AIMC Topic: Early Diagnosis

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Optimizing early diagnosis by integrating multiple classifiers for predicting brain stroke and critical diseases.

Scientific reports Nov 18, 2024
Machine learning has gained attention in the medical field. Continuous efforts are being made to develop robust models for early prognosis purposes. The brain is the most pivotal organ in the human body. A brain stroke is generally caused by a blocka...
Parkinson Disease Stroke Myocardial Infarction Algorithms Prognosis Humans Machine Learning Alzheimer Disease Early Diagnosis
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Role of artificial intelligence in early diagnosis and treatment of infectious diseases.

Infectious diseases (London, England) Nov 14, 2024
Infectious diseases remain a global health challenge, necessitating innovative approaches for their early diagnosis and effective treatment. Artificial Intelligence (AI) has emerged as a transformative force in healthcare, offering promising solution...
Deep Learning Early Diagnosis Machine Learning Algorithms Communicable Diseases Humans Artificial Intelligence
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Early Identification of Cognitive Impairment in Community Environments Through Modeling Subtle Inconsistencies in Questionnaire Responses: Machine Learning Model Development and Validation.

JMIR formative research Nov 13, 2024
BACKGROUND: The underdiagnosis of cognitive impairment hinders timely intervention of dementia. Health professionals working in the community play a critical role in the early detection of cognitive impairment, yet still face several challenges such ...
Female Aged Aged, 80 and over Surveys and Questionnaires Psychometrics Male Middle Aged Humans Cognitive Dysfunction Machine Learning Early Diagnosis
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Machine learning model for age-related macular degeneration based on heavy metals: The National Health and Nutrition Examination Survey 2005 to 2008.

Scientific reports Nov 6, 2024
Age-related macular degeneration (AMD) is the leading cause of blindness in older people in developed countries. It has been suggested that heavy metal exposure may be associated with the development of AMD, but most studies have focused on the effec...
Early Diagnosis Metals, Heavy Fundus Oculi Macular Degeneration Cadmium Age Factors Predictive Value of Tests Aged, 80 and over Environmental Exposure Adult Cross-Sectional Studies Risk Assessment Machine Learning Nutrition Surveys Female Male Risk Factors Middle Aged Humans Aged
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Machine learning-based identification and validation of immune-related biomarkers for early diagnosis and targeted therapy in diabetic retinopathy.

Gene Oct 18, 2024
The early diagnosis of diabetic retinopathy (DR) is challenging, highlighting the urgent need to identify new biomarkers. Immune responses play a crucial role in DR, yet there are currently no reports of machine learning (ML) algorithms being utilize...
Molecular Targeted Therapy Support Vector Machine Bayes Theorem Early Diagnosis Diabetic Retinopathy Machine Learning Algorithms Biomarkers Gene Expression Profiling Humans Molecular Docking Simulation Gene Regulatory Networks
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Artificial intelligence-driven predictive framework for early detection of still birth.

SLAS technology Oct 17, 2024
Predictive modeling is becoming increasingly popular in the context of early disease detection. The use of machine learning approaches for predictive modeling can help early detection of diseases thereby enabling medical experts to appropriate medica...
Cardiotocography Early Diagnosis Stillbirth Humans Pregnancy Female Artificial Intelligence Machine Learning
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Deep learning assists early-detection of hypertension-mediated heart change on ECG signals.

Hypertension research : official journal of the Japanese Society of Hypertension Oct 12, 2024
Arterial hypertension is a major risk factor for cardiovascular diseases. While cardiac ultrasound is a typical way to diagnose hypertension-mediated heart change, it often fails to detect early subtle structural changes. Electrocardiogram(ECG) repre...
Humans Female Adult Hypertension Electrocardiography Heart Early Diagnosis Male Middle Aged Deep Learning
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Development and validation of a sepsis risk index supporting early identification of ICU-acquired sepsis: an observational study.

Anaesthesia, critical care & pain medicine Oct 2, 2024
BACKGROUND: Sepsis is a threat to global health, and domestically is the major cause of in-hospital mortality. Due to increases in inpatient morbidity and mortality resulting from sepsis, healthcare providers (HCPs) would accrue significant benefits ...
Humans Machine Learning Intensive Care Units Female Male Middle Aged Risk Assessment Sepsis Aged Adult Sensitivity and Specificity Critical Care Early Diagnosis Hospital Mortality Cross Infection ROC Curve Shock, Septic
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Combining 2.5D deep learning and conventional features in a joint model for the early detection of sICH expansion.

Scientific reports Sep 28, 2024
The study aims to investigate the potential of training efficient deep learning models by using 2.5D (2.5-Dimension) masks of sICH. Furthermore, it intends to evaluate and compare the predictive performance of a joint model incorporating four types o...
Deep Learning ROC Curve Aged Humans Early Diagnosis Male Retrospective Studies Middle Aged Female
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Late feature fusion using neural network with voting classifier for Parkinson's disease detection.

BMC medical informatics and decision making Sep 27, 2024
Parkinson's disease (PD) is classified as a neurological, progressive illness brought on by cell death in the posterior midbrain. Early PD detection will assist doctors in reducing the disease's consequences. A collection of skilled models that may b...
Early Diagnosis Handwriting Voting Machine Learning Humans Parkinson Disease Neural Networks, Computer
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