AIMC Topic: Machine Learning

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Using Machine Learning Applied to Real-World Healthcare Data for Predictive Analytics: An Applied Example in Bariatric Surgery.

Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research May 1, 2019
OBJECTIVES: Laparoscopic metabolic surgery (MxS) can lead to remission of type 2 diabetes (T2D); however, treatment response to MxS can be heterogeneous. Here, we demonstrate an open-source predictive analytics platform that applies machine-learning ...
Male Humans Bariatric Surgery Middle Aged Machine Learning Diabetes Mellitus, Type 2 Databases, Factual Insurance Claim Review Hypoglycemic Agents Female
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Validity of Natural Language Processing for Ascertainment of and Test Results in SEER Cases of Stage IV Non-Small-Cell Lung Cancer.

JCO clinical cancer informatics May 1, 2019
PURPOSE: SEER registries do not report results of epidermal growth factor receptor () and anaplastic lymphoma kinase () mutation tests. To facilitate population-based research in molecularly defined subgroups of non-small-cell lung cancer (NSCLC), we...
Humans Population Surveillance ErbB Receptors Machine Learning Natural Language Processing Reproducibility of Results Anaplastic Lymphoma Kinase Mutation Genetic Testing Aged Registries Algorithms SEER Program Male Adult Female Middle Aged DNA Mutational Analysis Lung Neoplasms Kentucky Carcinoma, Non-Small-Cell Lung
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Physical Activity Change in an RCT: Comparison of Measurement Methods.

American journal of health behavior May 1, 2019
We aimed to quantify the agreement between self-report, standard cut-point accelerometer, and machine learning accelerometer estimates of physical activity (PA), and exam- ine how agreement changes over time among older adults in an intervention set...
Humans Self Report Machine Learning Accelerometry Aged Female Cancer Survivors Middle Aged Exercise Randomized Controlled Trials as Topic
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Big data and machine learning algorithms for health-care delivery.

The Lancet. Oncology May 1, 2019
Analysis of big data by machine learning offers considerable advantages for assimilation and evaluation of large amounts of complex health-care data. However, to effectively use machine learning tools in health care, several limitations must be addre...
Neural Networks, Computer Machine Learning Neoplasms Diagnosis, Computer-Assisted Medical Oncology Therapy, Computer-Assisted Health Services Research Big Data Data Mining Humans Delivery of Health Care, Integrated
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Ethical challenges of machine learning and deep learning algorithms.

The Lancet. Oncology May 1, 2019
Predictive Value of Tests Therapy, Computer-Assisted Physician's Role Clinical Decision-Making Reproducibility of Results Humans Diagnosis, Computer-Assisted Machine Learning Deep Learning Patient Safety Decision Support Systems, Clinical
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Machine learning-based preoperative predictive analytics for lumbar spinal stenosis.

Neurosurgical focus May 1, 2019
OBJECTIVEPatient-reported outcome measures (PROMs) following decompression surgery for lumbar spinal stenosis (LSS) demonstrate considerable heterogeneity. Individualized prediction tools can provide valuable insights for shared decision-making. The ...
Spinal Stenosis Decompression, Surgical Humans Recovery of Function Retrospective Studies Predictive Value of Tests Male Female Machine Learning Lumbar Vertebrae Middle Aged Aged Length of Stay Feasibility Studies Treatment Outcome Algorithms
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Machine Learning and Deep Neural Networks in Thoracic and Cardiovascular Imaging.

Journal of thoracic imaging May 1, 2019
Advances in technology have always had the potential and opportunity to shape the practice of medicine, and in no medical specialty has technology been more rapidly embraced and adopted than radiology. Machine learning and deep neural networks promis...
Cardiovascular System Thoracic Diseases Humans Neural Networks, Computer Image Processing, Computer-Assisted Diagnostic Imaging Thorax Machine Learning Cardiovascular Diseases
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Ascent of machine learning in medicine.

Nature materials May 1, 2019
Machine Learning Algorithms Biomarkers Prognosis Humans Diabetic Retinopathy Diagnosis, Computer-Assisted Genomics Computational Biology Proteomics Drug Development Reproducibility of Results Diagnostic Errors Neoplasms Drug Discovery Technology, Pharmaceutical Epidemiology
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How to develop machine learning models for healthcare.

Nature materials May 1, 2019
Machine Learning Medical Informatics Algorithms Prognosis Diagnostic Errors Reproducibility of Results Humans Cardiovascular Diseases Models, Theoretical Diagnosis, Computer-Assisted Diabetic Retinopathy Echocardiography Predictive Value of Tests Image Processing, Computer-Assisted Drug Discovery Radiotherapy Planning, Computer-Assisted
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Leveraging machine vision in cell-based diagnostics to do more with less.

Nature materials May 1, 2019
Software Algorithms Phenotype Biomarkers Precision Medicine Humans Neural Networks, Computer Machine Learning Diagnostic Imaging Biopsy Cytological Techniques Microfluidics Diagnostic Techniques and Procedures Prognosis Diagnosis, Computer-Assisted Single-Cell Analysis Image Processing, Computer-Assisted
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