AIMC Topic: United States

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Characteristics of Twitter Use by State Medicaid Programs in the United States: Machine Learning Approach.

Journal of medical Internet research Aug 17, 2020
BACKGROUND: Twitter is a potentially valuable tool for public health officials and state Medicaid programs in the United States, which provide public health insurance to 72 million Americans.
Machine Learning United States Social Media Medicaid Humans
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Prediction of respiratory decompensation in Covid-19 patients using machine learning: The READY trial.

Computers in biology and medicine Aug 6, 2020
BACKGROUND: Currently, physicians are limited in their ability to provide an accurate prognosis for COVID-19 positive patients. Existing scoring systems have been ineffective for identifying patient decompensation. Machine learning (ML) may offer an ...
Adult Sensitivity and Specificity Male Middle Aged Respiration, Artificial Prognosis Female SARS-CoV-2 Aged Aged, 80 and over COVID-19 Testing COVID-19 Drug Treatment Clinical Laboratory Techniques Computational Biology Betacoronavirus Humans Machine Learning United States Pneumonia, Viral Pandemics Triage COVID-19 Coronavirus Infections Algorithms Respiratory Insufficiency Prospective Studies
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Using machine learning algorithms to review computed tomography scans and assess risk for cardiovascular disease: Retrospective analysis from the National Lung Screening Trial (NLST).

PloS one Aug 3, 2020
BACKGROUND: The National Lung Screening Trial (NLST) demonstrated that annual screening with low dose CT in high-risk population was associated with reduction in lung cancer mortality. Nonetheless, the leading cause of mortality in the study was from...
Risk Assessment Lung Emphysema Female Lung Neoplasms Risk Factors Cigarette Smoking Fatty Liver Mass Screening Male Humans Coronary Vessels Early Detection of Cancer United States Cardiovascular Diseases Machine Learning Clinical Trials, Phase III as Topic Liver Retrospective Studies Middle Aged National Cancer Institute (U.S.) Randomized Controlled Trials as Topic Tomography, X-Ray Computed Radiographic Image Interpretation, Computer-Assisted
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Robust Estimation of Breast Cancer Incidence Risk in Presence of Incomplete or Inaccurate Information.

Asian Pacific journal of cancer prevention : APJCP Aug 1, 2020
PURPOSE: To evaluate the robustness of multiple machine learning classifiers for breast cancer risk estimation in the presence of incomplete or inaccurate information.
Machine Learning Prognosis Female Aged Aged, 80 and over Humans Neural Networks, Computer ROC Curve United States Follow-Up Studies Data Interpretation, Statistical Adult Breast Neoplasms Middle Aged Incidence
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Economic Challenges of Artificial Intelligence Adoption for Diabetic Retinopathy.

Ophthalmology Jul 25, 2020
Humans Diabetic Retinopathy Artificial Intelligence Sensitivity and Specificity United States Ophthalmology Medicare Diagnostic Techniques, Ophthalmological Reimbursement Mechanisms
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Use of AI-based tools for healthcare purposes: a survey study from consumers' perspectives.

BMC medical informatics and decision making Jul 22, 2020
BACKGROUND: Several studies highlight the effects of artificial intelligence (AI) systems on healthcare delivery. AI-based tools may improve prognosis, diagnostics, and care planning. It is believed that AI will be an integral part of healthcare serv...
Adult Humans United States Male Artificial Intelligence Health Facilities Delivery of Health Care Middle Aged Female Surveys and Questionnaires Young Adult Decision Support Systems, Clinical
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Exploring supervised machine learning approaches to predicting Veterans Health Administration chiropractic service utilization.

Chiropractic & manual therapies Jul 17, 2020
BACKGROUND: Chronic spinal pain conditions affect millions of US adults and carry a high healthcare cost burden, both direct and indirect. Conservative interventions for spinal pain conditions, including chiropractic care, have been associated with l...
Patient Acceptance of Health Care Manipulation, Chiropractic United States Predictive Value of Tests Supervised Machine Learning Musculoskeletal Pain Veterans Health Female Adult Male Middle Aged Humans Algorithms Retrospective Studies
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Using machine learning to predict risk of incident opioid use disorder among fee-for-service Medicare beneficiaries: A prognostic study.

PloS one Jul 17, 2020
OBJECTIVE: To develop and validate a machine-learning algorithm to improve prediction of incident OUD diagnosis among Medicare beneficiaries with ≥1 opioid prescriptions.
Humans United States Aged Machine Learning Medicare Male Prognosis Opioid-Related Disorders Middle Aged Female Fee-for-Service Plans Risk Assessment Computational Biology
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Identifying scenarios of benefit or harm from kidney transplantation during the COVID-19 pandemic: A stochastic simulation and machine learning study.

American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons Jul 15, 2020
Clinical decision-making in kidney transplant (KT) during the coronavirus disease 2019 (COVID-19) pandemic is understandably a conundrum: both candidates and recipients may face increased acquisition risks and case fatality rates (CFRs). Given our po...
Infant Adolescent Child, Preschool Child Tissue Donors Aged Young Adult Adult Male Middle Aged United States Kidney Failure, Chronic Waiting Lists Humans Machine Learning Pandemics COVID-19 Kidney Transplantation Female Infant, Newborn SARS-CoV-2
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α-Satellite: An AI-Driven System and Benchmark Datasets for Dynamic COVID-19 Risk Assessment in the United States.

IEEE journal of biomedical and health informatics Jul 15, 2020
The fast evolving and deadly outbreak of coronavirus disease (COVID-19) has posed grand challenges to human society. To slow the spread of virus infections and better respond for community mitigation, by advancing capabilities of artificial intellige...
United States Social Media Benchmarking Coronavirus Infections Betacoronavirus Pneumonia, Viral Humans SARS-CoV-2 Risk Assessment Geographic Information Systems Computer Systems Computational Biology Artificial Intelligence Pandemics COVID-19 Databases, Factual
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