chemo)radiotherapy. A predictive model of mucositis could guide clinical decision-making and inform treatment planning. We aimed to generate such a model using spatia...
Acute Disease Clinical Decision-Making Female Head and Neck Neoplasms Humans Logistic Models Machine Learning Male Models, Theoretical Probability Radiation Injuries Radiotherapy Dosage Stomatitis
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Predictive modeling for peri-implantitis by using machine learning techniques.

Scientific reports 34045590
The purpose of this retrospective cohort study was to create a model for predicting the onset of peri-implantitis by using machine learning methods and to clarify interactions between risk indicators. This study evaluated 254 implants, 127 with and 1...
Aged Dental Implants Female Humans Machine Learning Male Middle Aged Peri-Implantitis Retrospective Studies Risk Assessment Risk Factors Stomatitis
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Machine learning prediction model for oral mucositis risk in head and neck radiotherapy: a preliminary study.

Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer 39808310
PURPOSE: Oral mucositis (OM) reflects a complex interplay of several risk factors. Machine learning (ML) is a promising frontier in science, capable of processing dense information. This study aims to assess the performance of ML in predicting OM ris...
Adult Aged Aged, 80 and over Algorithms Carcinoma, Squamous Cell Decision Trees Female Head and Neck Neoplasms Humans Machine Learning Male Middle Aged Oropharyngeal Neoplasms Risk Assessment Risk Factors Sensitivity and Specificity Squamous Cell Carcinoma of Head and Neck Stomatitis
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