1. Improving Recurrence Prediction Accuracy of Ovarian Cancer Using Multi-phase Feature Selection Methodology
    S. Sujamol et al, 2021, Applied Artificial Intelligence CrossRef
  2. RF-PSSM: A Combination of Rotation Forest Algorithm and Position-Specific Scoring Matrix for Improved Prediction of Protein-Protein Interactions Between Hepatitis C Virus and Human
    Xin Liu et al, 2023, Big Data Mining and Analytics CrossRef
  3. Progress of Artificial Intelligence in Gynecological Malignant Tumors


    Jie Zhou et al, 2020, Cancer Management and Research CrossRef
  4. DA-Based Parameter Optimization of Combined Kernel Support Vector Machine for Cancer Diagnosis
    Tao Xie et al, 2019, Processes CrossRef
  5. D-TSVR Recurrence Prediction Driven by Medical Big Data in Cancer
    Ai-Min Yang et al, 2021, IEEE Transactions on Industrial Informatics CrossRef
  6. Identification of Diagnostic Markers for Major Depressive Disorder Using Machine Learning Methods
    Shu Zhao et al, 2021, Frontiers in Neuroscience CrossRef
  7. Identification of potential biomarkers with colorectal cancer based on bioinformatics analysis and machine learning
    Ahmed Hammad et al, 2021, Mathematical Biosciences and Engineering CrossRef
  8. An overview of artificial intelligence in the field of genomics
    Khizra Maqsood et al, 2024, Discover Artificial Intelligence CrossRef
  9. Analysis of the Composition and Anti-Rheumatoid Arthritis Mechanism of Qintengtongbi Decoction Based on Network Pharmacology
    Guo-Cheng Liang et al, 2021, Natural Product Communications CrossRef
  10. Recurrence-Associated Multi-RNA Signature to Predict Disease-Free Survival for Ovarian Cancer Patients
    Yu Zhang et al, 2020, BioMed Research International CrossRef
  11. Survival Risk Prediction of Esophageal Cancer Based on Self-Organizing Maps Clustering and Support Vector Machine Ensembles
    Junwei Sun et al, 2020, IEEE Access CrossRef