AI Medical Compendium Journal:
Asian Pacific journal of cancer prevention : APJCP

Showing 1 to 10 of 39 articles

Identification of Factors Affecting Prostate Cancer Using Machine Learning Methods: A Systematic Review.

Asian Pacific journal of cancer prevention : APJCP May 1, 2025
BACKGROUND: Prostate cancer is identified as the second cause of malignancy worldwide and the fifth cause of death among men. Considering the upward trend in cancer incidence and mortality rate due to this disease, the identification of risk factors ...
Prognosis Risk Factors Male Prostatic Neoplasms Humans Machine Learning
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Enhancing Personalized Chemotherapy for Ovarian Cancer: Integrating Gene Expression Data with Machine Learning.

Asian Pacific journal of cancer prevention : APJCP Mar 1, 2025
OBJECTIVE:  Ovarian cancer's complexity and heterogeneity pose significant challenges in treatment, often resulting in suboptimal chemotherapy outcomes. This study aimed to leverage machine learning algorithms, gene selection, and gene expression dat...
Gene Expression Profiling Gene Expression Regulation, Neoplastic Antineoplastic Combined Chemotherapy Protocols Follow-Up Studies Survival Rate Biomarkers, Tumor Middle Aged Humans Ovarian Neoplasms Machine Learning Algorithms Precision Medicine Prognosis Female
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Analyzing Secondary Cancer Risk: A Machine Learning Approach.

Asian Pacific journal of cancer prevention : APJCP Jan 1, 2025
OBJECTIVE: Addressing the rising cancer rates through timely diagnosis and treatment is crucial. Additionally, cancer survivors need to understand the potential risk of developing secondary cancer (SC), which can be influenced by several factors incl...
Cancer Survivors Colonic Neoplasms Linear Models Neoplasms, Second Primary Machine Learning Prognosis Female Risk Factors Breast Neoplasms Risk Assessment Lung Neoplasms Humans
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F-18 FDG PET/CT based Preoperative Machine Learning Prediction Models for Evaluating Regional Lymph Node Metastasis Status of Patients with Colon Cancer.

Asian Pacific journal of cancer prevention : APJCP Jan 1, 2025
OBJECTIVE: This study aimed to develop a simple machine-learning model incorporating lymph node metastasis status with F-18 Fluorodeoxyglucose positron emission tomography/computed tomography (FDG PET/CT) and clinical information for predicting regio...
Humans Machine Learning Prognosis Aged, 80 and over Adult Male Middle Aged Retrospective Studies Female Aged Fluorodeoxyglucose F18 Lymphatic Metastasis Positron Emission Tomography Computed Tomography Colonic Neoplasms ROC Curve Radiopharmaceuticals Lymph Nodes Follow-Up Studies
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Development and Validation of Machine Learning Model Platelet Index-based Predictor for Colorectal Cancer Stage.

Asian Pacific journal of cancer prevention : APJCP Dec 1, 2024
INTRODUCTION: Colorectal cancer (CRC) staging is essential for effective treatment planning and prognosis. While platelet indices have shown promise in indicating CRC aggressiveness, a platelet index-based predictor for CRC staging has not been estab...
Aged, 80 and over Adult Colorectal Neoplasms Cross-Sectional Studies Male Middle Aged Follow-Up Studies Machine Learning Prognosis Female Aged Humans Blood Platelets Mean Platelet Volume Neoplasm Staging Indonesia Platelet Count
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The G Protein-Coupled Receptor-Related Gene Signatures for Diagnosis and Prognosis in Glioblastoma: A Deep Learning Model Using RNA-Seq Data.

Asian Pacific journal of cancer prevention : APJCP Dec 1, 2024
BACKGROUND: Glioblastoma (GBM) is the most aggressive cancer in the central nervous system in glial cells. Finding novel biomarkers in GBM offers numerous advantages that can contribute to early detection, personalized treatment, improved patient out...
Gene Expression Regulation, Neoplastic Receptors, G-Protein-Coupled Glioblastoma Transcriptome Deep Learning RNA-Seq Female Survival Rate Biomarkers, Tumor Humans Brain Neoplasms Prognosis Male Middle Aged Gene Expression Profiling
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Diagnostic Accuracy of Artificial Intelligence Compared to Biopsy in Detecting Early Oral Squamous Cell Carcinoma: A Systematic Review and Meta Analysis.

Asian Pacific journal of cancer prevention : APJCP Aug 1, 2024
OBJECTIVE: To summarize and compare the existing evidence on diagnostic accuracy of artificial intelligence (AI) models in detecting early oral squamous cell carcinoma (OSCC).
Biopsy Mouth Neoplasms Artificial Intelligence Carcinoma, Squamous Cell Sensitivity and Specificity Humans Early Detection of Cancer
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Enhancing Skin Cancer Classification using Efficient Net B0-B7 through Convolutional Neural Networks and Transfer Learning with Patient-Specific Data.

Asian Pacific journal of cancer prevention : APJCP May 1, 2024
BACKGROUND: Skin cancer diagnosis challenges dermatologists due to its complex visual variations across diagnostic categories. Convolutional neural networks (CNNs), specifically the Efficient Net B0-B7 series, have shown superiority in multiclass ski...
Humans Deep Learning Neural Networks, Computer Image Processing, Computer-Assisted Skin Neoplasms
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Prediction and Diagnosis of Breast Cancer Using Machine and Modern Deep Learning Models.

Asian Pacific journal of cancer prevention : APJCP Mar 1, 2024
UNLABELLED: Background &Objective: Carcinoma of the breast is one of the major issues causing death in women, especially in developing countries. Timely prediction, detection, diagnosis, and efficient therapies have become critical to reducing death ...
Bayes Theorem Breast Neoplasms Deep Learning Support Vector Machine Humans Artificial Intelligence Machine Learning Algorithms Female
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Oral Cancer Prediction Using a Probability Neural Network (PNN).

Asian Pacific journal of cancer prevention : APJCP Sep 1, 2023
OBJECTIVE: In India, usually, oral cancer is mostly identified at a progressive stage of malignancy. Hence, we are motivated to identify oral cancer in its early stages, which helps to increase the lifetime of the patient, but this early detection is...
Cell Adhesion Molecules Wavelet Analysis Humans India Neural Networks, Computer Nuclear Proteins Algorithms Mouth Neoplasms Probability
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