AIMC Topic: Retrospective Studies

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Machine Learning in Preoperative Prediction of Postoperative Immediate Remission of Histology-Positive Cushing's Disease.

Frontiers in endocrinology Mar 2, 2021
BACKGROUND: There are no established accurate models that use machine learning (ML) methods to preoperatively predict immediate remission after transsphenoidal surgery (TSS) in patients diagnosed with histology-positive Cushing's disease (CD).
Retrospective Studies Female Reproducibility of Results Predictive Value of Tests Area Under Curve Remission Induction Pituitary ACTH Hypersecretion Middle Aged Diagnosis, Computer-Assisted ROC Curve Pituitary Neoplasms Humans Adult Machine Learning Male Algorithms Computer Simulation
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Prediction of Sepsis in COVID-19 Using Laboratory Indicators.

Frontiers in cellular and infection microbiology Mar 2, 2021
BACKGROUND: The outbreak of coronavirus disease 2019 (COVID-19) has become a global public health concern. Many inpatients with COVID-19 have shown clinical symptoms related to sepsis, which will aggravate the deterioration of patients' condition. We...
Retrospective Studies Humans Aged China Female Machine Learning Adult Sepsis SARS-CoV-2 COVID-19 Male ROC Curve Risk Factors Prognosis Middle Aged Logistic Models COVID-19 Testing
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Use of Machine Learning to Develop and Evaluate Models Using Preoperative and Intraoperative Data to Identify Risks of Postoperative Complications.

JAMA network open Mar 1, 2021
IMPORTANCE: Postoperative complications can significantly impact perioperative care management and planning.
Humans Machine Learning Retrospective Studies Female Postoperative Complications Incidence ROC Curve Decision Support Systems, Clinical United States Risk Factors Male Middle Aged Risk Assessment Follow-Up Studies Intraoperative Period Preoperative Period
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Assessment of an Exhaled Breath Test Using High-Pressure Photon Ionization Time-of-Flight Mass Spectrometry to Detect Lung Cancer.

JAMA network open Mar 1, 2021
IMPORTANCE: Exhaled breath is an attractive option for cancer detection. A sensitive and reliable breath test has the potential to greatly facilitate diagnoses and therapeutic monitoring of lung cancer.
Middle Aged Lung Neoplasms Support Vector Machine Follow-Up Studies Mass Spectrometry Early Detection of Cancer Breath Tests Exhalation Humans Algorithms Retrospective Studies Female Reproducibility of Results Male
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Development of a Machine Learning Model Using Electronic Health Record Data to Identify Antibiotic Use Among Hospitalized Patients.

JAMA network open Mar 1, 2021
IMPORTANCE: Comparisons of antimicrobial use among hospitals are difficult to interpret owing to variations in patient case mix. Risk-adjustment strategies incorporating larger numbers of variables haves been proposed as a method to improve compariso...
Female Aged Young Adult Adult Male Machine Learning Anti-Bacterial Agents Retrospective Studies Electronic Health Records Child, Preschool Child Humans Follow-Up Studies Inpatients Antimicrobial Stewardship Middle Aged Risk Assessment Infant Adolescent
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Robust machine learning method for imputing missing values in audiograms collected in children.

International journal of audiology Feb 27, 2021
OBJECTIVE: To assess the accuracy and reliability of a machine learning (ML) algorithm for predicting the full audiograms of hearing-impaired children relative to the common approach (CA).
Humans Machine Learning Retrospective Studies Reproducibility of Results Child Audiometry, Pure-Tone Auditory Threshold
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Optimizing predictive strategies for acute kidney injury after major vascular surgery.

Surgery Feb 27, 2021
BACKGROUND: Postoperative acute kidney injury is common after major vascular surgery and is associated with increased morbidity, mortality, and cost. High-performance risk stratification using a machine learning model can inform strategies that mitig...
Postoperative Complications Comorbidity ROC Curve Vascular Surgical Procedures Female Aged Male Middle Aged Risk Assessment Machine Learning Retrospective Studies Acute Kidney Injury Electronic Health Records Humans
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External validation of automated focal cortical dysplasia detection using morphometric analysis.

Epilepsia Feb 27, 2021
OBJECTIVE: Focal cortical dysplasias (FCDs) are a common cause of drug-resistant focal epilepsy but frequently remain undetected by conventional magnetic resonance imaging (MRI) assessment. The visual detection can be facilitated by morphometric anal...
Malformations of Cortical Development Male Middle Aged Infant Adolescent Child, Preschool Retrospective Studies Child Female Imaging, Three-Dimensional Aged Magnetic Resonance Imaging Young Adult Humans Drug Resistant Epilepsy Adult Neural Networks, Computer
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Direct Attenuation Correction Using Deep Learning for Cardiac SPECT: A Feasibility Study.

Journal of nuclear medicine : official publication, Society of Nuclear Medicine Feb 26, 2021
Dedicated cardiac SPECT scanners with cadmium-zinc-telluride cameras have shown capabilities for shortened scan times or reduced radiation doses, as well as improved image quality. Since most dedicated scanners do not have integrated CT, image quanti...
Image Processing, Computer-Assisted Heart Feasibility Studies Artifacts Tomography, Emission-Computed, Single-Photon Myocardial Perfusion Imaging Single Photon Emission Computed Tomography Computed Tomography Aged Male Middle Aged Deep Learning Humans Retrospective Studies Female
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Deep Learning Whole-Gland and Zonal Prostate Segmentation on a Public MRI Dataset.

Journal of magnetic resonance imaging : JMRI Feb 26, 2021
BACKGROUND: Prostate volume, as determined by magnetic resonance imaging (MRI), is a useful biomarker both for distinguishing between benign and malignant pathology and can be used either alone or combined with other parameters such as prostate-speci...
Prostatic Neoplasms Male Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging Humans Retrospective Studies
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