Viewpoints on and Experiences with Digital Technologies in Health
View E-collection for ‘Viewpoints on and Experiences with Digital Technologies in Health’![A Roadmap for Boosting Model Generalizability for Predicting Hospital Encounters for Asthma A Roadmap for Boosting Model Generalizability for Predicting Hospital Encounters for Asthma](https://asset.jmir.pub/assets/ef4e457a85101b8d1f7d18dc93402b9c.png 480w,https://asset.jmir.pub/assets/ef4e457a85101b8d1f7d18dc93402b9c.png 960w,https://asset.jmir.pub/assets/ef4e457a85101b8d1f7d18dc93402b9c.png 1920w,https://asset.jmir.pub/assets/ef4e457a85101b8d1f7d18dc93402b9c.png 2500w)
A Roadmap for Boosting Model Generalizability for Predicting Hospital Encounters for Asthma
JMIR Med Inform 2022 (Mar 01); 10(3):e33044Download Citation: END BibTex RIS
![Primary Care: The Actual Intelligence Required for Artificial Intelligence to Advance Health Care and Improve Health Primary Care: The Actual Intelligence Required for Artificial Intelligence to Advance Health Care and Improve Health](https://asset.jmir.pub/assets/e553c523dd1c91fcc3022e555cac6d09.png 480w,https://asset.jmir.pub/assets/e553c523dd1c91fcc3022e555cac6d09.png 960w,https://asset.jmir.pub/assets/e553c523dd1c91fcc3022e555cac6d09.png 1920w,https://asset.jmir.pub/assets/e553c523dd1c91fcc3022e555cac6d09.png 2500w)
Winston R Liaw, John M Westfall, Tyler S Williamson, Yalda Jabbarpour, Andrew Bazemore
JMIR Med Inform 2022 (Mar 08); 10(3):e27691Download Citation: END BibTex RIS
![Information Extraction Framework for Disability Determination Using a Mental Functioning Use-Case Information Extraction Framework for Disability Determination Using a Mental Functioning Use-Case](https://asset.jmir.pub/assets/dce37353ed8df6818f2341e6b3f639d0.png 480w,https://asset.jmir.pub/assets/dce37353ed8df6818f2341e6b3f639d0.png 960w,https://asset.jmir.pub/assets/dce37353ed8df6818f2341e6b3f639d0.png 1920w,https://asset.jmir.pub/assets/dce37353ed8df6818f2341e6b3f639d0.png 2500w)
Information Extraction Framework for Disability Determination Using a Mental Functioning Use-Case
Ayah Zirikly, Bart Desmet, Denis Newman-Griffis, Elizabeth E Marfeo, Christine McDonough, Howard Goldman, Leighton Chan
JMIR Med Inform 2022 (Mar 18); 10(3):e32245Download Citation: END BibTex RIS
Machine Learning
View E-collection for ‘Machine Learning’![A Bayesian Network Analysis of the Probabilistic Relationships Between Various Obesity Phenotypes and Cardiovascular Disease Risk in Chinese Adults: Chinese Population-Based Observational Study A Bayesian Network Analysis of the Probabilistic Relationships Between Various Obesity Phenotypes and Cardiovascular Disease Risk in Chinese Adults: Chinese Population-Based Observational Study](https://asset.jmir.pub/assets/18032193d494e890bd52afd1e532300d.png 480w,https://asset.jmir.pub/assets/18032193d494e890bd52afd1e532300d.png 960w,https://asset.jmir.pub/assets/18032193d494e890bd52afd1e532300d.png 1920w,https://asset.jmir.pub/assets/18032193d494e890bd52afd1e532300d.png 2500w)
Simiao Tian, Mei Bi, Yanhong Bi, Xiaoyu Che, Yazhuo Liu
JMIR Med Inform 2022 (Mar 02); 10(3):e33026Download Citation: END BibTex RIS
![A Data-Driven Algorithm to Recommend Initial Clinical Workup for Outpatient Specialty Referral: Algorithm Development and Validation Using Electronic Health Record Data and Expert Surveys A Data-Driven Algorithm to Recommend Initial Clinical Workup for Outpatient Specialty Referral: Algorithm Development and Validation Using Electronic Health Record Data and Expert Surveys](https://asset.jmir.pub/assets/2f4da52e041e5d482edcdb7e49224fc2.png 480w,https://asset.jmir.pub/assets/2f4da52e041e5d482edcdb7e49224fc2.png 960w,https://asset.jmir.pub/assets/2f4da52e041e5d482edcdb7e49224fc2.png 1920w,https://asset.jmir.pub/assets/2f4da52e041e5d482edcdb7e49224fc2.png 2500w)
Wui Ip, Priya Prahalad, Jonathan Palma, Jonathan H Chen
