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Alle Papers – Machine Learning im Gesundheitswesen

104.164 Papers insgesamt · Seite 344 von 400

8576.

Capturing Feature-Level Irregularity in Disease Progression Modeling

2017·27 Zit.OA
8577.

Machine Learning for Health Informatics State-of-the-Art and Future Challenges

2016·27 Zit.·Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B))
8578.

Validation of a Novel Predictive Algorithm for Kidney Failure in Patients Suffering from Chronic Kidney Disease: The Prognostic Reasoning System for Chronic Kidney Disease (PROGRES-CKD)

2021·27 Zit.·International Journal of Environmental Research and Public HealthOA
8579.

An Effective Performance Analysis of Machine Learning Techniques for Cardiovascular Disease

2015·27 Zit.·Applied Medical Informatics (University of Medicine and Pharmacy Cluj-Napoca)OA
8580.

How artificial intelligence tools can be used to assess individual patient risk in cardiovascular disease: problems with the current methods

2006·27 Zit.·BMC Cardiovascular DisordersOA
8581.

Challenges of Trustable AI and Added-Value on Health

2022·27 Zit.·Studies in health technology and informaticsOA
8582.

Improvement of Machine Learning Models’ Performances based on Ensemble Learning for the detection of Alzheimer Disease

2021·27 Zit.·2021 6th International Conference on Computer Science and Engineering (UBMK)
8583.

Diagnosis of Asthma Based on Routine Blood Biomarkers Using Machine Learning

2020·27 Zit.·Computational Intelligence and NeuroscienceOA
8584.

The Transformation of Healthcare Through AI-Driven Diagnostics

2024·27 Zit.·Advances in medical technologies and clinical practice book seriesOA
8585.

Collaboration, not Confrontation: Understanding General Practitioners’ Attitudes Towards Natural Language and Text Automation in Clinical Practice

2022·27 Zit.·ACM Transactions on Computer-Human Interaction
8586.

Should the Use of Adaptive Machine Learning Systems in Medicine be Classified as Research?

2024·27 Zit.·The American Journal of BioethicsOA
8587.

Evaluating prompt engineering on GPT-3.5’s performance in USMLE-style medical calculations and clinical scenarios generated by GPT-4

2024·27 Zit.·Scientific ReportsOA
8588.

·27 Zit.·Anet (University of Antwerp)
8589.

A Novel Method of Identification of Delirium in Patients from Electronic Health Records Using Machine Learning

2023·27 Zit.
8590.

Graph convolutional network with sample and feature weights for Alzheimer’s disease diagnosis

2022·27 Zit.·Information Processing & Management
8591.

Adverse Drug Effect Detection

2012·27 Zit.·IEEE Journal of Biomedical and Health Informatics
8592.

Data mining based Bayesian networks for best classification

2005·27 Zit.·Computational Statistics & Data Analysis
8593.

Machine learning for psychiatry: getting doctors at the black box?

2020·27 Zit.·Molecular PsychiatryOA
8594.

Improving Electronic Health Record Note Comprehension With NoteAid: Randomized Trial of Electronic Health Record Note Comprehension Interventions With Crowdsourced Workers

2018·27 Zit.·Journal of Medical Internet ResearchOA
8595.

Different Scenarios for the Prediction of Hospital Readmission of Diabetic Patients

2021·27 Zit.·Journal of Medical SystemsOA
8596.

Prediction of outcome and severity of illness by analysis of the frequency distributions of cardiorespiratory variables

1977·27 Zit.·Critical Care Medicine
8597.

Formalizing ICD coding rules using Formal Concept Analysis

2009·27 Zit.·Journal of Biomedical Informatics
8598.

Finding Schizophrenia’s Prozac Emergent Relational Similarity in Predication Space

2011·27 Zit.·Lecture notes in computer science
8599.

Explainable artificial intelligence approaches for brain–computer interfaces: a review and design space

2024·27 Zit.·Journal of Neural Engineering
8600.

Towards Interpretable Mental Health Analysis with Large Language Models

2023·27 Zit.·arXiv (Cornell University)OA