AIMC Topic: Middle Aged

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Using Predictive Modeling and Machine Learning to Identify Patients Appropriate for Outpatient Anterior Cervical Fusion and Discectomy.

Spine May 15, 2021
STUDY DESIGN: Retrospective, case-control.
Spinal Diseases Diskectomy Female Risk Factors Adult Male Humans Middle Aged Machine Learning Case-Control Studies Cohort Studies Databases, Factual Predictive Value of Tests Retrospective Studies Cervical Vertebrae Spinal Fusion Quality Improvement Ambulatory Surgical Procedures
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Predicting in-hospital mortality in ICU patients with sepsis using gradient boosting decision tree.

Medicine May 14, 2021
Sepsis is a leading cause of mortality in the intensive care unit. Early prediction of sepsis can reduce the overall mortality rate and cost of sepsis treatment. Some studies have predicted mortality and development of sepsis using machine learning m...
Male Middle Aged Sepsis Adolescent Hospital Mortality ROC Curve Clinical Decision Rules Logistic Models Support Vector Machine Intensive Care Units Decision Trees Female Humans Aged Machine Learning Aged, 80 and over Algorithms Young Adult Adult
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Comparisons between Locomat and Walkbot robotic gait training regarding balance and lower extremity function among non-ambulatory chronic acquired brain injury survivors.

Medicine May 7, 2021
Lower limb rehabilitation exoskeleton robots connect with the human body in a wearable way and control the movement of joints in the gait rehabilitation process. Among treadmill-based lower limb rehabilitation exoskeleton robots, Lokomat (Hocoma AG, ...
Rehabilitation Centers Paraplegia Brain Injury, Chronic Robotics Gait Adult Combined Modality Therapy Cross-Sectional Studies Exoskeleton Device Male Physical Therapy Modalities Humans Middle Aged Survivors Retrospective Studies Treatment Outcome Female Brain Injuries, Traumatic
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Four Biomarkers-Based Artificial Neural Network Model for Accurate Early Prediction of Bacteremia with Low-level Procalcitonin.

Annals of clinical and laboratory science May 1, 2021
OBJECTIVE: Procalcitonin levels above 2.0 ng/mL are associated with a higher risk of severe sepsis. Bacteremia with procalcitonin levels lower than 2.0 ng/mL has not received much attention, and relevant prediction models are lacking. Herein, a panel...
Retrospective Studies Female Aged Aged, 80 and over Young Adult Adult Male Middle Aged Case-Control Studies Humans Adolescent Procalcitonin Neural Networks, Computer Bacteria C-Reactive Protein Interleukin-6 Bacteremia Lactic Acid Biomarkers
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Deep-learning-based cardiovascular risk stratification using coronary artery calcium scores predicted from retinal photographs.

The Lancet. Digital health May 1, 2021
BACKGROUND: Coronary artery calcium (CAC) score is a clinically validated marker of cardiovascular disease risk. We developed and validated a novel cardiovascular risk stratification system based on deep-learning-predicted CAC from retinal photograph...
Coronary Artery Disease Retina United Kingdom Proportional Hazards Models Kaplan-Meier Estimate Vascular Calcification Risk Assessment Deep Learning ROC Curve Predictive Value of Tests Area Under Curve Singapore Humans Algorithms Republic of Korea Female Aged Adult Male Cardiovascular Diseases Middle Aged
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Combining In Vivo Corneal Confocal Microscopy With Deep Learning-Based Analysis Reveals Sensory Nerve Fiber Loss in Acute Simian Immunodeficiency Virus Infection.

Cornea May 1, 2021
PURPOSE: To characterize corneal subbasal nerve plexus features of normal and simian immunodeficiency virus (SIV)-infected macaques by combining in vivo corneal confocal microscopy (IVCM) with automated assessments using deep learning-based methods c...
Middle Aged Deep Learning Real-Time Polymerase Chain Reaction Microscopy, Confocal Disease Models, Animal Acute Disease Humans Neural Networks, Computer Female Cornea Animals Male Simian Immunodeficiency Virus RNA, Viral Trigeminal Nerve Diseases Nerve Fibers Macaca mulatta Eye Infections, Viral Macaca nemestrina Simian Acquired Immunodeficiency Syndrome
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Interactive Web Application for Plotting Personalized Prognosis Prediction Curves in Allogeneic Hematopoietic Cell Transplantation Using Machine Learning.

Transplantation May 1, 2021
BACKGROUND: Allogeneic hematopoietic cell transplantation (allo-HCT) is a curative treatment option for malignant hematological disorders. Transplant clinicians estimate patient-specific prognosis empirically in clinical practice based on previous st...
Female Risk Factors Aged Young Adult Adult Male Humans Machine Learning Decision Support Techniques Retrospective Studies Cause of Death Internet Progression-Free Survival Middle Aged Hematopoietic Stem Cell Transplantation Risk Assessment Transplantation, Homologous Disease Progression Recurrence Adolescent Computer Graphics Time Factors Predictive Value of Tests
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Evaluation of a deep learning-based computer-aided detection algorithm on chest radiographs: Case-control study.

Medicine Apr 23, 2021
Along with recent developments in deep learning techniques, computer-aided diagnosis (CAD) has been growing rapidly in the medical imaging field. In this work, we evaluate the deep learning-based CAD algorithm (DCAD) for detecting and localizing 3 ma...
Radiographic Image Interpretation, Computer-Assisted Lung Diseases Observer Variation Radiography, Thoracic Humans Pneumothorax Female Reproducibility of Results Aged Male Middle Aged Case-Control Studies Deep Learning ROC Curve Lung Neoplasms Thoracic Neoplasms Area Under Curve
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Computerized tumor multinucleation index (MuNI) is prognostic in p16+ oropharyngeal carcinoma.

The Journal of clinical investigation Apr 15, 2021
BACKGROUNDPatients with p16+ oropharyngeal squamous cell carcinoma (OPSCC) are potentially cured with definitive treatment. However, there are currently no reliable biomarkers of treatment failure for p16+ OPSCC. Pathologist-based visual assessment o...
Humans Female Aged Cyclin-Dependent Kinase Inhibitor p16 Survival Rate Disease-Free Survival Middle Aged Biomarkers, Tumor Male Deep Learning Image Processing, Computer-Assisted Squamous Cell Carcinoma of Head and Neck Head and Neck Neoplasms Follow-Up Studies
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Merged Affinity Network Association Clustering: Joint multi-omic/clinical clustering to identify disease endotypes.

Cell reports Apr 13, 2021
Although clinical and laboratory data have long been used to guide medical practice, this information is rarely integrated with multi-omic data to identify endotypes. We present Merged Affinity Network Association Clustering (MANAclust), a coding-fre...
Feces Proteomics Allergens Humans Gene Expression Profiling Precision Medicine Epigenome Cluster Analysis Transcriptome Datasets as Topic Female Unsupervised Machine Learning Case-Control Studies Gene Expression Regulation Adult Benchmarking Adolescent Atlases as Topic Asthma Microbiota Child, Preschool Nasal Cavity Male Child Middle Aged
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