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Machine Learning and Prediction in Medicine — Beyond the Peak of Inflated Expectations

The New England journal of medicine, 2017-06, Vol.376 (26), p.2507-2509

2017

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Risk of Hepatocellular Cancer in HCV Patients Treated with Direct Acting Antiviral Agents

Gastroenterology (New York, N.Y. 1943), 2017-10, Vol.153 (4), p.996-1005.e1

2017

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Disruptive Models in Primary Care: Caring for High-Needs, High-Cost Populations

Journal of general internal medicine : JGIM, 2017-04, Vol.32 (4), p.392-397

2017

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Effect of Metabolic Traits on the Risk of Cirrhosis and Hepatocellular Cancer in Nonalcoholic Fatty Liver Disease

Hepatology (Baltimore, Md.), 2020-03, Vol.71 (3), p.808-819

2020

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Effect of Emergency Department Crowding on Outcomes of Admitted Patients

Annals of emergency medicine, 2013-06, Vol.61 (6), p.605-611.e6

2013

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Predicting inadequate postoperative pain management in depressed patients: A machine learning approach

PloS one, 2019-02, Vol.14 (2), p.e0210575-e0210575

2019

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Developing a delivery science for artificial intelligence in healthcare

NPJ digital medicine, 2020-08, Vol.3 (1), p.107-107, Article 107

2020

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Development and Initial Validation of the PEG, a Three-item Scale Assessing Pain Intensity and Interference

Journal of general internal medicine : JGIM, 2009-06, Vol.24 (6), p.733-738

2009

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Postoperative opioid prescribing patients with diabetes: Opportunities for personalized pain management

PloS one, 2023-08, Vol.18 (8), p.e0287697-e0287697

2023

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The Quality of Health Care Delivered to Adults in the United States

The New England journal of medicine, 2003-06, Vol.348 (26), p.2635-2645

2003

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The high resource impact of reformatting requirements for scientific papers

PloS one, 2019-10, Vol.14 (10), p.e0223976-e0223976

2019

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Colorectal Cancer Screening in the Era of the Affordable Care Act

Journal of general internal medicine : JGIM, 2016-03, Vol.31 (3), p.315-320

2016

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Prediction of opioid-related outcomes in a medicaid surgical population: Evidence to guide postoperative opiate therapy and monitoring

PLoS computational biology, 2023-08, Vol.19 (8), p.e1011376-e1011376

2023

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Rapid Implementation of Video Visits in Neurology During COVID-19: Mixed Methods Evaluation

Journal of medical Internet research, 2020-12, Vol.22 (12), p.e24328-e24328

2020

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Myocardial Infarction Across COVID-19 Pandemic Phases: Insights From the Veterans Health Affairs System

Journal of the American Heart Association, 2023-07, Vol.12 (14), p.e029910

2023

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Humanwide: A Comprehensive Data Base for Precision Health in Primary Care

Annals of family medicine, 2019-05, Vol.17 (3), p.273-273

2019

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Implementation of clinical practice changes in the PICU: a qualitative study using and refining the iPARIHS framework

Implementation science : IS, 2021-01, Vol.16 (1), p.15-15, Article 15

2021

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Barriers and Facilitators to the Implementation of Family-Centered Technology in Complex Care: Feasibility Study

Journal of medical Internet research, 2022-08, Vol.24 (8), p.e30902-e30902

2022

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"Diving in the deep-end and swimming": a mixed methods study using normalization process theory to evaluate a learning collaborative approach for the implementation of palliative care practices in hemodialysis centers

BMC health services research, 2023-12, Vol.23 (1), p.1384-1384, Article 1384

2023

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Evidence-Based Standards for Cancer Pain Management

Journal of clinical oncology, 2008-08, Vol.26 (23), p.3879-3885

2008

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Evidence-Based Recommendations for Cancer Fatigue, Anorexia, Depression, and Dyspnea

Journal of clinical oncology, 2008-08, Vol.26 (23), p.3886-3895

2008

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Teledermatology to Facilitate Patient Care Transitions From Inpatient to Outpatient Dermatology: Mixed Methods Evaluation

Journal of medical Internet research, 2022-08, Vol.24 (8), p.e38792-e38792

2022

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Evidence-Based Recommendations for Cancer Nausea and Vomiting

Journal of clinical oncology, 2008-08, Vol.26 (23), p.3903-3910

2008

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What Did the COVID Stress Test Reveal About How We Should Deliver Care in the USA?

Journal of general internal medicine : JGIM, 2021-11, Vol.36 (11), p.3305-3306

Asch, Steven M.

2021

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Development, Validation, and Evaluation of a Simple Machine Learning Model to Predict Cirrhosis Mortality

JAMA network open, 2020-11, Vol.3 (11), p.e2023780-e2023780

2020

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Machine Learning and Prediction in Medicine — Beyond the Peak of Inflated Expectations

Risk of Hepatocellular Cancer in HCV Patients Treated with Direct Acting Antiviral Agents

Disruptive Models in Primary Care: Caring for High-Needs, High-Cost Populations

Effect of Metabolic Traits on the Risk of Cirrhosis and Hepatocellular Cancer in Nonalcoholic Fatty Liver Disease

Effect of Emergency Department Crowding on Outcomes of Admitted Patients

Predicting inadequate postoperative pain management in depressed patients: A machine learning approach

Developing a delivery science for artificial intelligence in healthcare

Development and Initial Validation of the PEG, a Three-item Scale Assessing Pain Intensity and Interference

Postoperative opioid prescribing patients with diabetes: Opportunities for personalized pain management

The Quality of Health Care Delivered to Adults in the United States

The high resource impact of reformatting requirements for scientific papers

Colorectal Cancer Screening in the Era of the Affordable Care Act

Prediction of opioid-related outcomes in a medicaid surgical population: Evidence to guide postoperative opiate therapy and monitoring

Rapid Implementation of Video Visits in Neurology During COVID-19: Mixed Methods Evaluation

Myocardial Infarction Across COVID-19 Pandemic Phases: Insights From the Veterans Health Affairs System

Humanwide: A Comprehensive Data Base for Precision Health in Primary Care

Implementation of clinical practice changes in the PICU: a qualitative study using and refining the iPARIHS framework

Barriers and Facilitators to the Implementation of Family-Centered Technology in Complex Care: Feasibility Study

"Diving in the deep-end and swimming": a mixed methods study using normalization process theory to evaluate a learning collaborative approach for the implementation of palliative care practices in hemodialysis centers

Evidence-Based Standards for Cancer Pain Management

Evidence-Based Recommendations for Cancer Fatigue, Anorexia, Depression, and Dyspnea

Teledermatology to Facilitate Patient Care Transitions From Inpatient to Outpatient Dermatology: Mixed Methods Evaluation

Evidence-Based Recommendations for Cancer Nausea and Vomiting

What Did the COVID Stress Test Reveal About How We Should Deliver Care in the USA?

Development, Validation, and Evaluation of a Simple Machine Learning Model to Predict Cirrhosis Mortality

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