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Early detection of type 2 diabetes mellitus using machine learning-based prediction models

Scientific reports, 2020-07, Vol.10 (1), p.11981, Article 11981

2020

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Interpretability of machine learning‐based prediction models in healthcare

Wiley interdisciplinary reviews. Data mining and knowledge discovery, 2020-09, Vol.10 (5), p.e1379-n/a

2020

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Challenges associated with missing data in electronic health records: A case study of a risk prediction model for diabetes using data from Slovenian primary care

Health informatics journal, 2019-09, Vol.25 (3), p.951-959

2019

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Building interpretable models for polypharmacy prediction in older chronic patients based on drug prescription records

PeerJ (San Francisco, CA), 2018-10, Vol.6, p.e5765-e5765, Article e5765

2018

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Evolution of ChatGPT evaluations in healthcare: Still at the beginning?

Resuscitation, 2023-12, Vol.193, p.110042-110042, Article 110042

2023

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Content analysis of Twitter users’ responses to the crowd crush tragedy in Seoul, South Korea in October 2022

Resuscitation, 2023-01, Vol.182, p.109658-109658, Article 109658

2023

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Framework-based qualitative analysis of free responses of Large Language Models: Algorithmic fidelity

PloS one, 2024-03, Vol.19 (3), p.e0300024-e0300024

2024

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The performance of ChatGPT and Bing on a computerized adaptive test of verbal intelligence

PloS one, 2024-07, Vol.19 (7), p.e0307097

2024

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A Review of Mortality Risk Prediction Models in Smartphone Applications

Journal of medical systems, 2021-12, Vol.45 (12), p.107, Article 107

2021

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Extracting New Temporal Features to Improve the Interpretability of Undiagnosed Type 2 Diabetes Mellitus Prediction Models

Journal of personalized medicine, 2022-02, Vol.12 (3), p.368

2022

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Public sentiment analysis of Twitter reaction on sudden cardiac arrest at EURO 2020

Resuscitation, 2021-10, Vol.167, p.427-429

2021

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The Antimicrobial Effect of Various Single-Strain and Multi-Strain Probiotics, Dietary Supplements or Other Beneficial Microbes against Common Clinical Wound Pathogens

Microorganisms (Basel), 2022-12, Vol.10 (12), p.2518

2022

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An international cross-cultural study of nursing students' perceptions of caring

Nurse education today, 2020-01, Vol.84, p.104214-104214, Article 104214

2020

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Nutritional quality of beverages available in vending machines in health and social care institutions: do we really want such offers?

Journal of health, population and nutrition, 2021-07, Vol.40 (1), p.29-29, Article 29

2021

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Sweet, Fat and Salty: Snacks in Vending Machines in Health and Social Care Institutions in Slovenia

International journal of environmental research and public health, 2020-09, Vol.17 (19), p.7059

2020

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Using generative artificial intelligence in bibliometric analysis: 10 years of research trends from the European Resuscitation Congresses

Resuscitation plus, 2024-06, Vol.18, p.100584-100584, Article 100584

2024

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Sentiment Analysis of Social Media Users' Emotional Response to Sudden Cardiac Arrest During a Football Broadcast

JAMA network open, 2023-06, Vol.6 (6), p.e2319720

2023

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Local vs. Global Interpretability of Machine Learning Models in Type 2 Diabetes Mellitus Screening

Artificial Intelligence in Medicine: Knowledge Representation and Transparent and Explainable Systems, p.108-119

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Explainable Artificial Intelligence and Process Mining Applications for Healthcare: Third International Workshop, XAI-Healthcare 2023, and First International Workshop, PM4H 2023, Portoroz, Slovenia, June 15, 2023, Proceedings

2024 edition., 2024

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National and regional hospitalization rates for allergic disorders in the United States: A 17‐year time‐trend analysis

Allergy (Copenhagen), 2020-05, Vol.75 (5), p.1243-1247

2020

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Using (Automated) Machine Learning and Drug Prescription Records to Predict Mortality and Polypharmacy in Older Type 2 Diabetes Mellitus Patients