JMIR Med Inform 2022 (Mar 03); 10(3):e30104Download Citation: END BibTex RIS
![Predicting High Flow Nasal Cannula Failure in an Intensive Care Unit Using a Recurrent Neural Network With Transfer Learning and Input Data Perseveration: Retrospective Analysis Predicting High Flow Nasal Cannula Failure in an Intensive Care Unit Using a Recurrent Neural Network With Transfer Learning and Input Data Perseveration: Retrospective Analysis](https://asset.jmir.pub/assets/6f03550b85e700a39ff2c87727067ade.png 480w,https://asset.jmir.pub/assets/6f03550b85e700a39ff2c87727067ade.png 960w,https://asset.jmir.pub/assets/6f03550b85e700a39ff2c87727067ade.png 1920w,https://asset.jmir.pub/assets/6f03550b85e700a39ff2c87727067ade.png 2500w)
George Pappy, Melissa Aczon, Randall Wetzel, David Ledbetter
JMIR Med Inform 2022 (Mar 03); 10(3):e31760Download Citation: END BibTex RIS
![Predicting Long-term Survival After Allogeneic Hematopoietic Cell Transplantation in Patients With Hematologic Malignancies: Machine Learning–Based Model Development and Validation Predicting Long-term Survival After Allogeneic Hematopoietic Cell Transplantation in Patients With Hematologic Malignancies: Machine Learning–Based Model Development and Validation](https://asset.jmir.pub/assets/45ff1aff2e856854f34daac7565383c7.png 480w,https://asset.jmir.pub/assets/45ff1aff2e856854f34daac7565383c7.png 960w,https://asset.jmir.pub/assets/45ff1aff2e856854f34daac7565383c7.png 1920w,https://asset.jmir.pub/assets/45ff1aff2e856854f34daac7565383c7.png 2500w)
Eun-Ji Choi, Tae Joon Jun, Han-Seung Park, Jung-Hee Lee, Kyoo-Hyung Lee, Young-Hak Kim, Young-Shin Lee, Young-Ah Kang, Mijin Jeon, Hyeran Kang, Jimin Woo, Je-Hwan Lee
JMIR Med Inform 2022 (Mar 07); 10(3):e32313Download Citation: END BibTex RIS
![Web-Based Skin Cancer Assessment and Classification Using Machine Learning and Mobile Computerized Adaptive Testing in a Rasch Model: Development Study Web-Based Skin Cancer Assessment and Classification Using Machine Learning and Mobile Computerized Adaptive Testing in a Rasch Model: Development Study](https://asset.jmir.pub/assets/80267d4bc568b24d3ab4b0cf6b7379e9.png 480w,https://asset.jmir.pub/assets/80267d4bc568b24d3ab4b0cf6b7379e9.png 960w,https://asset.jmir.pub/assets/80267d4bc568b24d3ab4b0cf6b7379e9.png 1920w,https://asset.jmir.pub/assets/80267d4bc568b24d3ab4b0cf6b7379e9.png 2500w)
Ting-Ya Yang, Tsair-Wei Chien, Feng-Jie Lai
JMIR Med Inform 2022 (Mar 09); 10(3):e33006Download Citation: END BibTex RIS
![Selective Prediction With Long Short-term Memory Using Unit-Wise Batch Standardization for Time Series Health Data Sets: Algorithm Development and Validation Selective Prediction With Long Short-term Memory Using Unit-Wise Batch Standardization for Time Series Health Data Sets: Algorithm Development and Validation](https://asset.jmir.pub/assets/298ff334de64785e8e586fc3b767215c.png 480w,https://asset.jmir.pub/assets/298ff334de64785e8e586fc3b767215c.png 960w,https://asset.jmir.pub/assets/298ff334de64785e8e586fc3b767215c.png 1920w,https://asset.jmir.pub/assets/298ff334de64785e8e586fc3b767215c.png 2500w)
Borum Nam, Joo Young Kim, In Young Kim, Baek Hwan Cho
JMIR Med Inform 2022 (Mar 15); 10(3):e30587Download Citation: END BibTex RIS
![Prediction of Chronic Obstructive Pulmonary Disease Exacerbation Events by Using Patient Self-reported Data in a Digital Health App: Statistical Evaluation and Machine Learning Approach Prediction of Chronic Obstructive Pulmonary Disease Exacerbation Events by Using Patient Self-reported Data in a Digital Health App: Statistical Evaluation and Machine Learning Approach](https://asset.jmir.pub/assets/e40b01dbe918c10370086e0545afd21f.png 480w,https://asset.jmir.pub/assets/e40b01dbe918c10370086e0545afd21f.png 960w,https://asset.jmir.pub/assets/e40b01dbe918c10370086e0545afd21f.png 1920w,https://asset.jmir.pub/assets/e40b01dbe918c10370086e0545afd21f.png 2500w)
