AIMC Topic:
Predictive Value of Tests

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Machine learning approaches to studying the role of cognitive reserve in conversion from mild cognitive impairment to dementia.

International journal of geriatric psychiatry Apr 15, 2019
OBJECTIVES: The overall aim of the present study was to explore the role of cognitive reserve (CR) in the conversion from mild cognitive impairment (MCI) to dementia. We used traditional and machine learning (ML) techniques to compare converter and n...
Humans Machine Learning Female Cognitive Dysfunction Dementia Longitudinal Studies Predictive Value of Tests Cognitive Reserve Aged Aged, 80 and over Male Middle Aged Disease Progression
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Machine Learning Readmission Risk Modeling: A Pediatric Case Study.

BioMed research international Apr 15, 2019
BACKGROUND: Hospital readmission prediction in pediatric hospitals has received little attention. Studies have focused on the readmission frequency analysis stratified by disease and demographic/geographic characteristics but there are no predictive ...
Patient Discharge Models, Biological Male Patient Readmission Humans Child Machine Learning ROC Curve Female Support Vector Machine Risk Factors Predictive Value of Tests
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Dense networks with relative location awareness for thorax disease identification.

Medical physics Apr 14, 2019
PURPOSE: Chest X-ray is one of the most common examinations for diagnosing heart and lung diseases. Due to the existing of a large number of clinical cases, many automated diagnosis algorithms based on chest X-ray images have been proposed. To our kn...
Radiography, Thoracic Thoracic Diseases Diagnosis, Computer-Assisted Predictive Value of Tests Radiographic Image Interpretation, Computer-Assisted Lung Diseases Pattern Recognition, Automated Humans Neural Networks, Computer Algorithms Databases, Factual
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Predicting daily outcomes in acetaminophen-induced acute liver failure patients with machine learning techniques.

Computer methods and programs in biomedicine Apr 11, 2019
BACKGROUND/OBJECTIVE: Assessing prognosis for acetaminophen-induced acute liver failure (APAP-ALF) patients during the first week of hospitalization often presents significant challenges. Current models such as the King's College Criteria (KCC) and t...
Acetaminophen Liver Failure, Acute Area Under Curve Bayes Theorem Registries Linear Models Humans Middle Aged Machine Learning Severity of Illness Index Databases, Factual Retrospective Studies ROC Curve Prognosis Treatment Outcome Female Predictive Value of Tests Adult Sensitivity and Specificity Male
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Identifying Factors That Affect Patient Survival After Orthotopic Liver Transplant Using Machine-Learning Techniques.

Experimental and clinical transplantation : official journal of the Middle East Society for Organ Transplantation Apr 9, 2019
OBJECTIVES: Survival after liver transplant depends on pretransplant, peritransplant, and posttransplant factors. Identifying effective factors for patient survival after transplant can help transplant centers make better decisions.
Liver Transplantation Adult Iran Cross-Sectional Studies Data Mining Adolescent Retrospective Studies Humans Male Time Factors Female Middle Aged Machine Learning Treatment Outcome Risk Factors Risk Assessment Decision Support Techniques Health Status Aged Predictive Value of Tests Young Adult
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Evidential MACE prediction of acute coronary syndrome using electronic health records.

BMC medical informatics and decision making Apr 9, 2019
BACKGROUND: Major adverse cardiac event (MACE) prediction plays a key role in providing efficient and effective treatment strategies for patients with acute coronary syndrome (ACS) during their hospitalizations. Existing prediction models have limita...
Logistic Models Predictive Value of Tests Acute Coronary Syndrome Machine Learning Prognosis Electronic Health Records Hospitalization Risk Assessment Humans
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Developing neural network models for early detection of cardiac arrest in emergency department.

The American journal of emergency medicine Apr 7, 2019
BACKGROUND: Automated surveillance for cardiac arrests would be useful in overcrowded emergency departments. The purpose of this study is to develop and test artificial neural network (ANN) classifiers for early detection of patients at risk of cardi...
Electronic Health Records Female Aged Adult Male Middle Aged ROC Curve Logistic Models Predictive Value of Tests Emergency Service, Hospital Humans Early Diagnosis Neural Networks, Computer Heart Arrest Retrospective Studies
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Using a machine learning approach to predict outcome after surgery for degenerative cervical myelopathy.

PloS one Apr 4, 2019
Degenerative cervical myelopathy (DCM) is a spinal cord condition that results in progressive non-traumatic compression of the cervical spinal cord. Spine surgeons must consider a large quantity of information relating to disease presentation, imagin...
Spinal Cord Diseases Humans Prospective Studies Comorbidity Machine Learning Female Treatment Outcome Male Predictive Value of Tests Middle Aged Intervertebral Disc Degeneration Postoperative Complications Decompression, Surgical
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Predicting discharge placement after elective surgery for lumbar spinal stenosis using machine learning methods.

European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society Apr 2, 2019
PURPOSE: An excessive amount of total hospitalization is caused by delays due to patients waiting to be placed in a rehabilitation facility or skilled nursing facility (RF/SNF). An accurate preoperative prediction of who would need a RF/SNF place aft...
Humans Neural Networks, Computer Machine Learning Algorithms Spinal Stenosis Netherlands Quality Improvement Patient Transfer Rehabilitation Centers Predictive Value of Tests Female Skilled Nursing Facilities Postoperative Care Aged Elective Surgical Procedures Male Lumbar Vertebrae Middle Aged Patient Discharge
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Automated quantitative tumour response assessment of MRI in neuro-oncology with artificial neural networks: a multicentre, retrospective study.

The Lancet. Oncology Apr 2, 2019
BACKGROUND: The Response Assessment in Neuro-Oncology (RANO) criteria and requirements for a uniform protocol have been introduced to standardise assessment of MRI scans in both clinical trials and clinical practice. However, these criteria mainly re...
Magnetic Resonance Imaging Multicenter Studies as Topic Randomized Controlled Trials as Topic Clinical Trials, Phase II as Topic Predictive Value of Tests Male Disease Progression Diagnosis, Computer-Assisted Time Factors Treatment Outcome Clinical Trials, Phase III as Topic Workflow Tumor Burden Image Interpretation, Computer-Assisted Automation Germany Humans Neural Networks, Computer Databases, Factual Retrospective Studies Female Reproducibility of Results Brain Neoplasms
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