AIMC Journal:
International journal of medical informatics

Showing 231 to 240 of 372 articles

Machine learning based early mortality prediction in the emergency department.

International journal of medical informatics Sep 8, 2021
BACKGROUND: It is a great challenge for emergency physicians to early detect the patient's deterioration and prevent unexpected death through a large amount of clinical data, which requires sufficient experience and keen insight.
Electronic Health Records Female Humans Machine Learning Patient Discharge Patient Admission Child Emergency Service, Hospital
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Prediction models applying machine learning to oral cavity cancer outcomes: A systematic review.

International journal of medical informatics Aug 18, 2021
OBJECTIVES: Machine learning platforms are now being introduced into modern oncological practice for classification and prediction of patient outcomes. To determine the current status of the application of these learning models as adjunctive decision...
Machine Learning Humans Algorithms Prognosis Mouth Neoplasms
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Automated ICD coding for primary diagnosis via clinically interpretable machine learning.

International journal of medical informatics Jul 27, 2021
BACKGROUND: Computer-assisted clinical coding (CAC) based on automated coding algorithms has been expected to improve the International Classification of Disease, tenth version (ICD-10) coding quality and productivity, whereas studies oriented to pri...
Algorithms Hospitalization Machine Learning International Classification of Diseases Clinical Coding Humans
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Differences in information accessed in a pharmacologic knowledge base using a conversational agent vs traditional search methods.

International journal of medical informatics Jul 16, 2021
INTRODUCTION: Clinicians rely on pharmacologic knowledge bases to answer medication questions and avoid potential adverse drug events. In late 2018, an artificial intelligence-based conversational agent, Watson Assistant (WA), was made available to o...
Humans Artificial Intelligence Knowledge Bases Communication
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The need to separate the wheat from the chaff in medical informatics: Introducing a comprehensive checklist for the (self)-assessment of medical AI studies.

International journal of medical informatics Jun 2, 2021
This editorial aims to contribute to the current debate about the quality of studies that apply machine learning (ML) methodologies to medical data to extract value from them and provide clinicians with viable and useful tools supporting everyday car...
Machine Learning Medical Informatics Checklist Humans Artificial Intelligence
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Comparison of machine learning and logistic regression models in predicting acute kidney injury: A systematic review and meta-analysis.

International journal of medical informatics May 8, 2021
INTRODUCTION: We aimed to assess whether machine learning models are superior at predicting acute kidney injury (AKI) compared to logistic regression (LR), a conventional prediction model.
Creatinine Humans Machine Learning Acute Kidney Injury Logistic Models
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Preventing sepsis; how can artificial intelligence inform the clinical decision-making process? A systematic review.

International journal of medical informatics Apr 10, 2021
BACKGROUND AND OBJECTIVES: Sepsis is a life-threatening condition that is associated with increased mortality. Artificial intelligence tools can inform clinical decision making by flagging patients at risk of developing infection and subsequent sepsi...
Sepsis Algorithms Humans Clinical Decision-Making Artificial Intelligence Machine Learning
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Leveraging data and AI to deliver on the promise of digital health.

International journal of medical informatics Apr 10, 2021
Rising rates of NCDs threaten fragile healthcare systems in low- and middle-income countries. Fortunately, new digital technology provides tools to more effectively address the growing dual burden of disease. Two-thirds of the world's population subs...
Humans Sustainable Development Artificial Intelligence Private Sector Delivery of Health Care Privacy
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A two-stage modeling approach for breast cancer survivability prediction.

International journal of medical informatics Mar 11, 2021
BACKGROUND: Despite the increasing number of studies in breast cancer survival prediction, there is little attention put toward deceased patients and their survival lengths. Moreover, developing a model that is both accurate and interpretable remains...
Female ROC Curve Humans Breast Neoplasms Machine Learning Linear Models
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Establishment of noninvasive diabetes risk prediction model based on tongue features and machine learning techniques.

International journal of medical informatics Feb 22, 2021
BACKGROUND: Diabetes is a chronic noncommunicable disease with high incidence rate. Diabetics without early diagnosis or standard treatment may contribute to serious multisystem complications, which can be life threatening. Timely detection and inter...
Diabetes Mellitus Early Diagnosis Tongue Humans Machine Learning ROC Curve
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