ArticleTechnology in cancer research & treatment
Colorectal Cancer Detected by Machine Learning Models Using Conventional Laboratory Test Data.
Article in Technology in cancer research & treatment. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
21 citing papers in PubMed.
- A Retrospective Study from a Single Center to Identify Hematological Factors that Distinguish Between Patients with Colorectal Carcinoma and Colorectal Adenoma.Medical science monitor : international medical journal of experimental and clinical research · 2022Trial
- ColoLDB: a machine learning-based predictive model for colorectal cancer using routine laboratory parameters.Journal of gastrointestinal oncology · 2026Article
- Exploring Machine Learning Approaches for Decision Support in Neoadjuvant Therapy of Locally Advanced Rectal Cancer.Oncology research · 2026Article
- Expression of VISTA on T cells in patients with cancer colon.Journal of the Egyptian National Cancer Institute · 2025Article
- Are we ready to integrate advanced artificial intelligence models in clinical laboratory?Biochemia medica · 2025Review
- Article
- Prediction of Acute Kidney Injury for Critically Ill Cardiogenic Shock Patients with Machine Learning Algorithms.International journal of general medicine · 2025Article
- Construction of diagnostic models with machine-learning algorithms for colorectal cancer based on clinical laboratory parameters.Journal of gastrointestinal oncology · 2024Article
- A prognostic nomogram integrating carcinoembryonic antigen levels for predicting overall survival in elderly patients with stage II-III colorectal cancer.Journal of gastrointestinal oncology · 2024Article
- Machine learning-based identification of colorectal advanced adenoma using clinical and laboratory data: a phase I exploratory study in accordance with updated World Endoscopy Organization guidelines for noninvasive colorectal cancer screening tests.Frontiers in oncology · 2024Article
- Non-Invasive Cancer Detection Using Blood Test and Predictive Modeling Approach.Advances and applications in bioinformatics and chemistry : AABC · 2024Article
- Using machine learning algorithms to predict 28-day mortality in critically ill elderly patients with colorectal cancer.The Journal of international medical research · 2023Article
- Additive pre-diagnostic and diagnostic value of routine blood-based biomarkers in the detection of colorectal cancer in the UK Biobank cohort.Scientific reports · 2023Article
- Application of artificial intelligence in diagnosis and treatment of colorectal cancer: A novel Prospect.Frontiers in medicine · 2023Review
- Development and validation of a web-based predictive model for preoperative diagnosis of localized colorectal cancer and colorectal adenoma.Frontiers in oncology · 2023Article
- Clinlabomics: leveraging clinical laboratory data by data mining strategies.BMC bioinformatics · 2022Review
- Potential roles of serum ATPase and AMPase in predicting diagnosis of colorectal cancer patients.Bioengineered · 2022Article
- Development and validation of a predictive model for diagnosing prostate cancer after transperineal prostate biopsy.Frontiers in oncology · 2022Article
- Article
- Blood Biomarkers Panels for Screening of Colorectal Cancer and Adenoma on a Machine Learning-Assisted Detection Platform.Cancer control : journal of the Moffitt Cancer CenterArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
PubMed holds no abstract for this paper.
Indexed as
Identifiers
What OpenQuestion holds
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.