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Impact of labor characteristics on maternal and neonatal outcomes of labor: A machine-learning model

PloS one, 2022-08, Vol.17 (8), p.e0273178-e0273178

2022

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Introduction to Machine Learning in Obstetrics and Gynecology

Obstetrics and gynecology (New York. 1953), 2022-04, Vol.139 (4), p.669-679

2022

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Estimation of manual wheelchair-based activities in the free-living environment using a neural network model with inertial body-worn sensors

Journal of electromyography and kinesiology, 2022-02, Vol.62, p.102337-102337, Article 102337

2022

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A prediction model for asthma exacerbations after stopping asthma biologics

Annals of allergy, asthma, & immunology, 2023-03, Vol.130 (3), p.305-311

2023

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Quality over quantity: skeletal loading intensity plays a key role in understanding the relationship between physical activity and bone density in postmenopausal women

Menopause (New York, N.Y.), 2020-04, Vol.27 (4), p.444-449

2020

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Use of Mechanical Circulatory Support Devices Among Patients With Acute Myocardial Infarction Complicated by Cardiogenic Shock

JAMA network open, 2021-02, Vol.4 (2), p.e2037748-e2037748

2021

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Comparative Effectiveness and Safety of Oral Anticoagulants Across Kidney Function in Patients With Atrial Fibrillation

Circulation Cardiovascular quality and outcomes, 2020-10, Vol.13 (10), p.e006515-e006515

2020

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Longitudinal cohorts for harnessing the electronic health record for disease prediction in a US population

BMJ open, 2021-06, Vol.11 (6), p.e044353-e044353

2021

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P485: Navigating the genetic odyssey: Enhancing early recognition and referral for precise diagnosis through human phenotype analysis

Genetics in Medicine Open, 2024, Vol.2, p.101384, Article 101384

2024

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Improved Interpretability of Machine Learning Model Using Unsupervised Clustering: Predicting Time to First Treatment in Chronic Lymphocytic Leukemia

JCO clinical cancer informatics, 2019-05 (3), p.1-11

2019

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Identifying Patients With Advanced Heart Failure Using Administrative Data

Mayo Clinic proceedings. Innovations, quality & outcomes, 2022-04, Vol.6 (2), p.148-155

2022

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Clinical Phenotyping with an Outcomes-driven Mixture of Experts for Patient Matching and Risk Estimation

ACM transactions on computing for healthcare, 2023-10, Vol.4 (4), p.1-18, Article 21

2023

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Beyond Atrial Fibrillation: Machine Learning Algorithm Predicts Stroke in Adult Patients With Congenital Heart Disease

Mayo Clinic Proceedings. Digital health, 2024-03, Vol.2 (1), p.92-103

2024

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Omalizumab Utilization Trends for Asthma in the US from 2003-2015

Journal of allergy and clinical immunology, 2017-02, Vol.139 (2), p.AB90-AB90

2017

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Differences in Physical Activity and Sedentary Behavior Patterns of Postmenopausal Women With Normal vs. Low Total Hip Bone Mineral Density

Frontiers in sports and active living, 2020-07, Vol.2, p.83

2020

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UNSUPERVISED LABELING OF DATA FOR SUPERVISED LEARNING AND ITS APPLICATION TO MEDICAL CLAIMS PREDICTION

Computer science : annual of University of Mining and Metallurgy, 2013, Vol.14 (3), p.191

2013

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Measuring the impact of ambulatory red blood cell transfusion on home functional status: study protocol for a pilot randomized controlled trial

Trials, 2017-03, Vol.18 (1), p.153-153, Article 153

2017

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Association of Use of an Intravascular Microaxial Left Ventricular Assist Device vs Intra-aortic Balloon Pump With In-Hospital Mortality and Major Bleeding Among Patients With Acute Myocardial Infarction Complicated by Cardiogenic Shock

JAMA : the journal of the American Medical Association, 2020-02, Vol.323 (8), p.734

2020

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Automated Diabetes Case Identification Using Electronic Health Record Data at a Tertiary Care Facility

