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Using Domain Adaptation and Inductive Transfer Learning to Improve Patient Outcome Prediction in the Intensive Care Unit: Retrospective Observational Study

Using Domain Adaptation and Inductive Transfer Learning to Improve Patient Outcome Prediction in the Intensive Care Unit: Retrospective Observational Study

Maruthi Kumar Mutnuri, Henry Thomas Stelfox, Nils Daniel Forkert, Joon Lee

J Med Internet Res 2024;26:e52730

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Unsupervised Feature Selection to Identify Important ICD-10 and ATC Codes for Machine Learning on a Cohort of Patients With Coronary Heart Disease: Retrospective Study

Unsupervised Feature Selection to Identify Important ICD-10 and ATC Codes for Machine Learning on a Cohort of Patients With Coronary Heart Disease: Retrospective Study

Peyman Ghasemi, Joon Lee

JMIR Med Inform 2024;12:e52896

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Predicting Abnormal Laboratory Blood Test Results in the Intensive Care Unit Using Novel Features Based on Information Theory and Historical Conditional Probability: Observational Study

Predicting Abnormal Laboratory Blood Test Results in the Intensive Care Unit Using Novel Features Based on Information Theory and Historical Conditional Probability: Observational Study

A study by Lee and Maslove [16] used entropy, conditional entropy, and mutual information to measure redundancy in 11 blood tests performed during the first 3 days in the ICU. They found a decreasing trend in the novelty of information throughout the ICU stay, showing that performing additional laboratory tests does not necessarily result in the gain of information.

Camilo E Valderrama, Daniel J Niven, Henry T Stelfox, Joon Lee

JMIR Med Inform 2022;10(6):e35250

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Physical Activity, Sedentary Behavior, and Sleep on Twitter: Multicountry and Fully Labeled Public Data Set for Digital Public Health Surveillance Research

Physical Activity, Sedentary Behavior, and Sleep on Twitter: Multicountry and Fully Labeled Public Data Set for Digital Public Health Surveillance Research

Zahra Shakeri Hossein Abad, Gregory P Butler, Wendy Thompson, Joon Lee

JMIR Public Health Surveill 2022;8(2):e32355

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Crowdsourcing for Machine Learning in Public Health Surveillance: Lessons Learned From Amazon Mechanical Turk

Crowdsourcing for Machine Learning in Public Health Surveillance: Lessons Learned From Amazon Mechanical Turk

Zahra Shakeri Hossein Abad, Gregory P Butler, Wendy Thompson, Joon Lee

J Med Internet Res 2022;24(1):e28749

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A Smartphone App (AnSim) With Various Types and Forms of Messages Using the Transtheoretical Model for Cardiac Rehabilitation in Patients With Coronary Artery Disease: Development and Usability Study

A Smartphone App (AnSim) With Various Types and Forms of Messages Using the Transtheoretical Model for Cardiac Rehabilitation in Patients With Coronary Artery Disease: Development and Usability Study

Jah Yeon Choi, Ji Bak Kim, Sunki Lee, Seo-Joon Lee, Seung Eon Shin, Se Hyun Park, Eun Jin Park, Woohyeun Kim, Jin Oh Na, Cheol Ung Choi, Seung-Woon Rha, Chang Gyu Park, Hong Seog Seo, Jeonghoon Ahn, Hyun-Ghang Jeong, Eung Ju Kim

JMIR Med Inform 2021;9(12):e23285

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Clinicians and Older Adults’ Perceptions of the Utility of Patient-Generated Health Data in Caring for Older Adults: Exploratory Mixed Methods Study

Clinicians and Older Adults’ Perceptions of the Utility of Patient-Generated Health Data in Caring for Older Adults: Exploratory Mixed Methods Study

Ben Kim, Peyman Ghasemi, Paul Stolee, Joon Lee

JMIR Aging 2021;4(4):e29788

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Using Consumer-Grade Physical Activity Trackers to Measure Frailty Transitions in Older Critical Care Survivors: Exploratory Observational Study

Using Consumer-Grade Physical Activity Trackers to Measure Frailty Transitions in Older Critical Care Survivors: Exploratory Observational Study

Ben Yb Kim, Miranda Hunt, John Muscedere, David M Maslove, Joon Lee

JMIR Aging 2021;4(1):e19859

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Electronic Medical Record–Based Case Phenotyping for the Charlson Conditions: Scoping Review

Electronic Medical Record–Based Case Phenotyping for the Charlson Conditions: Scoping Review

Seungwon Lee, Chelsea Doktorchik, Elliot Asher Martin, Adam Giles D'Souza, Cathy Eastwood, Abdel Aziz Shaheen, Christopher Naugler, Joon Lee, Hude Quan

JMIR Med Inform 2021;9(2):e23934

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Using Machine Learning and Smartphone and Smartwatch Data to Detect Emotional States and Transitions: Exploratory Study

Using Machine Learning and Smartphone and Smartwatch Data to Detect Emotional States and Transitions: Exploratory Study

Madeena Sultana, Majed Al-Jefri, Joon Lee

JMIR Mhealth Uhealth 2020;8(9):e17818

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