AIMC Topic: Machine Learning

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Commentary: Predicting Spinal Surgery Candidacy From Imaging Data Using Machine Learning.

Neurosurgery Jun 15, 2021
Diagnostic Imaging Humans Neurosurgical Procedures Machine Learning
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Predicting Spinal Surgery Candidacy From Imaging Data Using Machine Learning.

Neurosurgery Jun 15, 2021
BACKGROUND: The referral process for consultation with a spine surgeon remains inefficient, given a substantial proportion of referrals to spine surgeons are nonoperative.
Spinal Stenosis Decompression, Surgical Middle Aged Humans Magnetic Resonance Imaging Machine Learning Lumbar Vertebrae Female Male
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Application of Cooperative Game Theory Principles to Interpret Machine Learning Models of Nonhome Discharge Following Spine Surgery.

Spine Jun 15, 2021
STUDY DESIGN: Retrospective analysis of prospectively acquired data.
Patient Discharge Spinal Diseases Game Theory Machine Learning Risk Factors Postoperative Complications Comorbidity Models, Statistical Spine Humans
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Improving the delivery of palliative care through predictive modeling and healthcare informatics.

Journal of the American Medical Informatics Association : JAMIA Jun 12, 2021
OBJECTIVE: Access to palliative care (PC) is important for many patients with uncontrolled symptom burden from serious or complex illness. However, many patients who could benefit from PC do not receive it early enough or at all. We sought to address...
Palliative Care Area Under Curve Quality Improvement Medical Informatics Middle Aged Humans ROC Curve Decision Support Systems, Clinical Machine Learning Delivery of Health Care Electronic Health Records Female Aged Male
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Machine learning-based outcome prediction and novel hypotheses generation for substance use disorder treatment.

Journal of the American Medical Informatics Association : JAMIA Jun 12, 2021
OBJECTIVE: Substance use disorder is a critical public health issue. Discovering the synergies among factors impacting treatment program success can help governments and treatment facilities develop effective policies. In this work, we propose a nove...
Humans Neural Networks, Computer Machine Learning Prognosis Logistic Models Substance-Related Disorders
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Development and validation of a machine learning model predicting illness trajectory and hospital utilization of COVID-19 patients: A nationwide study.

Journal of the American Medical Informatics Association : JAMIA Jun 12, 2021
OBJECTIVE: The spread of coronavirus disease 2019 (COVID-19) has led to severe strain on hospital capacity in many countries. We aim to develop a model helping planners assess expected COVID-19 hospital resource utilization based on individual patien...
Israel Proportional Hazards Models Length of Stay Models, Statistical Registries Hospitalization Aged Aged, 80 and over Middle Aged Hospitals Adult Male COVID-19 Prognosis Female Humans Machine Learning
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Developing a standardized protocol for computational sentiment analysis research using health-related social media data.

Journal of the American Medical Informatics Association : JAMIA Jun 12, 2021
OBJECTIVE: Sentiment analysis is a popular tool for analyzing health-related social media content. However, existing studies exhibit numerous methodological issues and inconsistencies with respect to research design and results reporting, which could...
Humans Machine Learning Data Analysis Attitude to Health Social Media Natural Language Processing Data Curation
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Automated model versus treating physician for predicting survival time of patients with metastatic cancer.

Journal of the American Medical Informatics Association : JAMIA Jun 12, 2021
OBJECTIVE: Being able to predict a patient's life expectancy can help doctors and patients prioritize treatments and supportive care. For predicting life expectancy, physicians have been shown to outperform traditional models that use only a few pred...
Humans Machine Learning Prognosis ROC Curve Male Area Under Curve Neoplasm Metastasis Electronic Health Records Kaplan-Meier Estimate Female Middle Aged Life Expectancy Aged Radiation Oncologists Neoplasms
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Machine-learning model to predict the cause of death using a stacking ensemble method for observational data.

Journal of the American Medical Informatics Association : JAMIA Jun 12, 2021
OBJECTIVE: Cause of death is used as an important outcome of clinical research; however, access to cause-of-death data is limited. This study aimed to develop and validate a machine-learning model that predicts the cause of death from the patient's l...
Prognosis Republic of Korea ROC Curve Humans Machine Learning Databases, Factual Area Under Curve Cause of Death Medical Records Systems, Computerized Observation Decision Support Systems, Clinical United States Models, Statistical
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The Impossibility of Automating Ambiguity.

Artificial life Jun 11, 2021
On the one hand, complexity science and enactive and embodied cognitive science approaches emphasize that people, as complex adaptive systems, are ambiguous, indeterminable, and inherently unpredictable. On the other, Machine Learning (ML) systems th...
Social Behavior Humans Artificial Intelligence Machine Learning
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