ArticleAnnals of medicine2023
Feasibility of machine learning-based modeling and prediction using multiple centers data to assess intrahepatic cholangiocarcinoma outcomes.
Article in Annals of medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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25 citing papers in PubMed, 33 citations in OpenAlex.
- A practical nomogram for predicting survival in patients with extrahepatic cholangiocarcinoma: a population-based cohort study.Journal of gastrointestinal oncology · 2026Article
- An Interpretable Machine Learning Model for Predicting the Presence of Talaromycosis in HIV Patients Lacking Skin Lesions.Mycopathologia · 2026Article
- Predicting postoperative delayed awakening after flexible ureteroscopic lithotripsy based on radiomic features of body composition.Scientific reports · 2026Article
- Log odds of positive lymph nodes predict surgical prognosis in intrahepatic cholangiocarcinoma based on SEER cohort and nomogram model.Discover oncology · 2026Article
- Restoration's Longevity in Endodontically Treated Teeth: A Machine Learning Survival Analysis From Randomised Clinical Trials.International endodontic journal · 2026Article
- Predicting treatment response to systemic therapy in advanced gallbladder cancer using multiphase enhanced CT images.European radiology · 2025Article
- Changing patterns of cholangiocarcinoma and gallbladder cancer: A regional perspective from Northeastern Italy.World journal of gastrointestinal oncology · 2025Article
- Monitoring miR-29a for targeted therapy of cholangiocarcinoma based on a photoelectric sensor.Mikrochimica acta · 2025Article
- Outcome prediction for cholangiocarcinoma prognosis: Embracing the machine learning era.World journal of gastroenterology · 2025Article
- Incidence trends, overall survival, and metastasis prediction using multiple machine learning and deep learning techniques in pediatric and adolescent population with osteosarcoma and Ewing's sarcoma: nomogram and webpage.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2025Article
- Machine Learning Prognostic Model for Post-Radical Resection Hepatocellular Carcinoma in Hepatitis B Patients.Journal of hepatocellular carcinoma · 2025Article
- Development and validation of machine learning model to predict early death of melanoma brain metastasis patients.Frontiers in oncology · 2025Article
- Prediction Models of Microinvasive Cervical Cancer in High-Grade Squamous Intraepithelial Lesion Treatment by Loop Electrosurgical Excision Procedure.Risk management and healthcare policy · 2025Article
- Development and validation of a screening model for dysphagia in the elderly based on acoustic features.Frontiers in medicine · 2025Article
- Article
- Risk of intraoperative hemorrhage during cesarean scar ectopic pregnancy surgery: development and validation of an interpretable machine learning prediction model.EClinicalMedicine · 2024Article
- Current applications of indocyanine green (ICG) in abdominal, gynecologic and urologic surgery: a meta-review and quality analysis with use of the AMSTAR 2 instrument.Surgical endoscopy · 2024Review
- Research trends and hotspots evolution of artificial intelligence for cholangiocarcinoma over the past 10 years: a bibliometric analysis.Frontiers in oncology · 2024Review
- Machine learning-based dynamic predictive models for prognosis and treatment decisions in patients with liver metastases from gastric cancer.American journal of cancer research · 2024Article
- Application of AI on cholangiocarcinoma.Frontiers in oncology · 2024Review
Corrections and comments
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Authors and funding
9 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND AND
aimsCurrently, there are still no definitive consensus in the treatment of intrahepatic cholangiocarcinoma (iCCA). This study aimed to build a clinical decision support tool based on machine learning using the Surveillance, Epidemiology, and End Results (SEER) database and the data from the Fifth Medical Center of the PLA General Hospital in China.
methods4,398 eligible patients from the SEER database and 504 eligible patients from the hospital data, who presented with histologically proven iCCA, were enrolled for modeling by cross-validation based on machine learning. All the models were trained using the open-source Python library scikit-survival version 0.16.0. Shapley additive explanations method was used to help clinicians better understand the obtained results. Permutation importance was calculated using library ELI5.
resultsAll involved treatment modalities could contribute to a better prognosis. Three models were derived and tested using different data sources, with concordance indices of 0.67, 0.69, and 0.73, respectively. The prediction results were consistent with those under actual situations involving randomly selected patients. Model 2, trained using the hospital data, was selected to develop an online tool, due to its advantage in predicting short-term prognosis.
conclusionThe prediction model and tool established in this study can be applied to predict the prognosis of iCCA after treatment by inputting the patient's clinical parameters or TNM stages and treatment options, thus contributing to optimal clinical decisions.KEY MESSAGESA prognostic model related to disease staging and treatment mode was conducted using the method of machine learning, based on the big data of multi centers.The online calculator can predict the short-term survival prognosis of intrahepatic cholangiocarcinoma, thus, help to make the best clinical decision.The online calculator built to calculate the mortality risk and overall survival can be easily obtained and applied.
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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.