Predicting patient experience of Invisalign treatment: An analysis using artificial neural network
Xu Lin, Mei Li, Lu Ruiqi, Li Yuan, Li Hanshi, Li Yu,
소속 상세정보
( Xu Lin ) - Sichuan University West China Hospital of Stomatology Department of Orthodontics
( Mei Li ) - University of Otago Faculty of Dentistry Department of Oral Sciences
( Lu Ruiqi ) - Tsinghua University Department of Electronic Engineering
( Li Yuan ) - Sichuan University West China Hospital of Stomatology Department of Orthodontics
( Li Hanshi ) - Sichuan University West China Hospital of Stomatology Department of Orthodontics
( Li Yu ) - Sichuan University West China Hospital of Stomatology Department of Orthodontics
Abstract
Objective: Poor experience with Invisalign treatment affects patient compliance and, thus, treatment outcome. Knowing the potential discomfort level in advance can help orthodontists better prepare the patient to overcome the difficult stage. This study aimed to construct artificial neural networks (ANNs) to predict patient experience in the early stages of Invisalign treatment.
Methods: In total, 196 patients were enrolled. Data collection included questionnaires on pain, anxiety, and quality of life (QoL). A four-layer fully connected multilayer perception with three backpropagations was constructed to predict patient experience of the treatment. The input data comprised 17 clinical features. The partial derivative method was used to calculate the relative contributions of each input in the ANNs.
Results: The predictive success rates for pain, anxiety, and QoL were 87.7%, 93.4%, and 92.4%, respectively. ANNs for predicting pain, anxiety, and QoL yielded areas under the curve of 0.963, 0.992, and 0.982, respectively. The number of teeth with lingual attachments was the most important factor affecting the outcome of negative experience, followed by the number of lingual buttons and upper incisors with attachments.
Conclusions: The constructed ANNs in this preliminary study show good accuracy in predicting patient experience (i.e., pain, anxiety, and QoL) of Invisalign treatment. Artificial intelligence system developed for predicting patient comfort has potential for clinical application to enhance patient compliance.
키워드
Computer algorithm; Pain; Compliance; Aligners
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