Francis P Chmiel, Dan K Burns, John Brian Pickering, Alison Blythin, Thomas MA Wilkinson, Michael J Boniface
JMIR Med Inform 2022 (Mar 21); 10(3):e26499Download Citation: END BibTex RIS
Reviews in Medical Informatics
View E-collection for ‘Reviews in Medical Informatics’![State of the Art of Machine Learning–Enabled Clinical Decision Support in Intensive Care Units: Literature Review State of the Art of Machine Learning–Enabled Clinical Decision Support in Intensive Care Units: Literature Review](https://asset.jmir.pub/assets/a3a01f54677acca1afe0a768572bb96f.png 480w,https://asset.jmir.pub/assets/a3a01f54677acca1afe0a768572bb96f.png 960w,https://asset.jmir.pub/assets/a3a01f54677acca1afe0a768572bb96f.png 1920w,https://asset.jmir.pub/assets/a3a01f54677acca1afe0a768572bb96f.png 2500w)
Na Hong, Chun Liu, Jianwei Gao, Lin Han, Fengxiang Chang, Mengchun Gong, Longxiang Su
JMIR Med Inform 2022 (Mar 03); 10(3):e28781Download Citation: END BibTex RIS
![Machine Learning–Based Short-Term Mortality Prediction Models for Patients With Cancer Using Electronic Health Record Data: Systematic Review and Critical Appraisal Machine Learning–Based Short-Term Mortality Prediction Models for Patients With Cancer Using Electronic Health Record Data: Systematic Review and Critical Appraisal](https://asset.jmir.pub/assets/8ea090afec730eed960b78c513f0a83e.png 480w,https://asset.jmir.pub/assets/8ea090afec730eed960b78c513f0a83e.png 960w,https://asset.jmir.pub/assets/8ea090afec730eed960b78c513f0a83e.png 1920w,https://asset.jmir.pub/assets/8ea090afec730eed960b78c513f0a83e.png 2500w)
Sheng-Chieh Lu, Cai Xu, Chandler H Nguyen, Yimin Geng, André Pfob, Chris Sidey-Gibbons
JMIR Med Inform 2022 (Mar 14); 10(3):e33182Download Citation: END BibTex RIS
Clinical Communication, Electronic Consultation and Telehealth
View E-collection for ‘Clinical Communication, Electronic Consultation and Telehealth’![A Comparison of Census and Cohort Sampling Models for the Longitudinal Collection of User-Reported Data in the Maternity Care Pathway: Mixed Methods Study A Comparison of Census and Cohort Sampling Models for the Longitudinal Collection of User-Reported Data in the Maternity Care Pathway: Mixed Methods Study](https://asset.jmir.pub/assets/b864f1b3dc1425986c8483df19abc35e.png 480w,https://asset.jmir.pub/assets/b864f1b3dc1425986c8483df19abc35e.png 960w,https://asset.jmir.pub/assets/b864f1b3dc1425986c8483df19abc35e.png 1920w,https://asset.jmir.pub/assets/b864f1b3dc1425986c8483df19abc35e.png 2500w)
Kendall Jamieson Gilmore, Manila Bonciani, Milena Vainieri
JMIR Med Inform 2022 (Mar 04); 10(3):e25477Download Citation: END BibTex RIS
Big Data
View E-collection for ‘Big Data’![Deriving Weight From Big Data: Comparison of Body Weight Measurement–Cleaning Algorithms Deriving Weight From Big Data: Comparison of Body Weight Measurement–Cleaning Algorithms](https://asset.jmir.pub/assets/4b8f6831d59e6078e0c1d51c4737846f.png 480w,https://asset.jmir.pub/assets/4b8f6831d59e6078e0c1d51c4737846f.png 960w,https://asset.jmir.pub/assets/4b8f6831d59e6078e0c1d51c4737846f.png 1920w,https://asset.jmir.pub/assets/4b8f6831d59e6078e0c1d51c4737846f.png 2500w)
Deriving Weight From Big Data: Comparison of Body Weight Measurement–Cleaning Algorithms
Richard Evans, Jennifer Burns, Laura Damschroder, Ann Annis, Michelle B Freitag, Susan Raffa, Wyndy Wiitala
JMIR Med Inform 2022 (Mar 09); 10(3):e30328Download Citation: END BibTex RIS
Decision Support for Health Professionals
View E-collection for ‘Decision Support for Health Professionals’![A Digital Screening System for Alzheimer Disease Based on a Neuropsychological Test and a Convolutional Neural Network: System Development and Validation A Digital Screening System for Alzheimer Disease Based on a Neuropsychological Test and a Convolutional Neural Network: System Development and Validation](https://asset.jmir.pub/assets/4800249d01b0c3f952a5b13b23ce06aa.png 480w,https://asset.jmir.pub/assets/4800249d01b0c3f952a5b13b23ce06aa.png 960w,https://asset.jmir.pub/assets/4800249d01b0c3f952a5b13b23ce06aa.png 1920w,https://asset.jmir.pub/assets/4800249d01b0c3f952a5b13b23ce06aa.png 2500w)
