AIMC Topic: Predictive Learning Models

Clear Filters Showing 1 to 10 of 16 articles

Association between the (neutrophil + monocyte)/albumin ratio and all-cause mortality in sepsis patients: a retrospective cohort study and predictive model establishment according to machine learning.

BMC infectious diseases Apr 22, 2025
INTRODUCTION: Sepsis is a life-threatening condition characterized by widespread inflammatory response syndrome in the body resulting from infection. Previous studies have demonstrated that some inflammatory factors or nutritional elements contribute...
Humans Machine Learning Retrospective Studies Neutrophils Female Blood Cell Count Risk Factors Serum Albumin, Human Aged Predictive Learning Models Male Middle Aged Sepsis Cohort Studies Monocytes
View on PubMed DOI

An application of deep learning model InceptionTime to predict nausea, vomiting, diarrhoea, and constipation using the gastro-intestinal pacemaker activity drug database (GIPADD).

Scientific reports Apr 16, 2025
The accurate preclinical prediction of adverse drug reactions (ADRs), such as nausea and vomiting, remains a challenge. The Gastro-Intestinal Pacemaker Activity Drug Database (GIPADD) ( http://www.gutrhythm.com/public_database ) is a new source of el...
Reproducibility of Results Deep Learning Big Data Diarrhea ROC Curve Area Under Curve Humans Vomiting Databases, Pharmaceutical Biological Clocks Electrodiagnosis Digestive System Diseases Predictive Learning Models Feasibility Studies Drug-Related Side Effects and Adverse Reactions Gastrointestinal Tract Constipation Nausea
View on PubMed DOI

Preprocessing of natural language process variables using a data-driven method improves the association with suicide risk in a large veterans affairs population.

Computers in biology and medicine Mar 5, 2025
OBJECTIVE: Suicide risk assessment has historically relied heavily on clinical evaluations and patient self-reports. Natural language processing (NLP) of electronic health records (EHRs) provides an alternative approach for extracting risk predictors...
Young Adult Adult Male Middle Aged Risk Assessment Case-Control Studies Humans Electronic Health Records Female Aged Aged, 80 and over Veterans United States Department of Defense Suicide, Completed Adolescent Predictive Learning Models Suicide Prevention Psychological Well-Being United States Natural Language Processing United States Department of Veterans Affairs
View on PubMed DOI

Entity-enhanced BERT for medical specialty prediction based on clinical questionnaire data.

PloS one Jan 30, 2025
A medical specialty prediction system for remote diagnosis can reduce the unexpected costs incurred by first-visit patients who visit the wrong hospital department for their symptoms. To develop medical specialty prediction systems, several researche...
Large Language Models Predictive Learning Models Emergency Room Visits Hospitals, University Health Expenditures Quality Improvement Remote Consultation Humans Patient Satisfaction Republic of Korea Surveys and Questionnaires Triage Natural Language Processing
View on PubMed DOI

Machine Learning-Based Real-Time Survival Prediction for Gastric Neuroendocrine Carcinoma.

Annals of surgical oncology Jan 28, 2025
BACKGROUND: This study aimed to develop a dynamic survival prediction model utilizing conditional survival (CS) analysis and machine learning techniques for gastric neuroendocrine carcinomas (GNECs).
Random Forest Carcinoma, Neuroendocrine SEER Program Proportional Hazards Models Predictive Learning Models Middle Aged Risk Assessment Nomograms United States Regression Analysis Humans Machine Learning Retrospective Studies Female Aged Stomach Neoplasms Survival Rate Male
View on PubMed DOI

Long-Term Predictive Modelling of the Craniofacial Complex Using Machine Learning on 2D Cephalometric Radiographs.

International dental journal Jan 5, 2025
OBJECTIVE: This study aimed to predict long-term growth-related changes in skeletal and dental relationships within the craniofacial complex using machine learning (ML) models.
Body Size Maxilla Skull Base Adolescent Development Predictive Learning Models Cephalometry Random Forest Face Random Allocation Incisor Humans Retrospective Studies Reproducibility of Results Male Adolescent Child Mandible Puberty Regression Analysis Predictive Value of Tests Radiography
View on PubMed DOI

StUdy of Gestational diabetes And Risk using Electronic Data (SUGARED): a population-based cohort study-study protocol.

BMJ open Dec 26, 2024
INTRODUCTION: The incidence of gestational diabetes mellitus (GDM) in Australia has tripled in the last 20 years. Consequently, over 40 000 pregnancies are now diagnosed as 'higher risk' each year. This has increased antenatal surveillance and obstet...
Observational Studies as Topic Diabetes, Gestational Glucose Tolerance Test Information Storage and Retrieval Propensity Score Delivery, Obstetric Multilevel Analysis New South Wales Hospitals, Public Routinely Collected Health Data Predictive Learning Models Female Risk Assessment Incidence Pregnancy Outcome Logistic Models Humans Research Design Retrospective Studies Pregnancy
View on PubMed DOI

Advancing non-alcoholic fatty liver disease prediction: a comprehensive machine learning approach integrating SHAP interpretability and multi-cohort validation.

Frontiers in endocrinology Oct 8, 2024
INTRODUCTION: Non-alcoholic fatty liver disease (NAFLD) represents a major global health challenge, often undiagnosed because of suboptimal screening tools. Advances in machine learning (ML) offer potential improvements in predictive diagnostics, lev...
Humans Middle Aged Prognosis Nutrition Surveys Female Non-alcoholic Fatty Liver Disease Adult Predictive Learning Models Male
View on PubMed DOI

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...
Humans Machine Learning Female Chromosomal Instability Area Under Curve Reproducibility of Results Neoplastic Cells, Circulating Cell Line, Tumor Whole Genome Sequencing Triple Negative Breast Neoplasms Feasibility Studies Cell Proliferation DNA Repair DNA Copy Number Variations Predictive Learning Models
View on PubMed DOI

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...
Thyroid Cancer, Papillary Predictive Learning Models Lymphatic Metastasis Regression Analysis Retrospective Studies Predictive Value of Tests Risk Assessment Humans Female Area Under Curve Risk Factors Adolescent Reference Values Young Adult Thyroid Neoplasms Male Ultrasonography ROC Curve Lymph Nodes
View on PubMed DOI
Popular Topics
Recent Journals