Mayo Clinic proceedings. Innovations, quality & outcomes, 2017-07, Vol.1 (1), p.100-110

2017

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Sa1540 PREDICTING CIRRHOSIS RELATED READMISSION VIA MACHINE LEARNING USING TIME SERIES DATA

Gastroenterology (New York, N.Y. 1943), 2024-05, Vol.166 (5), p.S-1574-S-1574

2024

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Mixed effect machine learning: A framework for predicting longitudinal change in hemoglobin A1c

Journal of biomedical informatics, 2019-01, Vol.89, p.56-67

2019

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Development and validation of explainable machine learning prediction model for asthma exacerbations in people who stop asthma biologics

Journal of allergy and clinical immunology, 2022-02, Vol.149 (2), p.AB44-AB44

2022

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Abstract 10062: Administrative Data Algorithms Can Identify Patients with Advanced Heart Failure

Circulation (New York, N.Y.), 2021-11, Vol.144 (Suppl_1)

2021

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Screening for idiopathic pulmonary fibrosis using comorbidity signatures in electronic health records

Nature medicine, 2022-10, Vol.28 (10), p.2107-2116

2022

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Extreme logistic regression

Advances in data analysis and classification, 2016-03, Vol.10 (1), p.27-52

2016

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Impact of labor characteristics on maternal and neonatal outcomes of labor: A machine-learning model

Introduction to Machine Learning in Obstetrics and Gynecology

Estimation of manual wheelchair-based activities in the free-living environment using a neural network model with inertial body-worn sensors

A prediction model for asthma exacerbations after stopping asthma biologics

Quality over quantity: skeletal loading intensity plays a key role in understanding the relationship between physical activity and bone density in postmenopausal women

Use of Mechanical Circulatory Support Devices Among Patients With Acute Myocardial Infarction Complicated by Cardiogenic Shock

Comparative Effectiveness and Safety of Oral Anticoagulants Across Kidney Function in Patients With Atrial Fibrillation

Longitudinal cohorts for harnessing the electronic health record for disease prediction in a US population

P485: Navigating the genetic odyssey: Enhancing early recognition and referral for precise diagnosis through human phenotype analysis

Improved Interpretability of Machine Learning Model Using Unsupervised Clustering: Predicting Time to First Treatment in Chronic Lymphocytic Leukemia

Identifying Patients With Advanced Heart Failure Using Administrative Data

Clinical Phenotyping with an Outcomes-driven Mixture of Experts for Patient Matching and Risk Estimation

Beyond Atrial Fibrillation: Machine Learning Algorithm Predicts Stroke in Adult Patients With Congenital Heart Disease

Omalizumab Utilization Trends for Asthma in the US from 2003-2015

Differences in Physical Activity and Sedentary Behavior Patterns of Postmenopausal Women With Normal vs. Low Total Hip Bone Mineral Density

UNSUPERVISED LABELING OF DATA FOR SUPERVISED LEARNING AND ITS APPLICATION TO MEDICAL CLAIMS PREDICTION

Measuring the impact of ambulatory red blood cell transfusion on home functional status: study protocol for a pilot randomized controlled trial

Association of Use of an Intravascular Microaxial Left Ventricular Assist Device vs Intra-aortic Balloon Pump With In-Hospital Mortality and Major Bleeding Among Patients With Acute Myocardial Infarction Complicated by Cardiogenic Shock

Automated Diabetes Case Identification Using Electronic Health Record Data at a Tertiary Care Facility

Sa1540 PREDICTING CIRRHOSIS RELATED READMISSION VIA MACHINE LEARNING USING TIME SERIES DATA

Mixed effect machine learning: A framework for predicting longitudinal change in hemoglobin A1c

Development and validation of explainable machine learning prediction model for asthma exacerbations in people who stop asthma biologics

Abstract 10062: Administrative Data Algorithms Can Identify Patients with Advanced Heart Failure

Screening for idiopathic pulmonary fibrosis using comorbidity signatures in electronic health records

Extreme logistic regression

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