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Alle Papers – Machine Learning im Gesundheitswesen

104.164 Papers insgesamt · Seite 341 von 400

8501.

Intelligent Healthcare Platform: Cardiovascular Disease Risk Factors Prediction Using Attention Module Based LSTM

2019·28 Zit.
8502.

Patterns of schizophrenia symptoms: hidden structure in the PANSS questionnaire

2018·28 Zit.·Translational PsychiatryOA
8503.

Recommendations for patient similarity classes: results of the AMIA 2019 workshop on defining patient similarity

2020·28 Zit.·Journal of the American Medical Informatics AssociationOA
8504.

Mixed‐effects models for health care longitudinal data with an informative visiting process: A Monte Carlo simulation study

2019·28 Zit.·Statistica NeerlandicaOA
8505.

Need an AI-Enabled, Next-Generation, Advanced ChatGPT or Large Language Models (LLMs) for Error-Free and Accurate Medical Information

2023·28 Zit.·Annals of Biomedical Engineering
8506.

Efficient learning from big data for cancer risk modeling: A case study with melanoma

2019·28 Zit.·Computers in Biology and Medicine
8507.

Cardiovascular Disease Prediction Model using Machine Learning Algorithms

2020·28 Zit.·International Journal for Research in Applied Science and Engineering TechnologyOA
8508.

Comparing high-dimensional confounder control methods for rapid cohort studies from electronic health records

2015·28 Zit.·Journal of Comparative Effectiveness ResearchOA
8509.

Heart Diseases Prediction based on Stacking Classifiers Model

2023·28 Zit.·Procedia Computer ScienceOA
8510.

Drug Recommendation from Diagnosis Codes: Classification vs. Collaborative Filtering Approaches

2022·28 Zit.·International Journal of Environmental Research and Public HealthOA
8511.

Accelerating Chart Review Using Automated Methods on Electronic Health Record Data for Postoperative Complications.

2016·28 Zit.·PubMedOA
8512.

Characterization of patients who suffer asthma exacerbations using data extracted from electronic medical records.

2008·28 Zit.·PubMedOA
8513.

Machine learning to guide clinical decision-making in abdominal surgery—a systematic literature review

2021·28 Zit.·Langenbeck s Archives of SurgeryOA
8514.

Interpretable and Generalizable Graph Learning via Stochastic Attention Mechanism

2022·27 Zit.·arXiv (Cornell University)OA
8515.

Precision Medicine—Are We There Yet? A Narrative Review of Precision Medicine’s Applicability in Primary Care

2024·27 Zit.·Journal of Personalized MedicineOA
8516.

Physician beliefs about the impact of meaningful use of the EHR

2014·27 Zit.·Applied Clinical InformaticsOA
8517.

A Standardized Clinical Data Harmonization Pipeline for Scalable AI Application Deployment (FHIR-DHP): Validation and Usability Study

2023·27 Zit.·JMIR Medical InformaticsOA
8518.

A Predictive Model for the Risk of Mental Illness in Nigeria Using Data Mining

2018·27 Zit.·International Journal of ImmunologyOA
8519.

Personalized Impression Generation for PET Reports Using Large Language Models

2024·27 Zit.·Journal of Imaging Informatics in MedicineOA
8520.

An experimental study of integrating fine-tuned large language models and prompts for enhancing mental health support chatbot system

2024·27 Zit.·Journal of Medical Artificial IntelligenceOA
8521.

Discovering Composite Lifestyle Biomarkers With Artificial Intelligence From Clinical Studies to Enable Smart eHealth and Digital Therapeutic Services

2021·27 Zit.·Frontiers in Digital HealthOA
8522.

Prevalence and patterns of multimorbidity in chronic diseases in Guangzhou, China: a data mining study in the residents’ health records system among 31 708 community-dwelling elderly people

2022·27 Zit.·BMJ OpenOA
8523.

Inherent Bias in Electronic Health Records: A Scoping Review of Sources of Bias

2024·27 Zit.·medRxivOA
8524.

A flexible data-driven comorbidity feature extraction framework

2016·27 Zit.·Computers in Biology and Medicine
8525.

Prediction of Length of Stay in the Emergency Department for COVID-19 Patients: A Machine Learning Approach

2022·27 Zit.·IEEE AccessOA