AIMC Topic: Predictive Value of Tests

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Predicting Anterior Cruciate Ligament Reconstruction Revision: A Machine Learning Analysis Utilizing the Norwegian Knee Ligament Register.

The Journal of bone and joint surgery. American volume Jan 19, 2022
BACKGROUND: Several factors are associated with an increased risk of anterior cruciate ligament (ACL) reconstruction revision. However, the ability to accurately translate these factors into a quantifiable risk of revision at a patient-specific level...
Humans Reoperation Norway Male Anterior Cruciate Ligament Reconstruction Predictive Value of Tests Registries Machine Learning Female Risk Factors
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Using Machine Learning to Improve Personalised Prediction: A Data-Driven Approach to Segment and Stratify Populations for Healthcare.

Studies in health technology and informatics Jan 14, 2022
Population Health Management typically relies on subjective decisions to segment and stratify populations. This study combines unsupervised clustering for segmentation and supervised classification, personalised to clusters, for stratification. An in...
Machine Learning Predictive Value of Tests Delivery of Health Care Cluster Analysis Unsupervised Machine Learning
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"I'm [still] not a robot".

Journal of cardiovascular computed tomography Jan 1, 2022
Humans Predictive Value of Tests Robotics
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Development and validation of an artificial neural network algorithm to predict mortality and admission to hospital for heart failure after myocardial infarction: a nationwide population-based study.

The Lancet. Digital health Jan 1, 2022
BACKGROUND: Patients have an estimated mortality of 15-20% within the first year following myocardial infarction and one in four patients who survive myocardial infarction will develop heart failure, severely reducing quality of life and increasing t...
Myocardial Infarction Heart Failure Female Quality of Life Risk Factors Predictive Value of Tests Hospitalization Registries Male Humans Middle Aged Aged Neural Networks, Computer Aged, 80 and over
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Electronic health record machine learning model predicts trauma inpatient mortality in real time: A validation study.

The journal of trauma and acute care surgery Jan 1, 2022
INTRODUCTION: Patient outcome prediction models are underused in clinical practice because of lack of integration with real-time patient data. The electronic health record (EHR) has the ability to use machine learning (ML) to develop predictive model...
Registries Critical Care Injury Severity Score Hospital Mortality United States Predictive Value of Tests Wounds and Injuries Machine Learning Prognosis Electronic Health Records Middle Aged Risk Assessment Female Humans Male
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Foundations of Machine Learning-Based Clinical Prediction Modeling: Part III-Model Evaluation and Other Points of Significance.

Acta neurochirurgica. Supplement Jan 1, 2022
Various available metrics to describe model performance in terms of discrimination (area under the curve (AUC), accuracy, sensitivity, specificity, positive predictive value, negative predictive value, F1 Score) and calibration (slope, intercept, Bri...
Predictive Value of Tests Area Under Curve Calibration Humans Machine Learning
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Prediction of seroma after total mastectomy using an artificial neural network algorithm.

Breast disease Jan 1, 2022
Seroma is a common complication after mastectomy. To the best of our knowledge, no prediction models have been developed for this. Henceforth, medical records of total mastectomy patients were retrospectively reviewed. Data consisting of 120 subjects...
Algorithms Retrospective Studies Middle Aged Humans Lymph Nodes Neural Networks, Computer Lymph Node Excision Predictive Value of Tests Mastectomy, Simple Area Under Curve Female Seroma Aged Sentinel Lymph Node Biopsy Breast Neoplasms
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Detection of subtype-specific breast cancer surface protein biomarkers via a novel transcriptomics approach.

Bioscience reports Dec 22, 2021
BACKGROUND: Cell-surface proteins have been widely used as diagnostic and prognostic markers in cancer research and as targets for the development of anticancer agents. So far, very few attempts have been made to characterize the surfaceome of patien...
Protein Interaction Maps Gene Regulatory Networks Gene Expression Regulation, Neoplastic Predictive Value of Tests Signal Transduction Humans Databases, Genetic Machine Learning Gene Expression Profiling Prognosis Transcriptome Case-Control Studies Female Breast Neoplasms Biomarkers, Tumor
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Electrocardiography-Based Artificial Intelligence Algorithm Aids in Prediction of Long-term Mortality After Cardiac Surgery.

Mayo Clinic proceedings Dec 1, 2021
OBJECTIVE: To assess whether an electrocardiography-based artificial intelligence (AI) algorithm developed to detect severe ventricular dysfunction (left ventricular ejection fraction [LVEF] of 35% or below) independently predicts long-term mortality...
Coronary Artery Bypass Male Stroke Volume Electrocardiography Humans Female Predictive Value of Tests Ventricular Dysfunction, Left Artificial Intelligence Risk Factors Cardiac Surgical Procedures Proportional Hazards Models Algorithms Aged
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Interpretation and reporting of predictive or diagnostic machine-learning research in Trauma & Orthopaedics.

The bone & joint journal Dec 1, 2021
There is increasing popularity in the use of artificial intelligence and machine-learning techniques to provide diagnostic and prognostic models for various aspects of Trauma & Orthopaedic surgery. However, correct interpretation of these models is d...
Research Design Biomedical Research Models, Statistical Humans Machine Learning Clinical Decision Rules Predictive Value of Tests Orthopedics Traumatology
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