AIMC Topic: Logistic Models

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Exploiting Rules to Enhance Machine Learning in Extracting Information From Multi-Institutional Prostate Pathology Reports.

JCO clinical cancer informatics Oct 1, 2020
PURPOSE: Literature on clinical note mining has highlighted the superiority of machine learning (ML) over hand-crafted rules. Nevertheless, most studies assume the availability of large training sets, which is rarely the case. For this reason, in the...
Humans Logistic Models United States Support Vector Machine Prostate Machine Learning Algorithms Male
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Machine learning-based classification of viewing behavior using a wide range of statistical oculomotor features.

Journal of vision Sep 2, 2020
Since the seminal work of Yarbus, multiple studies have demonstrated the influence of task-set on oculomotor behavior and the current cognitive state. In more recent years, this field of research has expanded by evaluating the costs of abruptly switc...
Humans Cognition Machine Learning Eye Movements Logistic Models
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The Impact of Undersampling on the Predictive Performance of Logistic Regression and Machine Learning Algorithms: A Simulation Study.

Epidemiology (Cambridge, Mass.) Sep 1, 2020
Humans Machine Learning Algorithms Computer Simulation Logistic Models Selection Bias
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Predicting Long-Term Outcomes After Poor-Grade Aneurysmal Subarachnoid Hemorrhage Using Decision Tree Modeling.

Neurosurgery Sep 1, 2020
BACKGROUND: Despite advances in the treatment of poor-grade aneurysmal subarachnoid hemorrhage (aSAH), predicting the long-term outcome of aSAH remains challenging, although essential.
Decision Trees Subarachnoid Hemorrhage ROC Curve Logistic Models Treatment Outcome Clinical Decision-Making Female Aged Adult Humans Male Machine Learning Middle Aged Prognosis
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Concordance between treatment recommendations provided by IBM Watson for Oncology and a multidisciplinary tumor board for breast cancer in China.

Japanese journal of clinical oncology Aug 4, 2020
OBJECTIVE: Watson for Oncology (WFO), an artificial intelligence from IBM Corporation, can provide a treatment plan by analyzing patient's disease characteristics. The present study was performed to examine the concordance between treatment recommend...
Humans Artificial Intelligence Retrospective Studies Female Combined Modality Therapy Medical Oncology Middle Aged Neoplasm Metastasis Aged Interdisciplinary Research China Adult Health Planning Guidelines Logistic Models Breast Neoplasms
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Constructing co-occurrence network embeddings to assist association extraction for COVID-19 and other coronavirus infectious diseases.

Journal of the American Medical Informatics Association : JAMIA Aug 1, 2020
OBJECTIVE: As coronavirus disease 2019 (COVID-19) started its rapid emergence and gradually transformed into an unprecedented pandemic, the need for having a knowledge repository for the disease became crucial. To address this issue, a new COVID-19 m...
Datasets as Topic Pneumonia, Viral Decision Trees Bayes Theorem Coronavirus Infections ROC Curve Pandemics Logistic Models COVID-19 Support Vector Machine Algorithms Humans Neural Networks, Computer Software
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Validating clinical threshold values for a dashboard view of the compensatory reserve measurement for hemorrhage detection.

The journal of trauma and acute care surgery Aug 1, 2020
BACKGROUND: Compensatory reserve measurement (CRM) is a novel noninvasive monitoring technology designed to assess physiologic reserve using feature interrogation of arterial pulse waveforms. This study was conducted to validate clinically relevant C...
Blood Volume Data Display Shock Injury Severity Score Vital Signs Hemodynamics User-Computer Interface ROC Curve Logistic Models Blood Transfusion Hemorrhage Sensitivity and Specificity Male Middle Aged Female Risk Factors Adult Humans Machine Learning
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Supervised Machine-Learning Algorithms in Real-time Prediction of Hypotensive Events.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2020
Hypotension is common in critically ill patients. Early prediction of hypotensive events in the Intensive Care Units (ICUs) allows clinicians to pre-emptively treat the patient and avoid possible organ damage. In this study, we investigate the perfor...
Logistic Models Humans Supervised Machine Learning Machine Learning Hypotension Algorithms
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Evaluation of Machine Learning-based Patient Outcome Prediction Using Patient-specific Difficulty and Discrimination Indices.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2020
Given the extensive use of machine learning in patient outcome prediction, and the understanding that the challenging nature of predictions in this field may considerably modify the performance of predictive models, research in this area requires som...
Humans Prognosis Machine Learning ROC Curve Algorithms Logistic Models
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Assisting the Non-invasive Diagnosis of Liver Fibrosis Stages using Machine Learning Methods.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2020
Fibrosis is a significant indication of chronic liver diseases often due to hepatitis C Virus. It is becoming a global concern as a result of the rapid increase in the number of HCV infected patients, the high cost and flaws associated with the asses...
Logistic Models Liver Cirrhosis Humans Hepacivirus Neural Networks, Computer Machine Learning
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