AIMC Topic: SEER Program

Clear Filters Showing 81 to 88 of 88 articles

Machine learning-based individualized survival prediction model for prognosis in osteosarcoma: Data from the SEER database.

Medicine Sep 27, 2024
Patient outcomes of osteosarcoma vary because of tumor heterogeneity and treatment strategies. This study aimed to compare the performance of multiple machine learning (ML) models with the traditional Cox proportional hazards (CoxPH) model in predict...
Middle Aged Adolescent Child ROC Curve Female Neoplasm Staging Young Adult SEER Program Adult Proportional Hazards Models Male Osteosarcoma Bone Neoplasms Humans Machine Learning Prognosis Clinical Decision-Making
View on PubMed DOI

Leveraging SEER data through machine learning to predict distant lymph node metastasis and prognosticate outcomes in hepatocellular carcinoma patients.

The journal of gene medicine Sep 1, 2024
OBJECTIVES: This study aims to develop and validate machine learning-based diagnostic and prognostic models to predict the risk of distant lymph node metastases (DLNM) in patients with hepatocellular carcinoma (HCC) and to evaluate the prognosis for ...
Female Aged Adult Male Humans Machine Learning Prognosis Retrospective Studies Lymphatic Metastasis Neoplasm Staging alpha-Fetoproteins Middle Aged SEER Program Liver Neoplasms Proportional Hazards Models Carcinoma, Hepatocellular Nomograms
View on PubMed DOI

Novel machine-learning prediction tools for overall survival of patients with chondrosarcoma: Based on recursive partitioning analysis.

Cancer medicine Aug 1, 2024
BACKGROUND: Chondrosarcoma (CHS), a bone malignancy, poses a significant challenge due to its heterogeneous nature and resistance to conventional treatments. There is a clear need for advanced prognostic instruments that can integrate multiple progno...
Machine Learning Prognosis Female Aged Humans ROC Curve Bone Neoplasms Decision Trees SEER Program Chondrosarcoma Young Adult Adult Male Middle Aged
View on PubMed DOI

Explainable machine learning predicts survival of retroperitoneal liposarcoma: A study based on the SEER database and external validation in China.

Cancer medicine Jun 1, 2024
OBJECTIVE: We have developed explainable machine learning models to predict the overall survival (OS) of retroperitoneal liposarcoma (RLPS) patients. This approach aims to enhance the explainability and transparency of our modeling results.
Proportional Hazards Models Liposarcoma Retroperitoneal Neoplasms Prognosis Female Risk Factors Aged Humans Middle Aged Adult Machine Learning China Male SEER Program
View on PubMed DOI

Predictors of Survival among Male and Female Patients with Malignant Pleural Mesothelioma: A Random Survival Forest Analysis of Data from the 2000-2017 Surveillance, Epidemiology, and End Results Program.

Journal of registry management Jan 1, 2021
BACKGROUND: Malignant pleural mesothelioma (MPM) is a rare and aggressive malignancy with a dismal prognosis. We aimed to identify predictors of survival among male and female MPM patients in the United States.
Pleural Neoplasms Male SEER Program Lung Neoplasms Humans Mesothelioma Mesothelioma, Malignant Prognosis Female Survival Rate
View on PubMed

Validity of Natural Language Processing for Ascertainment of and Test Results in SEER Cases of Stage IV Non-Small-Cell Lung Cancer.

JCO clinical cancer informatics May 1, 2019
PURPOSE: SEER registries do not report results of epidermal growth factor receptor () and anaplastic lymphoma kinase () mutation tests. To facilitate population-based research in molecularly defined subgroups of non-small-cell lung cancer (NSCLC), we...
ErbB Receptors Anaplastic Lymphoma Kinase Adult Male Genetic Testing Algorithms SEER Program Middle Aged Humans Female DNA Mutational Analysis Lung Neoplasms Carcinoma, Non-Small-Cell Lung Machine Learning Reproducibility of Results Kentucky Population Surveillance Aged Natural Language Processing Mutation Registries
View on PubMed DOI

Can Machine-learning Techniques Be Used for 5-year Survival Prediction of Patients With Chondrosarcoma?

Clinical orthopaedics and related research Oct 1, 2018
BACKGROUND: Several studies have identified prognostic factors for patients with chondrosarcoma, but there are few studies investigating the accuracy of computationally intensive methods such as machine learning. Machine learning is a type of artific...
Adolescent Time Factors Child United States Decision Trees Predictive Value of Tests Bayes Theorem Support Vector Machine Neural Networks, Computer Bone Neoplasms Decision Support Techniques Adult Prognosis Male Retrospective Studies Humans Middle Aged SEER Program Reproducibility of Results Female Diagnosis, Computer-Assisted Aged Chondrosarcoma Aged, 80 and over Young Adult
View on PubMed DOI

Population-Based Analysis of Histologically Confirmed Melanocytic Proliferations Using Natural Language Processing.

JAMA dermatology Jan 1, 2018
IMPORTANCE: Population-based information on the distribution of histologic diagnoses associated with skin biopsies is unknown. Electronic medical records (EMRs) enable automated extraction of pathology report data to improve our epidemiologic underst...
Cell Proliferation Natural Language Processing Melanoma, Cutaneous Malignant Humans Immunohistochemistry Cross-Sectional Studies SEER Program Electronic Health Records Skin Neoplasms Biopsy, Needle Female Male Aged Middle Aged Melanocytes Melanoma Adult United States
View on PubMed DOI
Popular Topics
Recent Journals