AIMC Topic: Area Under Curve

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Optimized machine learning model for predicting unplanned reoperation after rectal cancer anterior resection.

European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology Sep 21, 2024
BACKGROUND: Unplanned reoperation (URO) after surgery adversely affects the quality of life and prognosis of patients undergoing anterior resection for rectal cancer. This study aims to meet the urgent need for reliable predictive tools by developing...
Rectal Neoplasms Reoperation Algorithms Prognosis Retrospective Studies Female Aged Male Middle Aged Risk Assessment Postoperative Complications Area Under Curve Humans Machine Learning
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Development of machine learning models to predict papillary carcinoma in thyroid nodules: The role of immunological, radiologic, cytologic and radiomic features.

Auris, nasus, larynx Sep 20, 2024
OBJECTIVE: Approximately 30 % of thyroid nodules yield an indeterminate diagnosis through conventional diagnostic strategies. The aim of this study was to develop machine learning (ML) models capable of identifying papillary thyroid carcinomas using ...
Humans Machine Learning Retrospective Studies Female Carcinoma, Papillary Middle Aged Thyroid Cancer, Papillary Thyroid Neoplasms Ultrasonography Aged Thyroid Nodule Adult Area Under Curve Radiomics Male
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Validation of a deep learning model for automatic detection and quantification of five OCT critical retinal features associated with neovascular age-related macular degeneration.

The British journal of ophthalmology Sep 20, 2024
PURPOSE: To develop and validate a deep learning model for the segmentation of five retinal biomarkers associated with neovascular age-related macular degeneration (nAMD).
Humans Female Aged Tomography, Optical Coherence Retina Wet Macular Degeneration Retinal Drusen Subretinal Fluid Aged, 80 and over Male Deep Learning ROC Curve Area Under Curve
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AI-based strategies in breast mass ≤ 2 cm classification with mammography and tomosynthesis.

Breast (Edinburgh, Scotland) Sep 19, 2024
PURPOSE: To evaluate the diagnosis performance of digital mammography (DM) and digital breast tomosynthesis (DBT), DM combined DBT with AI-based strategies for breast mass ≤ 2 cm.
Retrospective Studies Female Aged Adult Breast Neoplasms Humans Artificial Intelligence Breast Middle Aged Deep Learning ROC Curve Mammography Area Under Curve
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Low-pass whole genome sequencing of circulating tumor cells to evaluate chromosomal instability in triple-negative breast cancer.

Scientific reports Sep 3, 2024
Chromosomal Instability (CIN) is a common and evolving feature in breast cancer. Large-scale Transitions (LSTs), defined as chromosomal breakages leading to gains or losses of at least 10 Mb, have recently emerged as a metric of CIN due to their stan...
Predictive Learning Models Chromosomal Instability Area Under Curve Neoplastic Cells, Circulating Whole Genome Sequencing Feasibility Studies DNA Repair Humans Machine Learning Female Reproducibility of Results Cell Line, Tumor Triple Negative Breast Neoplasms Cell Proliferation DNA Copy Number Variations
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Prediction model for lateral lymph node metastasis of papillary thyroid carcinoma in children and adolescents based on ultrasound imaging and clinical features: a retrospective study.

BMC medical imaging Aug 29, 2024
BACKGROUND: The presence of lateral lymph node metastases (LNM) in paediatric patients with papillary thyroid cancer (PTC) is an independent risk factor for recurrence. We aimed to identify risk factors and establish a prediction model for lateral LN...
Ultrasonography Young Adult Humans Predictive Value of Tests Retrospective Studies Area Under Curve ROC Curve Male Reference Values Female Lymph Nodes Risk Assessment Thyroid Cancer, Papillary Risk Factors Lymphatic Metastasis Adolescent Predictive Learning Models Regression Analysis Thyroid Neoplasms
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Application of machine-learning models to predict the ganciclovir and valganciclovir exposure in children using a limited sampling strategy.

Antimicrobial agents and chemotherapy Aug 28, 2024
Intravenous ganciclovir and oral valganciclovir display significant variability in ganciclovir pharmacokinetics, particularly in children. Therapeutic drug monitoring currently relies on the area under the concentration-time (AUC). Machine-learning (...
Male Infant Adolescent Child, Preschool Humans Administration, Oral Antiviral Agents Child Administration, Intravenous Machine Learning Area Under Curve Valganciclovir Algorithms Bayes Theorem Ganciclovir Female Drug Monitoring Cytomegalovirus Infections
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Prediction of intraoperative hypotension using deep learning models based on non-invasive monitoring devices.

Journal of clinical monitoring and computing Aug 19, 2024
PURPOSE: Intraoperative hypotension is associated with adverse outcomes. Predicting and proactively managing hypotension can reduce its incidence. Previously, hypotension prediction algorithms using artificial intelligence were developed for invasive...
Deep Learning Monitoring, Intraoperative ROC Curve Photoplethysmography Electrocardiography Blood Pressure Determination Blood Pressure Area Under Curve Hypotension Intraoperative Complications Artificial Intelligence Algorithms Databases, Factual Female Consciousness Monitors Blood Pressure Monitors Capnography Reproducibility of Results Aged Adult Male Middle Aged Humans
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Using Data-Driven Algorithms with Large-Scale Plasma Proteomic Data to Discover Novel Biomarkers for Diagnosing Depression.

Journal of proteome research Aug 16, 2024
Given recent technological advances in proteomics, it is now possible to quantify plasma proteomes in large cohorts of patients to screen for biomarkers and to guide the early diagnosis and treatment of depression. Here we used CatBoost machine learn...
Depression ROC Curve Machine Learning Proteomics Algorithms Area Under Curve Proteome Humans Biomarkers Blood Proteins Female Male
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Tree-based ensemble machine learning models in the prediction of acute respiratory distress syndrome following cardiac surgery: a multicenter cohort study.

Journal of translational medicine Aug 15, 2024
BACKGROUND: Acute respiratory distress syndrome (ARDS) after cardiac surgery is a severe respiratory complication with high mortality and morbidity. Traditional clinical approaches may lead to under recognition of this heterogeneous syndrome, potenti...
Respiratory Distress Syndrome Area Under Curve Cardiac Surgical Procedures Male Middle Aged Cohort Studies Humans ROC Curve Machine Learning Female Aged
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