Trial reportSupportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer2022
Machine learning-based random forest for predicting decreased quality of life in thyroid cancer patients after thyroidectomy.
Trial report in Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- Development and testing of a random forest-based machine learning model for predicting events among breast cancer patients with a poor response to neoadjuvant chemotherapy.European journal of medical research · 2023Trial
- Causal Impact of Hemoglobin Levels on Global Quality of Life in Patients with Cancer.Journal of clinical medicine · 2026Article
- Development and Validation of Machine Learning Models for Predicting 7-Day Mortality in Critically Ill Patients with Traumatic Spinal Cord Injury: A Multicenter Retrospective Study.Neurocritical care · 2026Article
- A comparative study on advanced predictive modeling of thyroid cancer recurrence using multi algorithmic machine learning frameworks.Scientific reports · 2025Article
- Article
- Machine Learning-Based Gene Expression Analysis to Identify Prognostic Biomarkers in Upper Tract Urothelial Carcinoma.Cancers · 2025Article
- Machine Learning for Thyroid Cancer Detection, Presence of Metastasis, and Recurrence Predictions-A Scoping Review.Cancers · 2025Review
- Transparency and Representation in Clinical Research Utilizing Artificial Intelligence in Oncology: A Scoping Review.Cancer medicine · 2025Article
- Quantitative analysis of studies that use artificial intelligence on thyroid cancer: a 20-year bibliometric analysis.Frontiers in oncology · 2025Review
- Development of a machine learning-based predictive model for intraoperative hypothermia risk during radical surgery for oral cancer.American journal of translational research · 2025Article
- A Scoping Review of Patient Health-Related Quality of Life Following Surgery or Molecular Testing for Individuals with Indeterminate Thyroid Nodules.Healthcare (Basel, Switzerland) · 2024Article
- Machine Learning Approaches to Predict Symptoms in People With Cancer: Systematic Review.JMIR cancer · 2024Review
- Artificial Intelligence in Thyroidology: A Narrative Review of the Current Applications, Associated Challenges, and Future Directions.Thyroid : official journal of the American Thyroid Association · 2023Review
- Gut microbiota landscape and potential biomarker identification in female patients with systemic lupus erythematosus using machine learning.Frontiers in cellular and infection microbiology · 2023Article
- Artificial intelligence empowered digital health technologies in cancer survivorship care: A scoping review.Asia-Pacific journal of oncology nursing · 2022Article
- Using machine learning models to predict synchronous genitourinary cancers among gastrointestinal stromal tumor patients.Urology annalsArticle
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveDecreased quality of life (QoL) in thyroid cancer patients after thyroidectomy is a common, but there is a lack of predictive methods for decreased QoL. This study aimed to construct a machine learning-based random forest for predicting decreased QoL in thyroid cancer patients 3 months after thyroidectomy. MATERIALS AND
methodsTwo hundred and eighty-six thyroid cancer patients after thyroidectomy were enrolled in this prospective cross-sectional study from November 2018 to June 2019, and were randomly assigned to training and validation cohorts at a ratio of 7:3. The European Organization for Research and Treatment of Cancer quality of life questionnaire version 3 (EORTC QLQ-C30) questionnaire was used to assess the QoL 3 months after thyroidectomy, and decreased QoL was defined as EORTC QLQ-C30 < 60 points. The random forest model was constructed for predicting decreased QoL in thyroid cancer patients after thyroidectomy.
resultsThe mean QoL 3 months after thyroidectomy was 65.93 ± 9.00 with 21.33% (61/286) decreased QoL. The main manifestation is fatigue in symptom scales and social functioning dysfunction in functional scales. The top seven most important indices affecting QoL were clinical stage, marital status, histological type, age, nerve injury symptom, economic income and surgery type. For random forest prediction model, the areas under the curve in the training and validation courts were 0.834 and 0.897, respectively.
conclusionThe present study demonstrated that random forest model for predicting decreased QoL in thyroid cancer patients 3 months after thyroidectomy displayed relatively high accuracy. These findings should be applied clinically to optimise health care.
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Registered trials
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.