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Explanation of machine learning models using shapley additive explanation and application for real data in hospital

Computer methods and programs in biomedicine, 2022-02, Vol.214, p.106584-106584, Article 106584

2022

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Association of serum bilirubin levels with risk of cancer development and total death

Scientific reports, 2021-06, Vol.11 (1), p.13224-13224, Article 13224

2021

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Stroke Prognostic Scores and Data-Driven Prediction of Clinical Outcomes After Acute Ischemic Stroke

Stroke (1970), 2020-05, Vol.51 (5), p.1477-1483

2020

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Postnatal care could be the key to improving the continuum of care in maternal and child health in Ratanakiri, Cambodia

PloS one, 2018-06, Vol.13 (6), p.e0198829-e0198829

2018

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Non-linear association between body weight and functional outcome after acute ischemic stroke

Scientific reports, 2023-05, Vol.13 (1), p.8697-8697, Article 8697

2023

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Communications Through Contemporary Tools of Information and Communication Technology: Cross-sectional Study Evaluating Health Among Separated Family Members

JMIR formative research, 2022-08, Vol.6 (8), p.e34949-e34949

2022

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Effect of treatment modality and cerebral vasospasm agent on patient outcomes after aneurysmal subarachnoid hemorrhage in the elderly aged 75 years and older

PloS one, 2020-04, Vol.15 (4), p.e0230953-e0230953

2020

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Machine learning for classification of postoperative patient status using standardized medical data

Computer methods and programs in biomedicine, 2022-02, Vol.214, p.106583-106583, Article 106583

2022

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Delirium Prediction Using Machine Learning Interpretation Method and Its Incorporation into a Clinical Workflow

Applied sciences, 2023-02, Vol.13 (3), p.1564

2023

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Portable health clinic for sustainable care of mothers and newborns in rural Bangladesh

Computer methods and programs in biomedicine, 2021-08, Vol.207, p.106156-106156, Article 106156

2021

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Temporal Generalizability of Machine Learning Models for Predicting Postoperative Delirium Using Electronic Health Record Data: Model Development and Validation Study

JMIR perioperative medicine, 2023-10, Vol.6, p.e50895-e50895

2023

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Lessons Learned from Co-Design and Co-Production in a Portable Health Clinic Research Project in Jaipur District, India (2016–2018)

Sustainability, 2018-11, Vol.10 (11), p.4148

2018

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Portable Health Clinic: A Pervasive Way to Serve the Unreached Community for Preventive Healthcare

Distributed, Ambient, and Pervasive Interactions, p.265-274

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Capturing Nursing Interactions from Mobile Sensor Data and In-Room Sensors

Design, User Experience, and Usability. User Experience in Novel Technological Environments, p.280-289

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Empowering the Healthcare Worker Using the Portable Health Clinic

2014 IEEE 28th International Conference on Advanced Information Networking and Applications, 2014, p.759-764

2014

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IEEE_Xplore

Location Recognition in RFID Bookshelves

IEICE Transactions on Information and Systems, 2011/06/01, Vol.E94.D(6), pp.1147-1152

2011

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Extracting Predictive Indicator for Prognosis of Cerebral Infarction Using Machine Learning Techniques

Studies in health technology and informatics, 2017, Vol.245, p.1280

2017

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Abstract TP298: Measuring Quality of Care for Acute Ischemic Stroke Treated With Acute Reperfusion Therapy in Japan: A Nationwide Quality Improvement Initiative of the J-aspect Study

Stroke (1970), 2020-02, Vol.51 (Suppl_1)

2020

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Predictive Performance of Machine Learning–Based Models for Poststroke Clinical Outcomes in Comparison With Conventional Prognostic Scores: Multicenter, Hospital-Based Observational Study

JMIR AI, 2024-01, Vol.3, p.e46840

2024

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Interpreting Medical Information Using Machine Learning and Individual Conditional Expectation

Studies in health technology and informatics, 2015, Vol.216, p.1073

2015

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A functional learning health system in Japan: Experience with processes and information infrastructure toward continuous health improvement

Learning health systems, 2021-10, Vol.5 (4), p.e10252-n/a

2021

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Prediction and Factor Extraction of Drug Function by Analyzing Medical Records in Developing Countries

Studies in health technology and informatics, 2017, Vol.245, p.403

2017

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Impact of a learning health system on acute care and medical complications after intracerebral hemorrhage

Learning health systems, 2021-04, Vol.5 (2), p.e10223-n/a

2021

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Inhibition of dynamin-related protein 1-filamin interaction improves systemic glucose metabolism

British journal of pharmacology, 2024-07

2024

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O08-4. Portable Health Clinic to realize the Continuum of Care in Maternal and Child Health

Journal of International Health, 2020-09, Vol.35 (3), p.193-194

2020

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Explanation of machine learning models using shapley additive explanation and application for real data in hospital

Association of serum bilirubin levels with risk of cancer development and total death

Stroke Prognostic Scores and Data-Driven Prediction of Clinical Outcomes After Acute Ischemic Stroke

Postnatal care could be the key to improving the continuum of care in maternal and child health in Ratanakiri, Cambodia

Non-linear association between body weight and functional outcome after acute ischemic stroke

Communications Through Contemporary Tools of Information and Communication Technology: Cross-sectional Study Evaluating Health Among Separated Family Members

Effect of treatment modality and cerebral vasospasm agent on patient outcomes after aneurysmal subarachnoid hemorrhage in the elderly aged 75 years and older

Machine learning for classification of postoperative patient status using standardized medical data

Delirium Prediction Using Machine Learning Interpretation Method and Its Incorporation into a Clinical Workflow

Portable health clinic for sustainable care of mothers and newborns in rural Bangladesh

Temporal Generalizability of Machine Learning Models for Predicting Postoperative Delirium Using Electronic Health Record Data: Model Development and Validation Study

Lessons Learned from Co-Design and Co-Production in a Portable Health Clinic Research Project in Jaipur District, India (2016–2018)

Portable Health Clinic: A Pervasive Way to Serve the Unreached Community for Preventive Healthcare

Capturing Nursing Interactions from Mobile Sensor Data and In-Room Sensors

Empowering the Healthcare Worker Using the Portable Health Clinic

Location Recognition in RFID Bookshelves

Extracting Predictive Indicator for Prognosis of Cerebral Infarction Using Machine Learning Techniques

Abstract TP298: Measuring Quality of Care for Acute Ischemic Stroke Treated With Acute Reperfusion Therapy in Japan: A Nationwide Quality Improvement Initiative of the J-aspect Study

Predictive Performance of Machine Learning–Based Models for Poststroke Clinical Outcomes in Comparison With Conventional Prognostic Scores: Multicenter, Hospital-Based Observational Study

Interpreting Medical Information Using Machine Learning and Individual Conditional Expectation

A functional learning health system in Japan: Experience with processes and information infrastructure toward continuous health improvement

Prediction and Factor Extraction of Drug Function by Analyzing Medical Records in Developing Countries

Impact of a learning health system on acute care and medical complications after intracerebral hemorrhage

Inhibition of dynamin-related protein 1-filamin interaction improves systemic glucose metabolism

O08-4. Portable Health Clinic to realize the Continuum of Care in Maternal and Child Health

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