AIMC Topic: Symptom Assessment
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Non-proliferative diabetic retinopathy symptoms detection and classification using neural network.
Journal of medical engineering & technology
Aug 8, 2017
Diabetic retinopathy (DR) causes blindness in the working age for people with diabetes in most countries. The increasing number of people with diabetes worldwide suggests that DR will continue to be major contributors to vision loss. Early detection ...
Pattern Recognition, Automated
Fluorescein Angiography
Symptom Assessment
Disease Progression
Decision Support Systems, Clinical
Image Interpretation, Computer-Assisted
Male
Middle Aged
Diabetic Retinopathy
Humans
Neural Networks, Computer
Female
Reproducibility of Results
Aged
Sensitivity and Specificity
Tadalafil Improves Symptoms, Erectile Function and Quality of Life in Patients with Lower Urinary Tract Symptoms Suggestive of Benign Prostatic Hyperplasia (KYU-PRO Study).
Lower urinary tract symptoms
Nov 5, 2016
OBJECTIVES: Effect of tadalafil on lower urinary tract symptoms (LUTS), erectile function and quality of life (QoL) were prospectively evaluated in patients with benign prostatic hyperplasia (BPH) at multicenter.
A literature-driven method to calculate similarities among diseases.
Computer methods and programs in biomedicine
Jul 9, 2015
BACKGROUND: "Our lives are connected by a thousand invisible threads and along these sympathetic fibers, our actions run as causes and return to us as results". It is Herman Melville's famous quote describing connections among human lives. To paraphr...
Machine learning approaches for fine-grained symptom estimation in schizophrenia: A comprehensive review.
Artificial intelligence in medicine
Jul 1, 2025
Schizophrenia is a severe yet treatable mental disorder, and it is diagnosed using a multitude of primary and secondary symptoms. Diagnosis and treatment for each individual depends on the severity of the symptoms. Therefore, there is a need for accu...
Identifying Symptom Information in Clinical Notes Using Natural Language Processing.
Nursing research
May 13, 2025
BACKGROUND: Symptoms are a core concept of nursing interest. Large-scale secondary data reuse of notes in electronic health records (EHRs) has the potential to increase the quantity and quality of symptom research. However, the symptom language used ...
GPT-4 in Clinical Practice: Assessing Its Capability for Symptom Extraction from Cancer Patient Notes.
Studies in health technology and informatics
Apr 8, 2025
Accurate extraction of patient symptoms and signs from clinical notes is essential for effective diagnosis, treatment planning, and research. In this study, we evaluate the capability of GPT-4, specifically GPT-4o, in extracting symptoms and signs fr...
Evaluation of the Performance of a Large Language Model to Extract Signs and Symptoms from Clinical Notes.
Studies in health technology and informatics
Apr 8, 2025
Large language models (LLMs) have increasingly been used to extract critical information from unstructured clinical notes, which often include important details not captured in the structured sections of electronic health records (EHRs). This study a...
Leveraging Convolutional Neural Networks for Predicting Symptom Escalation in Chemotherapy Patients: A Temporal Resampling Approach.
Studies in health technology and informatics
Apr 8, 2025
This paper introduces a novel approach for predicting symptom escalation in chemotherapy patients by leveraging Convolutional Neural Networks (CNNs). Accurate forecasting of symptom escalation is crucial in cancer care, as it enables timely intervent...
Utility of word embeddings from large language models in medical diagnosis.
Journal of the American Medical Informatics Association : JAMIA
Mar 1, 2025
OBJECTIVE: This study evaluates the utility of word embeddings, generated by large language models (LLMs), for medical diagnosis by comparing the semantic proximity of symptoms to their eponymic disease embedding ("eponymic condition") and the mean o...
Extraction of Normalized Symptom Mentions From Clinical Narratives Using Large Language Models.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Jan 1, 2024
Symptoms, or subjective experiences of patients which can indicate underlying pathology, are important for guiding clinician decision-making and revealing patient wellbeing. However, they are difficult to study because information is primarily found ...
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