ArticleBMC oral health2024
Light gradient boosting-based prediction of quality of life among oral cancer-treated patients.
Article in BMC oral health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.
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Who cites it
18 citing papers in PubMed, 1 synthesis or guideline pooled it, 45 citations in OpenAlex.
- Impact of Oncological Treatment on Quality of Life in Patients with Head and Neck Malignancies: A Systematic Literature Review (2020-2025).Current oncology (Toronto, Ont.) · 2025Pooled it
- C-X-C chemokine receptor type 4 (CXCR4) antagonism in precision oncology: Clinical applications and future directions.Cancer pathogenesis and therapy · 2026Review
- Development and validation of a machine learning-based model to predict the risk of hospitalization death in hospitalized patients with AECOPD.Scientific reports · 2025Article
- Eighty-Four-Month Clinical Outcomes of Autologous Dentin Graft Using Tooth TransformerJournal of functional biomaterials · 2025Article
- Evaluation of Surgical Protocols for Speech Improvement in Children with Cleft Palate: A Systematic Review and Case Series.Bioengineering (Basel, Switzerland) · 2025Review
- Design and analysis of TwinCardio framework to detect and monitor cardiovascular diseases using digital twin and deep neural network.Scientific reports · 2025Article
- A machine learning-based risk prediction model for diabetic oral ulceration.BMC oral health · 2025Article
- Early Detection of Fetal Health Conditions Using Machine Learning for Classifying Imbalanced Cardiotocographic Data.Diagnostics (Basel, Switzerland) · 2025Article
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- Machine learning for predicting distant metastasis in nasopharyngeal carcinoma patients.Frontiers in immunology · 2025Article
- Molecular insight into histone methylation as a novel target for oral squamous cell carcinoma: future hope in personalised medicine.Journal of Cancer · 2025Review
- Article
- Assessment of the quality of oral squamous cell carcinoma clinical records in oral surgery with Surgical Tool for Auditing Records (STAR) scoring.BMC oral health · 2024Article
- Article
- Longitudinal Assessment of the Quality of Life in Oral Squamous Cell Carcinoma Patients.Cureus · 2024Article
- Automated Analysis of Nuclear Parameters in Oral Exfoliative Cytology Using Machine Learning.Cureus · 2024Article
- Tomatidine suppresses PI3K/Akt signaling to induce apoptosis in oral squamous cell carcinoma: An in vitro and molecular docking study.Journal of oral biology and craniofacial researchArticle
- Comparing gradient boosting and neural networks in the prediction of intersecting genes in gingival epithelial immunity.Journal of Indian Society of PeriodontologyArticle
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Authors and funding
8 authors at 5 institutions in 5 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND AND
introductionStatisticians rank oral and lip cancer sixth in global mortality at 10.2%. Mouth opening and swallowing are challenging. Hence, most oral cancer patients only report later stages. They worry about surviving cancer and receiving therapy. Oral cancer severely affects QOL. QOL is affected by risk factors, disease site, and treatment. Using oral cancer patient questionnaires, we use light gradient Boost Tree classifiers to predict life quality.
methodsDIAS records were used for 111 oral cancer patients. The European Organisation for Research and Treatment of Cancer's QLQ-C30 and QLQ-HN43 were used to document the findings. Anyone could enroll, regardless of gender or age. The IHEC/SDC/PhD/OPATH-1954/19/TH-001 Institutional Ethical Clearance Committee approved this work. After informed consent, patients received the EORTC QLQ-C30 and QLQ-HN43 questionnaires. Surveys were in Tamil and English. Overall, QOL ratings covered several domains. We obtained patient demographics, case history, and therapy information from our DIAS (Dental Information Archival Software). Enrolled patients were monitored for at least a year. After one year, the EORTC questionnaire was retaken, and scores were recorded. This prospective analytical exploratory study at Saveetha Dental College, Chennai, India, examined QOL at diagnosis and at least 12 months after primary therapy in patients with histopathologically diagnosed oral malignancies. We measured oral cancer patients' quality of life using data preprocessing, feature selection, and model construction. A confusion matrix was created using light gradient boosting to measure accuracy.
resultsLight gradient boosting predicted cancer patients' quality of life with 96% accuracy and 0.20 log loss.
conclusionOral surgeons and oncologists can improve planning and therapy with this prediction model.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.