AIMC Topic: Machine Learning

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Robust Visual Identification of Under-resourced Dermatological Diagnoses with Classifier-Steered Background Masking.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 1, 2024
Collecting images of rare dermatological diseases for machine learning detection applications is a costly, laborious task. It is difficult to collect enough images of these diagnoses to avoid the risk of low accuracy "in the wild". One of the sources...
Skin Diseases Machine Learning Humans Image Interpretation, Computer-Assisted Algorithms Neural Networks, Computer
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Narrative Feature or Structured Feature? A Study of Large Language Models to Identify Cancer Patients at Risk of Heart Failure.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 1, 2024
Cancer treatments are known to introduce cardiotoxicity, negatively impacting outcomes and survivorship. Identifying cancer patients at risk of heart failure (HF) is critical to improving cancer treatment outcomes and safety. This study examined mach...
Risk Assessment Neoplasms Humans Heart Failure Electronic Health Records Narration Machine Learning Female Large Language Models Natural Language Processing
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Does Cohort Selection Affect Machine Learning from Clinical Data?

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 1, 2024
This study investigates cohort selection and its effects on the quality of machine learning (ML) models trained on clinical data, focusing on measurements taken within the first 48 hours of hospital admission. It discusses the potential repercussions...
Male Cohort Studies Female SARS-CoV-2 Machine Learning COVID-19 Humans
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Meta-Learning on Augmented Gene Expression Profiles for Enhanced Lung Cancer Detection.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 1, 2024
Gene expression profiles obtained through DNA microarray have proven successful in providing critical information for cancer detection classifiers. However, the limited number of samples in these datasets poses a challenge to employ complex methodolo...
Machine Learning Gene Expression Profiling Humans Oligonucleotide Array Sequence Analysis Deep Learning Lung Neoplasms
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A Large Language Model Outperforms Other Computational Approaches to the High-Throughput Phenotyping of Physician Notes.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 1, 2024
High-throughput phenotyping, the automated mapping of patient signs and symptoms to standardized ontology concepts, is essential for realizing value from electronic health records (EHR) in support of precision medicine. Despite technological advances...
Large Language Models Deep Learning Natural Language Processing Artificial Intelligence Machine Learning Electronic Health Records Language Humans Phenotype
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Publication Type Tagging using Transformer Models and Multi-Label Classification.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 1, 2024
Indexing articles by their publication type and study design is essential for efficient search and filtering of the biomedical literature, but is understudied compared to indexing by MeSH topical terms. In this study, we leveraged the human-curated p...
Medical Subject Headings Machine Learning Natural Language Processing PubMed Abstracting and Indexing Humans
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Integrating Remote Patient Monitoring Data into Machine Learning Models for Predicting Emergency Department Utilization.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 1, 2024
The integration of Remote Patient Monitoring (RPM) data into risk stratification models has emerged as a promising approach for improving healthcare delivery and patient outcomes. In this work, we explore the integration of RPM features - including a...
Machine Learning Electronic Health Records Humans Remote Patient Monitoring Monitoring, Physiologic Emergency Service, Hospital
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Federated Multiple Imputation for Variables that Are Missing Not At Random in Distributed Electronic Health Records.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 1, 2024
Large electronic health records (EHR) have been widely implemented and are available for research activities. The magnitude of such databases often requires storage and computing infrastructure that are distributed at different sites. Restrictions on...
Humans Machine Learning Confidentiality Privacy Algorithms Electronic Health Records
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Comparative Analysis of Data Generation Techniques for Breast Cancer Research Using Artificial Intelligence.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 1, 2024
This study investigates the use of ChatGPT to support clinical teams with limited expertise in generating synthetic data for breast cancer research. It assesses ChatGPT's application, focusing on effective prompting and best practices for creating hi...
Humans Biomedical Research Artificial Intelligence Female Breast Neoplasms Machine Learning
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Towards Interpretable End-Stage Renal Disease (ESRD) Prediction: Utilizing Administrative Claims Data with Explainable AI Techniques.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 1, 2024
This study explores the potential of utilizing administrative claims data, combined with advanced machine learning and deep learning techniques, to predict the progression of Chronic Kidney Disease (CKD) to End-Stage Renal Disease (ESRD). We analyze ...
Artificial Intelligence Machine Learning Humans Male Disease Progression Deep Learning Kidney Failure, Chronic Insurance Claim Review
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