AIMC Topic: Logistic Models

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Respiratory Sound Based Classification of Chronic Obstructive Pulmonary Disease: a Risk Stratification Approach in Machine Learning Paradigm.

Journal of medical systems Jun 28, 2019
This article investigates the classification of normal and COPD subjects on the basis of respiratory sound analysis using machine learning techniques. Thirty COPD and 25 healthy subject data are recorded. Total of 39 lung sound features and 3 spirome...
Logistic Models Support Vector Machine Forced Expiratory Volume Spirometry Vital Capacity Respiratory Sounds Female Pulmonary Disease, Chronic Obstructive Sensitivity and Specificity Male Risk Assessment Humans Machine Learning Algorithms
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Neural networks versus Logistic regression for 30 days all-cause readmission prediction.

Scientific reports Jun 26, 2019
Heart failure (HF) is one of the leading causes of hospital admissions in the US. Readmission within 30 days after a HF hospitalization is both a recognized indicator for disease progression and a source of considerable financial burden to the health...
Humans Predictive Value of Tests Neural Networks, Computer Area Under Curve Machine Learning Heart Failure Patient Readmission Middle Aged Probability False Positive Reactions Deep Learning Risk ROC Curve Logistic Models United States Algorithms Female Aged Male
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A machine learning approach for predictive models of adverse events following spine surgery.

The spine journal : official journal of the North American Spine Society Jun 20, 2019
BACKGROUND: Rates of adverse events following spine surgery vary widely by patient-, diagnosis-, and procedure-related factors. It is critical to understand the expected rates of complications and to be able to implement targeted efforts at limiting ...
Logistic Models United States Area Under Curve Spine Odds Ratio Orthopedic Procedures Male Middle Aged Risk Assessment Postoperative Complications Humans Comorbidity Machine Learning Databases, Factual Retrospective Studies Female Aged
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Development of Machine Learning Algorithms for Prediction of Sustained Postoperative Opioid Prescriptions After Total Hip Arthroplasty.

The Journal of arthroplasty Jun 13, 2019
BACKGROUND: Postoperative recovery after total hip arthroplasty (THA) can lead to the development of prolonged opioid use but there are few tools for predicting this adverse outcome. The purpose of this study is to develop machine learning algorithms...
Machine Learning Algorithms Retrospective Studies Female Aged Pain, Postoperative Humans Prescriptions Analgesics, Opioid Male Opioid-Related Disorders Middle Aged Postoperative Period Risk Assessment Arthroplasty, Replacement, Hip Logistic Models
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A Deep Learning Model for Predicting Xerostomia Due to Radiation Therapy for Head and Neck Squamous Cell Carcinoma in the RTOG 0522 Clinical Trial.

International journal of radiation oncology, biology, physics Jun 13, 2019
PURPOSE: Xerostomia commonly occurs in patients who undergo head and neck radiation therapy and can seriously affect patients' quality of life. In this study, we developed a xerostomia prediction model with radiation treatment data using a 3-dimensio...
Area Under Curve Parotid Gland Radiotherapy Planning, Computer-Assisted Radiotherapy, Conformal Radiotherapy, Image-Guided Deep Learning ROC Curve Logistic Models Squamous Cell Carcinoma of Head and Neck Xerostomia Hypopharyngeal Neoplasms Laryngeal Neoplasms Pharyngeal Neoplasms Oropharyngeal Neoplasms Submandibular Gland Humans Retrospective Studies Tomography, X-Ray Computed
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Computer-Aided Diagnosis and Clinical Trials of Cardiovascular Diseases Based on Artificial Intelligence Technologies for Risk-Early Warning Model.

Journal of medical systems Jun 13, 2019
The use of artificial intelligence in medicine is currently an issue of great interest, especially with regard to the diagnostic or predictive analysis of medical data. In order to achieve the regional medical and public health data analysis through ...
Humans Artificial Intelligence Prognosis Heart Failure Support Vector Machine Data Mining Risk Assessment Chronic Disease Renal Insufficiency Severity of Illness Index Acute Disease Diagnosis, Computer-Assisted Bayes Theorem Logistic Models Stroke
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Acuity VEP: improved with machine learning.

Documenta ophthalmologica. Advances in ophthalmology Jun 11, 2019
PURPOSE: Acuity-VEP approaches basically all use the information obtained across a number of check sizes (or spatial frequencies) to derive a measure of acuity. Amplitude is always used, sometimes combined with phase or a noise measure. In our approa...
Visual Acuity Evoked Potentials, Visual Electroretinography Humans Neural Networks, Computer Machine Learning Algorithms Prognosis Logistic Models
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Development of machine learning algorithms for prediction of prolonged opioid prescription after surgery for lumbar disc herniation.

The spine journal : official journal of the North American Spine Society Jun 9, 2019
BACKGROUND CONTEXT: Spine surgery has been identified as a risk factor for prolonged postoperative opioid use. Preoperative prediction of opioid use could improve risk stratification, shared decision-making, and patient counseling before surgery.
Machine Learning Retrospective Studies Female Adult Male Humans Lumbar Vertebrae Analgesics, Opioid Intervertebral Disc Displacement Middle Aged Drug Administration Schedule Case-Control Studies Orthopedic Procedures Logistic Models Pain, Postoperative
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Mining patient-specific and contextual data with machine learning technologies to predict cancellation of children's surgery.

International journal of medical informatics Jun 8, 2019
BACKGROUND: Last-minute surgery cancellation represents a major wastage of resources and can cause significant inconvenience to patients. Our objectives in this study were: 1) To develop predictive models of last-minute surgery cancellation, utilizin...
Logistic Models Data Mining Humans General Surgery Machine Learning Electronic Health Records Child ROC Curve
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Prediction models for high risk of suicide in Korean adolescents using machine learning techniques.

PloS one Jun 6, 2019
OBJECTIVE: Suicide in adolescents is a major problem worldwide and previous history of suicide ideation and attempt represents the strongest predictors of future suicidal behavior. The aim of this study was to develop prediction model to identify Kor...
ROC Curve Logistic Models Risk Factors Models, Theoretical Humans Male Adolescent Multivariate Analysis Machine Learning Suicide Republic of Korea Female
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