AIMC Topic: Middle Aged

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A Machine-Learning Approach Using PET-Based Radiomics to Predict the Histological Subtypes of Lung Cancer.

Clinical nuclear medicine Dec 1, 2019
PURPOSE: We sought to distinguish lung adenocarcinoma (ADC) from squamous cell carcinoma using a machine-learning algorithm with PET-based radiomic features.
Image Processing, Computer-Assisted Lung Neoplasms Positron Emission Tomography Computed Tomography Area Under Curve Bayes Theorem Carcinoma, Squamous Cell Humans Aged Machine Learning Male Retrospective Studies Middle Aged Female ROC Curve
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Detecting conversation topics in primary care office visits from transcripts of patient-provider interactions.

Journal of the American Medical Informatics Association : JAMIA Dec 1, 2019
OBJECTIVE: Amid electronic health records, laboratory tests, and other technology, office-based patient and provider communication is still the heart of primary medical care. Patients typically present multiple complaints, requiring physicians to dec...
Physician-Patient Relations Office Visits Datasets as Topic Medical Records Tape Recording Communication Middle Aged Primary Health Care Natural Language Processing Humans Neural Networks, Computer Machine Learning Aged
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What health records data are required for accurate prediction of suicidal behavior?

Journal of the American Medical Informatics Association : JAMIA Dec 1, 2019
OBJECTIVE: The study sought to evaluate how availability of different types of health records data affect the accuracy of machine learning models predicting suicidal behavior.
Suicide Logistic Models Self Report Models, Psychological Risk Assessment Risk Factors Humans Suicide, Attempted Aged Machine Learning Surveys and Questionnaires Adult Electronic Health Records Adolescent Male Female Middle Aged
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Classification of Aortic Dissection and Rupture on Post-contrast CT Images Using a Convolutional Neural Network.

Journal of digital imaging Dec 1, 2019
Aortic dissections and ruptures are life-threatening injuries that must be immediately treated. Our national radiology practice receives dozens of these cases each month, but no automated process is currently available to check for critical pathologi...
Neural Networks, Computer Prospective Studies Tomography, X-Ray Computed Female Reproducibility of Results Sensitivity and Specificity Male Middle Aged Contrast Media Humans Aortic Rupture Radiographic Image Interpretation, Computer-Assisted Aortic Dissection Aorta Radiographic Image Enhancement
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Assessing clinical heterogeneity in sepsis through treatment patterns and machine learning.

Journal of the American Medical Informatics Association : JAMIA Dec 1, 2019
OBJECTIVE: To use unsupervised topic modeling to evaluate heterogeneity in sepsis treatment patterns contained within granular data of electronic health records.
Patient Acuity Quality of Health Care Female Humans Hospitalization Male Aged Middle Aged Anti-Bacterial Agents Aged, 80 and over Retrospective Studies Sepsis Adult Electronic Health Records Hospital Mortality Unsupervised Machine Learning
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Evaluation of a Deep Learning System For Identifying Glaucomatous Optic Neuropathy Based on Color Fundus Photographs.

Journal of glaucoma Dec 1, 2019
PRECIS: Pegasus outperformed 5 of the 6 ophthalmologists in terms of diagnostic performance, and there was no statistically significant difference between the deep learning system and the "best case" consensus between the ophthalmologists. The agreem...
Diagnostic Techniques, Ophthalmological Photography Ophthalmologists Glaucoma, Open-Angle Male Middle Aged Diagnosis, Computer-Assisted Deep Learning ROC Curve Female Area Under Curve Aged Observer Variation Adult Optic Disk Humans Sensitivity and Specificity Optic Nerve Diseases Intraocular Pressure Retrospective Studies
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Investigation of Low-Dose CT Lung Cancer Screening Scan "Over-Range" Issue Using Machine Learning Methods.

Journal of digital imaging Dec 1, 2019
Low-dose computed tomography (CT) lung cancer screening is recommended by the US Preventive Services Task Force for high lung cancer-risk populations. In this study, we investigated an important factor affecting the CT dose-the scan length, for this ...
Humans Machine Learning Tomography, X-Ray Computed Middle Aged Lung Lung Neoplasms Radiographic Image Interpretation, Computer-Assisted Radiation Dosage
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Development and Assessment of a Machine Learning Model to Help Predict Survival Among Patients With Oral Squamous Cell Carcinoma.

JAMA otolaryngology-- head & neck surgery Dec 1, 2019
IMPORTANCE: Predicting survival of oral squamous cell carcinoma through the use of prediction modeling has been underused, and the development of prediction models would augment clinicians' ability to provide absolute risk estimates for individual pa...
Algorithms Databases, Factual Retrospective Studies Female Carcinoma, Squamous Cell Humans Machine Learning United States Follow-Up Studies Neoplasm Staging Survival Rate Mouth Neoplasms Male Middle Aged Risk Assessment
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Artificial Neural Network-Based Prediction of Outcome in Parkinson's Disease Patients Using DaTscan SPECT Imaging Features.

Molecular imaging and biology Dec 1, 2019
PURPOSE: Quantitative analysis of dopamine transporter (DAT) single-photon emission computed tomography (SPECT) images can enhance diagnostic confidence and improve their potential as a biomarker to monitor the progression of Parkinson's disease (PD)...
Neural Networks, Computer Humans Female Male Imaging, Three-Dimensional Middle Aged Treatment Outcome Parkinson Disease Tomography, Emission-Computed, Single-Photon
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OPTICAL COHERENCE TOMOGRAPHY BIOMARKERS TO DISTINGUISH DIABETIC MACULAR EDEMA FROM PSEUDOPHAKIC CYSTOID MACULAR EDEMA USING MACHINE LEARNING ALGORITHMS.

Retina (Philadelphia, Pa.) Dec 1, 2019
PURPOSE: In diabetic patients presenting with macular edema (ME) shortly after cataract surgery, identifying the underlying pathology can be challenging and influence management. Our aim was to develop a simple clinical classifier able to confirm a d...
Female Reproducibility of Results Aged Sensitivity and Specificity Male Humans Diabetic Retinopathy Tomography, Optical Coherence Machine Learning Middle Aged Biomarkers Macular Edema Diagnosis, Computer-Assisted Retrospective Studies Visual Acuity Fluorescein Angiography Predictive Value of Tests Subretinal Fluid Area Under Curve Pseudophakia
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