AIMC Topic: Machine Learning

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Tissue Classification After Bone-Anchored Hearing Implant Surgery: A Machine Learning Approach to Monitoring Skin Response.

Otology & neurotology : official publication of the American Otological Society, American Neurotology Society [and] European Academy of Otology and Neurotology Aug 1, 2024
HYPOTHESIS: Here, we aim to 1) expand the available evidence for the use of machine learning techniques for soft tissue classification after BCD surgery and 2) discuss the implications of such approaches toward the development of classification appli...
Hearing Aids Bone Conduction Machine Learning Humans Skin Neural Networks, Computer Bone-Anchored Prosthesis
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EFG-CS: Predicting chemical shifts from amino acid sequences with protein structure prediction using machine learning and deep learning models.

Protein science : a publication of the Protein Society Aug 1, 2024
Nuclear magnetic resonance (NMR) crystallography is one of the main methods in structural biology for analyzing protein stereochemistry and structure. The chemical shift of the resonance frequency reflects the effect of the protons in a molecule prod...
Nuclear Magnetic Resonance, Biomolecular Models, Molecular Amino Acid Sequence Protein Conformation Machine Learning Software Deep Learning Proteins
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Establishment of diagnostic model and identification of diagnostic markers between liver cancer and cirrhosis based on multi-chip and machine learning.

Clinical and experimental pharmacology & physiology Aug 1, 2024
OBJECTIVE: Most cases of hepatocellular carcinoma (HCC) arise as a consequence of cirrhosis. In this study, our objective is to construct a comprehensive diagnostic model that investigates the diagnostic markers distinguishing between cirrhosis and H...
Diagnosis, Differential Oligonucleotide Array Sequence Analysis Humans Machine Learning Carcinoma, Hepatocellular Biomarkers, Tumor Gene Expression Regulation, Neoplastic Gene Expression Profiling Liver Cirrhosis Liver Neoplasms
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Automatic uncovering of patient primary concerns in portal messages using a fusion framework of pretrained language models.

Journal of the American Medical Informatics Association : JAMIA Aug 1, 2024
OBJECTIVES: The surge in patient portal messages (PPMs) with increasing needs and workloads for efficient PPM triage in healthcare settings has spurred the exploration of AI-driven solutions to streamline the healthcare workflow processes, ensuring t...
Natural Language Processing Patient Portals Humans Neural Networks, Computer Machine Learning
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Machine Learning-Based Prediction of Hemoglobinopathies Using Complete Blood Count Data.

Clinical chemistry Aug 1, 2024
BACKGROUND: Hemoglobinopathies, the most common inherited blood disorder, are frequently underdiagnosed. Early identification of carriers is important for genetic counseling of couples at risk. The aim of this study was to develop and validate a nove...
Humans Machine Learning Retrospective Studies Female Logistic Models Adult Blood Cell Count Male Hemoglobinopathies ROC Curve
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A general framework for developing computable clinical phenotype algorithms.

Journal of the American Medical Informatics Association : JAMIA Aug 1, 2024
OBJECTIVE: To present a general framework providing high-level guidance to developers of computable algorithms for identifying patients with specific clinical conditions (phenotypes) through a variety of approaches, including but not limited to machi...
Humans Machine Learning Algorithms Phenotype Electronic Health Records Natural Language Processing
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Drug Burden Index Is a Modifiable Predictor of 30-Day Hospitalization in Community-Dwelling Older Adults With Complex Care Needs: Machine Learning Analysis of InterRAI Data.

The journals of gerontology. Series A, Biological sciences and medical sciences Aug 1, 2024
BACKGROUND: Older adults (≥65 years) account for a disproportionately high proportion of hospitalization and in-hospital mortality, some of which may be avoidable. Although machine learning (ML) models have already been built and validated for predic...
Aged Aged, 80 and over Male Geriatric Assessment Independent Living Retrospective Studies Female Hospitalization Humans Machine Learning
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Predicting intraocular lens tilt using a machine learning concept.

Journal of cataract and refractive surgery Aug 1, 2024
PURPOSE: To use a combination of partial least squares regression and a machine learning approach to predict intraocular lens (IOL) tilt using preoperative biometry data.
Aged Male Middle Aged Machine Learning Prospective Studies Female Tomography, Optical Coherence Phacoemulsification Biometry Refraction, Ocular Lenses, Intraocular Visual Acuity Humans Pseudophakia Lens Implantation, Intraocular Artificial Lens Implant Migration
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Artificial intelligence and machine learning in rheumatology.

Rheumatology (Oxford, England) Aug 1, 2024
Rheumatic Diseases Rheumatology Humans Artificial Intelligence Machine Learning
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Combined bioinformatics and machine learning methodologies reveal prognosis-related ceRNA network and propose ABCA8, CAT, and CXCL12 as independent protective factors against osteosarcoma.

Advances in clinical and experimental medicine : official organ Wroclaw Medical University Aug 1, 2024
BACKGROUND: Aberrant circular RNA (circRNA) acts as an oncogene or suppressor during neoplasm initiation and development. However, the functions of most circRNAs in osteosarcoma (OS) remain unclear.
Gene Expression Regulation, Neoplastic Osteosarcoma Bone Neoplasms Gene Regulatory Networks Computational Biology RNA, Messenger RNA, Circular Humans Protective Factors Machine Learning RNA, Competitive Endogenous Prognosis MicroRNAs Biomarkers, Tumor Chemokine CXCL12 ATP-Binding Cassette Transporters
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