AIMC Topic: ROC Curve

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An app to classify a 5-year survival in patients with breast cancer using the convolutional neural networks (CNN) in Microsoft Excel: Development and usability study.

Medicine Jan 28, 2022
BACKGROUND: Breast cancer (BC) is the most common malignant cancer in women. A predictive model is required to predict the 5-year survival in patients with BC (5YSPBC) and improve the treatment quality by increasing their survival rate. However, no r...
Aged Aged, 80 and over Adult Mobile Applications Survival Rate Bayes Theorem Sensitivity and Specificity Artificial Intelligence Middle Aged Breast Neoplasms Prognosis ROC Curve Humans Female Neural Networks, Computer
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Explainable multimodal machine learning model for classifying pregnancy drug safety.

Bioinformatics (Oxford, England) Jan 27, 2022
MOTIVATION: Teratogenic drugs can cause severe fetal malformation and therefore have critical impact on the health of the fetus, yet the teratogenic risks are unknown for most approved drugs. This article proposes an explainable machine learning mode...
Female Risk Factors ROC Curve Machine Learning Software Humans Pregnancy
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Heavy chain sequence-based classifier for the specificity of human antibodies.

Briefings in bioinformatics Jan 17, 2022
Antibodies specifically bind to antigens and are an essential part of the immune system. Hence, antibodies are powerful tools in research and diagnostics. High-throughput sequencing technologies have promoted comprehensive profiling of the immune rep...
Humans Amino Acid Sequence Antibody Specificity High-Throughput Nucleotide Sequencing Machine Learning ROC Curve Antibodies Complementarity Determining Regions
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Validation of a Machine Learning Model for Early Shock Detection.

Military medicine Jan 4, 2022
OBJECTIVES: The objectives of this study were to test in real time a Trauma Triage, Treatment, and Training Decision Support (4TDS) machine learning (ML) model of shock detection in a prospective silent trial, and to evaluate specificity, sensitivity...
Adolescent ROC Curve Vital Signs Retrospective Studies Intensive Care Units Humans Machine Learning Prospective Studies
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Convolutional neural network-based artificial intelligence for the diagnosis of early esophageal cancer based on endoscopic images: A meta-analysis.

Saudi journal of gastroenterology : official journal of the Saudi Gastroenterology Association Jan 1, 2022
BACKGROUND: Early screening and treatment of esophageal cancer (EC) is particularly important for the survival and prognosis of patients. However, early EC is difficult to diagnose by a routine endoscopic examination. Therefore, convolutional neural ...
Sensitivity and Specificity Humans ROC Curve Neural Networks, Computer Esophageal Neoplasms Artificial Intelligence
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Pattern Classification for Ovarian Tumors by Integration of Radiomics and Deep Learning Features.

Current medical imaging Jan 1, 2022
BACKGROUND: Ovarian tumor is a common female genital tumor, among which malignant tumors have a poor prognosis. The survival rate of 70% of patients with ovarian cancer is less than 5 years, while benign ovarian tumor is better, so the early diagnosi...
Support Vector Machine Humans Female Ovarian Neoplasms Algorithms Deep Learning ROC Curve
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Assessing performance of artificial neural networks and re-sampling techniques for healthcare datasets.

Health informatics journal Jan 1, 2022
Re-sampling methods to solve class imbalance problems have shown to improve classification accuracy by mitigating the bias introduced by differences in class size. However, it is possible that a model which uses a specific re-sampling technique prior...
Data Collection Humans Neural Networks, Computer ROC Curve Delivery of Health Care Health Facilities
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Parameter tuning in machine learning based on radiomics biomarkers of lung cancer.

Journal of X-ray science and technology Jan 1, 2022
BACKGROUND: Lung cancer is one of the most common cancers, and early diagnosis and intervention can improve cancer cure rate.
Humans Machine Learning ROC Curve Biomarkers Lung Neoplasms Retrospective Studies Support Vector Machine Lung
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Diagnostic Performance of AI for Cancers Registered in A Mammography Screening Program: A Retrospective Analysis.

Technology in cancer research & treatment Jan 1, 2022
To evaluate the performance of an artificial intelligence (AI) algorithm in a simulated screening setting and its effectiveness in detecting missed and interval cancers. Digital mammograms were collected from Bahcesehir Mammographic Screening Progr...
Mammography Turkey Mass Screening Early Detection of Cancer Population Surveillance ROC Curve Image Processing, Computer-Assisted Artificial Intelligence Retrospective Studies Female Risk Factors Breast Neoplasms Risk Assessment Humans
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Detection and Weak Segmentation of Masses in Gray-Scale Breast Mammogram Images Using Deep Learning.

Yonsei medical journal Jan 1, 2022
PURPOSE: In this paper, we propose deep-learning methodology with which to enhance the mass differentiation performance of convolutional neural network (CNN)-based architecture.
Mammography Cell Differentiation Deep Learning ROC Curve Humans Neural Networks, Computer Female Breast Neoplasms
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