Wen-Ting Cheah, Jwu-Jia Hwang, Sheng-Yi Hong, Li-Chen Fu, Yu-Ling Chang, Ta-Fu Chen, I-An Chen, Chun-Chen Chou
JMIR Med Inform 2022 (Mar 09); 10(3):e31106Download Citation: END BibTex RIS
Advanced Data Analytics in eHealth
View E-collection for ‘Advanced Data Analytics in eHealth’![Patient-Level Fall Risk Prediction Using the Observational Medical Outcomes Partnership’s Common Data Model: Pilot Feasibility Study Patient-Level Fall Risk Prediction Using the Observational Medical Outcomes Partnership’s Common Data Model: Pilot Feasibility Study](https://asset.jmir.pub/assets/d1770be3391b111c901d6cd6e5871fff.png 480w,https://asset.jmir.pub/assets/d1770be3391b111c901d6cd6e5871fff.png 960w,https://asset.jmir.pub/assets/d1770be3391b111c901d6cd6e5871fff.png 1920w,https://asset.jmir.pub/assets/d1770be3391b111c901d6cd6e5871fff.png 2500w)
Hyesil Jung, Sooyoung Yoo, Seok Kim, Eunjeong Heo, Borham Kim, Ho-Young Lee, Hee Hwang
JMIR Med Inform 2022 (Mar 11); 10(3):e35104Download Citation: END BibTex RIS
Electronic Health Records
View E-collection for ‘Electronic Health Records’![Strategies to Address the Lack of Labeled Data for Supervised Machine Learning Training With Electronic Health Records: Case Study for the Extraction of Symptoms From Clinical Notes Strategies to Address the Lack of Labeled Data for Supervised Machine Learning Training With Electronic Health Records: Case Study for the Extraction of Symptoms From Clinical Notes](https://asset.jmir.pub/assets/deba49da561d0cc0f019a976040ae8d3.png 480w,https://asset.jmir.pub/assets/deba49da561d0cc0f019a976040ae8d3.png 960w,https://asset.jmir.pub/assets/deba49da561d0cc0f019a976040ae8d3.png 1920w,https://asset.jmir.pub/assets/deba49da561d0cc0f019a976040ae8d3.png 2500w)
Marie Humbert-Droz, Pritam Mukherjee, Olivier Gevaert
JMIR Med Inform 2022 (Mar 14); 10(3):e32903Download Citation: END BibTex RIS
![Electronic Health Record–Triggered Research Infrastructure Combining Real-world Electronic Health Record Data and Patient-Reported Outcomes to Detect Benefits, Risks, and Impact of Medication: Development Study Electronic Health Record–Triggered Research Infrastructure Combining Real-world Electronic Health Record Data and Patient-Reported Outcomes to Detect Benefits, Risks, and Impact of Medication: Development Study](https://asset.jmir.pub/assets/eba423270313cf83e661b68f7d9a743e.png 480w,https://asset.jmir.pub/assets/eba423270313cf83e661b68f7d9a743e.png 960w,https://asset.jmir.pub/assets/eba423270313cf83e661b68f7d9a743e.png 1920w,https://asset.jmir.pub/assets/eba423270313cf83e661b68f7d9a743e.png 2500w)
Karin Hek, Leàn Rolfes, Eugène P van Puijenbroek, Linda E Flinterman, Saskia Vorstenbosch, Liset van Dijk, Robert A Verheij
JMIR Med Inform 2022 (Mar 16); 10(3):e33250Download Citation: END BibTex RIS
Imaging Informatics
View E-collection for ‘Imaging Informatics’![Using a Convolutional Neural Network and Convolutional Long Short-term Memory to Automatically Detect Aneurysms on 2D Digital Subtraction Angiography Images: Framework Development and Validation Using a Convolutional Neural Network and Convolutional Long Short-term Memory to Automatically Detect Aneurysms on 2D Digital Subtraction Angiography Images: Framework Development and Validation](https://asset.jmir.pub/assets/2415de00770a1b97a11b0a0a8e44b64c.png 480w,https://asset.jmir.pub/assets/2415de00770a1b97a11b0a0a8e44b64c.png 960w,https://asset.jmir.pub/assets/2415de00770a1b97a11b0a0a8e44b64c.png 1920w,https://asset.jmir.pub/assets/2415de00770a1b97a11b0a0a8e44b64c.png 2500w)
JunHua Liao, LunXin Liu, HaiHan Duan, YunZhi Huang, LiangXue Zhou, LiangYin Chen, ChaoHua Wang
JMIR Med Inform 2022 (Mar 16); 10(3):e28880Download Citation: END BibTex RIS