AIMC Topic: Risk

Clear Filters Showing 21 to 30 of 145 articles

Breast Cancer Risk Prediction Using Deep Learning.

Radiology Sep 7, 2021
Breast Neoplasms Deep Learning Mammography Breast Risk Humans Female
View on PubMed DOI

The use of a next-generation sequencing-derived machine-learning risk-prediction model (OncoCast-MPM) for malignant pleural mesothelioma: a retrospective study.

The Lancet. Digital health Jul 28, 2021
BACKGROUND: Current risk stratification for patients with malignant pleural mesothelioma based on disease stage and histology is inadequate. For some individuals with early-stage epithelioid tumours, a good prognosis by current guidelines can progres...
New York Risk Mesothelioma, Malignant Pleural Neoplasms High-Throughput Nucleotide Sequencing Survival Analysis Male Retrospective Studies Middle Aged Female Cohort Studies Risk Factors Lung Neoplasms Humans Aged Neoplasm Staging Machine Learning Prognosis
View on PubMed DOI

Ethics of AI in Pathology: Current Paradigms and Emerging Issues.

The American journal of pathology Jul 10, 2021
Deep learning has rapidly advanced artificial intelligence (AI) and algorithmic decision-making (ADM) paradigms, affecting many traditional fields of medicine, including pathology, which is a heavily data-centric specialty of medicine. The structured...
Humans Artificial Intelligence Pathologists Risk Stakeholder Participation Pathology
View on PubMed DOI

A machine learning based exploration of COVID-19 mortality risk.

PloS one Jul 2, 2021
Early prediction of patient mortality risks during a pandemic can decrease mortality by assuring efficient resource allocation and treatment planning. This study aimed to develop and compare prognosis prediction machine learning models based on invas...
Risk Comorbidity Symptom Assessment Electronic Health Records Young Adult Severity of Illness Index Humans Female Adult Models, Theoretical SARS-CoV-2 Male Pandemics Support Vector Machine Aged Middle Aged COVID-19 Triage Aged, 80 and over Forecasting
View on PubMed DOI

Machine Learning Approaches to Predict Hepatotoxicity Risk in Patients Receiving Nilotinib.

Molecules (Basel, Switzerland) May 31, 2021
Although nilotinib hepatotoxicity can cause severe clinical conditions and may alter treatment plans, risk factors affecting nilotinib-induced hepatotoxicity have not been investigated. This study aimed to elucidate the factors affecting nilotinib-i...
Humans Machine Learning Retrospective Studies Female Risk Factors Male Middle Aged Risk Assessment Antineoplastic Agents Liver Aged Aged, 80 and over Young Adult Adult Pyrimidines Chemical and Drug Induced Liver Injury Area Under Curve Odds Ratio Risk Protein Kinase Inhibitors
View on PubMed DOI

Developing a short-term prediction model for asthma exacerbations from Swedish primary care patients' data using machine learning - Based on the ARCTIC study.

Respiratory medicine May 26, 2021
OBJECTIVE: The ability to predict impending asthma exacerbations may allow better utilization of healthcare resources, prevention of hospitalization and improve patient outcomes. We aimed to develop models using machine learning to predict risk of ex...
Data Interpretation, Statistical Environmental Exposure Risk Status Asthmaticus Adult Male Middle Aged Risk Assessment Disease Progression Comorbidity Adolescent Forecasting Cohort Studies Female Models, Theoretical Humans Sweden Machine Learning Hospitalization Young Adult
View on PubMed DOI

A Machine Learning Model Approach to Risk-Stratify Patients With Gastrointestinal Cancer for Hospitalization and Mortality Outcomes.

International journal of radiation oncology, biology, physics Apr 29, 2021
PURPOSE: Patients with gastrointestinal (GI) cancer frequently experience unplanned hospitalizations, but predictive tools to identify high-risk patients are lacking. We developed a machine learning model to identify high-risk patients.
Male Middle Aged Abdomen Pelvis Gastrointestinal Neoplasms Risk Humans Machine Learning Female Hospitalization Aged
View on PubMed DOI

Characterizing chronological accumulation of comorbidities in healthy veterans: a computational approach.

Scientific reports Apr 14, 2021
Understanding patient accumulation of comorbidities can facilitate healthcare strategy and personalized preventative care. We applied a directed network graph to electronic health record (EHR) data and characterized comorbidities in a cohort of healt...
Risk Aged Cardiomyopathies Aged, 80 and over Male Humans Comorbidity Middle Aged Neural Networks, Computer Renal Insufficiency, Chronic Databases, Factual Myocardial Infarction Female International Classification of Diseases Veterans
View on PubMed DOI

Artificial Intelligence & Tissue Biomarkers: Advantages, Risks and Perspectives for Pathology.

Cells Apr 2, 2021
Tissue Biomarkers are information written in the tissue and used in Pathology to recognize specific subsets of patients with diagnostic, prognostic or predictive purposes, thus representing the key elements of Personalized Medicine. The advent of Art...
Humans Artificial Intelligence Software Biomarkers Animals Pathology Risk Organ Specificity
View on PubMed DOI

App-based symptom tracking to optimize SARS-CoV-2 testing strategy using machine learning.

PloS one Mar 25, 2021
BACKGROUND: Tests are scarce resources, especially in low and middle-income countries, and the optimization of testing programs during a pandemic is critical for the effectiveness of the disease control. Hence, we aim to use the combination of sympto...
COVID-19 Retrospective Studies False Negative Reactions Female False Positive Reactions SARS-CoV-2 Risk Adult Anosmia Humans Machine Learning Registries Fever Male Self Report COVID-19 Testing Middle Aged Dyspnea Brazil Mobile Applications
View on PubMed DOI
Popular Topics
Recent Journals