Neural Information Processing, p.624-632

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Explainable Artificial Intelligence in Response to the Failures of Musculoskeletal Disorder Rehabilitation

Explainable Artificial Intelligence and Process Mining Applications for Healthcare, p.14-24

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Explainable Artificial Intelligence and Process Mining Applications for Healthcare: Third International Workshop, XAI-Healthcare 2023, and First International Workshop, PM4H 2023, Portoroz, Slovenia, June 15, 2023, Proceedings

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Generating Extremely Short Summaries from the Scientific Literature to Support Decisions in Primary Healthcare: A Human Evaluation Study

Artificial Intelligence in Medicine, p.373-382

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Maximizing Interpretability and Cost-Effectiveness of Surgical Site Infection (SSI) Predictive Models Using Feature-Specific Regularized Logistic Regression on Preoperative Temporal Data

Computational and mathematical methods in medicine, 2019-01, Vol.2019 (2019), p.1-13

2019

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Early detection of type 2 diabetes mellitus using machine learning-based prediction models

Interpretability of machine learning‐based prediction models in healthcare

Challenges associated with missing data in electronic health records: A case study of a risk prediction model for diabetes using data from Slovenian primary care

Building interpretable models for polypharmacy prediction in older chronic patients based on drug prescription records

Evolution of ChatGPT evaluations in healthcare: Still at the beginning?

Content analysis of Twitter users’ responses to the crowd crush tragedy in Seoul, South Korea in October 2022

Framework-based qualitative analysis of free responses of Large Language Models: Algorithmic fidelity

The performance of ChatGPT and Bing on a computerized adaptive test of verbal intelligence

A Review of Mortality Risk Prediction Models in Smartphone Applications

Extracting New Temporal Features to Improve the Interpretability of Undiagnosed Type 2 Diabetes Mellitus Prediction Models

Public sentiment analysis of Twitter reaction on sudden cardiac arrest at EURO 2020

The Antimicrobial Effect of Various Single-Strain and Multi-Strain Probiotics, Dietary Supplements or Other Beneficial Microbes against Common Clinical Wound Pathogens

An international cross-cultural study of nursing students' perceptions of caring

Nutritional quality of beverages available in vending machines in health and social care institutions: do we really want such offers?

Sweet, Fat and Salty: Snacks in Vending Machines in Health and Social Care Institutions in Slovenia

Using generative artificial intelligence in bibliometric analysis: 10 years of research trends from the European Resuscitation Congresses

Sentiment Analysis of Social Media Users' Emotional Response to Sudden Cardiac Arrest During a Football Broadcast

Local vs. Global Interpretability of Machine Learning Models in Type 2 Diabetes Mellitus Screening

Explainable Artificial Intelligence and Process Mining Applications for Healthcare: Third International Workshop, XAI-Healthcare 2023, and First International Workshop, PM4H 2023, Portoroz, Slovenia, June 15, 2023, Proceedings

National and regional hospitalization rates for allergic disorders in the United States: A 17‐year time‐trend analysis

Using (Automated) Machine Learning and Drug Prescription Records to Predict Mortality and Polypharmacy in Older Type 2 Diabetes Mellitus Patients

Explainable Artificial Intelligence in Response to the Failures of Musculoskeletal Disorder Rehabilitation

Explainable Artificial Intelligence and Process Mining Applications for Healthcare: Third International Workshop, XAI-Healthcare 2023, and First International Workshop, PM4H 2023, Portoroz, Slovenia, June 15, 2023, Proceedings

Generating Extremely Short Summaries from the Scientific Literature to Support Decisions in Primary Healthcare: A Human Evaluation Study

Maximizing Interpretability and Cost-Effectiveness of Surgical Site Infection (SSI) Predictive Models Using Feature-Specific Regularized Logistic Regression on Preoperative Temporal Data

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