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What's in a name? A comparison of attitudes towards artificial intelligence (AI) versus augmented human intelligence (AHI)

BMC medical informatics and decision making, 2020-07, Vol.20 (1), p.167-167, Article 167

2020

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An operational guide to translational clinical machine learning in academic medical centers

NPJ digital medicine, 2024-05, Vol.7 (1), p.129-7, Article 129

2024

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Blockchain for Electronic Vaccine Certificates: More Cons Than Pros?

Frontiers in big data, 2022-07, Vol.5, p.833196-833196

2022

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Non-linear machine learning models incorporating SNPs and PRS improve polygenic prediction in diverse human populations

Communications biology, 2022-08, Vol.5 (1), p.856-12, Article 856

2022

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Assessing the Generalizability of a Clinical Machine Learning Model Across Multiple Emergency Departments

Mayo Clinic proceedings. Innovations, quality & outcomes, 2022-06, Vol.6 (3), p.193-199

2022

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Nitric Oxide Synthase Type III Overexpression By Gene Therapy Exerts Antitumoral Activity In Mouse Hepatocellular Carcinoma

Redox biology, 2015-08, Vol.5, p.420-421

2015

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Why the C-statistic is not informative to evaluate early warning scores and what metrics to use

Critical care (London, England), 2015-08, Vol.19 (1), p.285-285, Article 285

2015

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A lesson in implementation: A pre-post study of providers’ experience with artificial intelligence-based clinical decision support

International journal of medical informatics (Shannon, Ireland), 2020-05, Vol.137, p.104072-104072, Article 104072

2020

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Development and validation of an electronic medical record-based alert score for detection of inpatient deterioration outside the ICU

Journal of biomedical informatics, 2016-12, Vol.64, p.10-19

2016

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The fifth vital sign? Nurse worry predicts inpatient deterioration within 24 hours

JAMIA open, 2019-12, Vol.2 (4), p.465-470

2019

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What's in a name? A comparison of attitudes towards artificial intelligence

BMC medical informatics and decision making, 2020-07, Vol.20 (1)

2020

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Optimizing the First Response to Sepsis: An Electronic Health Record-Based Markov Decision Process Model

Decision analysis, 2022-12, Vol.19 (4), p.265-296

2022

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Prediction and Inference With Missing Data in Patient Alert Systems

Journal of the American Statistical Association, 2020-01, Vol.115 (529), p.32-46

2020

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Addressing positive multi-cancer early detection tests in head and neck Surgery: Experience with head and neck work up for high-risk referrals

Oral oncology, 2024-05, Vol.152, p.106809-106809, Article 106809

2024

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Reply to Letter: Widely used track and trigger scores: Are they ready for automation in practice?

Resuscitation, 2014-10, Vol.85 (10), p.e159-e159

2014

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Widely used track and trigger scores: Are they ready for automation in practice?

Resuscitation, 2014-04, Vol.85 (4), p.549-552

2014

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Orphan Drugs and Rare Diseases: Unveiling Biological Patterns through Drug Repurposing

2023 IEEE 36th International Symposium on Computer-Based Medical Systems (CBMS), 2023, p.185-191

2023

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IEEE_Xplore

Development of data integration and visualization tools for the Department of Radiology to display operational and strategic metrics

AMIA ... Annual Symposium proceedings, 2018, Vol.2018, p.942-951

2018

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DeepABM: Scalable and Efficient Agent-Based Simulations Via Geometric Learning Frameworks - a Case Study For Covid-19 Spread and Interventions

2021 Winter Simulation Conference (WSC), 2021, p.1-12

2021

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IEEE_Xplore

Identifying patients at risk of inhospital death or hospice transfer for early goals of care discussions in a US referral center: the HELPS model derived from retrospective data

BMJ open, 2018-01, Vol.8 (1), p.e015550-e015550

2018

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AI model for predicting adult cochlear implant candidacy using routine behavioral audiometry

American journal of otolaryngology, 2024-07, Vol.45 (4), p.104337, Article 104337

2024

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Psoriasis lesions are associated with specific types of emotions. Emotional profile in psoriasis

EJD. European journal of dermatology, 2015-07, Vol.25 (4), p.329-334

2015

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I-MOVE: Inpatient Pre-Discharge Mobility Score As a Predictor of Post-Discharge Mortality

Journal of clinical outcomes management, 2016-07, Vol.23 (7), p.303

Romero-Brufau, Santiago

2016

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Acknowledgement to Reviewers of Informatics in 2018

Informatics (Basel), 2019-01, Vol.6 (1), p.3

Informatics Editorial Office

2019

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Clinical Decision Making: A Framework for Predicting Rx Response

2014 IEEE International Conference on Data Mining Workshop, 2014, p.1185-1188

2014

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IEEE_Xplore

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What's in a name? A comparison of attitudes towards artificial intelligence (AI) versus augmented human intelligence (AHI)

An operational guide to translational clinical machine learning in academic medical centers

Blockchain for Electronic Vaccine Certificates: More Cons Than Pros?

Non-linear machine learning models incorporating SNPs and PRS improve polygenic prediction in diverse human populations

Assessing the Generalizability of a Clinical Machine Learning Model Across Multiple Emergency Departments

Nitric Oxide Synthase Type III Overexpression By Gene Therapy Exerts Antitumoral Activity In Mouse Hepatocellular Carcinoma

Why the C-statistic is not informative to evaluate early warning scores and what metrics to use

A lesson in implementation: A pre-post study of providers’ experience with artificial intelligence-based clinical decision support

Development and validation of an electronic medical record-based alert score for detection of inpatient deterioration outside the ICU

The fifth vital sign? Nurse worry predicts inpatient deterioration within 24 hours

What's in a name? A comparison of attitudes towards artificial intelligence

Optimizing the First Response to Sepsis: An Electronic Health Record-Based Markov Decision Process Model

Prediction and Inference With Missing Data in Patient Alert Systems

Addressing positive multi-cancer early detection tests in head and neck Surgery: Experience with head and neck work up for high-risk referrals

Reply to Letter: Widely used track and trigger scores: Are they ready for automation in practice?

Widely used track and trigger scores: Are they ready for automation in practice?

Orphan Drugs and Rare Diseases: Unveiling Biological Patterns through Drug Repurposing

Development of data integration and visualization tools for the Department of Radiology to display operational and strategic metrics

DeepABM: Scalable and Efficient Agent-Based Simulations Via Geometric Learning Frameworks - a Case Study For Covid-19 Spread and Interventions

Identifying patients at risk of inhospital death or hospice transfer for early goals of care discussions in a US referral center: the HELPS model derived from retrospective data

AI model for predicting adult cochlear implant candidacy using routine behavioral audiometry

Psoriasis lesions are associated with specific types of emotions. Emotional profile in psoriasis

I-MOVE: Inpatient Pre-Discharge Mobility Score As a Predictor of Post-Discharge Mortality

Acknowledgement to Reviewers of Informatics in 2018

Clinical Decision Making: A Framework for Predicting Rx Response

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