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Case-Control Studies

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Harnessing the Power of Machine Learning and Electronic Health Records to Support Child Abuse and Neglect Identification in Emergency Department Settings.

Studies in health technology and informatics Aug 22, 2024
Emergency departments (EDs) are pivotal in detecting child abuse and neglect, but this task is often complex. Our study developed a machine learning model using structured and unstructured electronic health record (EHR) data to predict when children ...
Machine Learning Algorithms Electronic Health Records Female Child Humans Natural Language Processing Male Emergency Service, Hospital Infant Child Abuse Case-Control Studies Child, Preschool
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Optimizing Concussion Care Seeking: Using Machine Learning to Predict Delayed Concussion Reporting.

The American journal of sports medicine Jul 1, 2024
BACKGROUND: Early medical attention after concussion may minimize symptom duration and burden; however, many concussions are undiagnosed or have a delay in diagnosis after injury. Many concussion symptoms (eg, headache, dizziness) are not visible, me...
Humans Adult Male Case-Control Studies Adolescent Machine Learning Female Young Adult Brain Concussion Patient Acceptance of Health Care Athletic Injuries United States Athletes Military Personnel
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A Deep Learning-Based Approach to Estimate Paneth Cell Granule Area in Celiac Disease.

Archives of pathology & laboratory medicine Jul 1, 2024
CONTEXT.—: Changes in Paneth cell numbers can be associated with chronic inflammatory diseases of the gastrointestinal tract. So far, no consensus has been achieved on the number of Paneth cells and their relevance to celiac disease (CD).
Celiac Disease Paneth Cells Female Adult Male Case-Control Studies Humans Deep Learning Duodenum Biopsy
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Characterization of unique pattern of immune cell profile in patients with nasopharyngeal carcinoma through flow cytometry and machine learning.

Journal of cellular and molecular medicine Jun 1, 2024
In patients with nasopharyngeal carcinoma (NPC), the alteration of immune responses in peripheral blood remains unclear. In this study, we established an immune cell profile for patients with NPC and used flow cytometry and machine learning (ML) to i...
Programmed Cell Death 1 Receptor Nasopharyngeal Carcinoma Nasopharyngeal Neoplasms Case-Control Studies CD8-Positive T-Lymphocytes Flow Cytometry Humans Machine Learning Female Aged Adult Male Middle Aged
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Bayesian and deep-learning models applied to the early detection of ovarian cancer using multiple longitudinal biomarkers.

Cancer medicine Apr 1, 2024
BACKGROUND: Ovarian cancer is the most lethal of all gynecological cancers. Cancer Antigen 125 (CA125) is the best-performing ovarian cancer biomarker which however is still not effective as a screening test in the general population. Recent literatu...
ROC Curve Early Detection of Cancer Ovarian Neoplasms Bayes Theorem Biomarkers, Tumor Case-Control Studies Deep Learning Humans Female
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Assessment of Osteoprotegerin and Receptor Activator of Nf-Κb Ligand in Malaysian Male Patients with Chronic Obstructive Pulmonary Disease: A Cross-Sectional Study.

Revista de investigacion clinica; organo del Hospital de Enfermedades de la Nutricion Jan 1, 2024
Background: Limited information exists regarding the pathophysiological interactions between osteoporosis and chronic obstructive pulmonary disease (COPD). Objective: To study the association of Osteoprotegerin (OPG) and receptor activator of nuclear...
Case-Control Studies Body Mass Index Pulmonary Disease, Chronic Obstructive Osteoprotegerin Humans RANK Ligand Cross-Sectional Studies Malaysia Osteoporosis Male Middle Aged Aged
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Lung cancer detection based on computed tomography image using convolutional neural networks.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2024
BACKGROUND: Lung cancer is the most common type of cancer, accounting for 12.8% of cancer cases worldwide. As initially non-specific symptoms occur, it is difficult to diagnose in the early stages.
Aged Sensitivity and Specificity Male Middle Aged Case-Control Studies Deep Learning Lung Neoplasms Neural Networks, Computer Retrospective Studies Tomography, X-Ray Computed Female Humans
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Importance of GWAS Risk Loci and Clinical Data in Predicting Asthma Using Machine-learning Approaches.

Combinatorial chemistry & high throughput screening Jan 1, 2024
INTRODUCTION: To understand the risk factors of asthma, we combined genome-wide association study (GWAS) risk loci and clinical data in predicting asthma using machine-learning approaches.
Middle Aged Case-Control Studies Genome-Wide Association Study Genetic Predisposition to Disease Polymorphism, Single Nucleotide Genetic Loci Risk Factors Humans Adult Machine Learning Asthma Female Male
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[Development of auxiliary early predicting model for human brucellosis using machine learning algorithm].

Zhonghua yu fang yi xue za zhi [Chinese journal of preventive medicine] Oct 6, 2023
Using machine learning algorithms to construct an early prediction model of brucellosis to improve the diagnosis efficiency of Brucellosis. This study was a case-control study. 2 381 brucellosis patients from Beijing Ditan Hospital affiliated to Capi...
Case-Control Studies Machine Learning Bayes Theorem Algorithms Humans Retrospective Studies Male
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Plasma insulin-like growth factor-II (IGF-II) and IGF-II/IGF-I ratio in a chilean case of Doege-Potter Syndrome.

Revista medica de Chile Oct 1, 2023
INTRODUCTION: Doege-Potter syndrome is a rare clinical entity characterized by recurrent hypoglycemic events caused by non-pancreatic tumors secreting an incompletely processed high-molecular-weight form of Insulin-like Growth factor-II (IGF-II).
Case-Control Studies Insulin-Like Growth Factor I Enzyme-Linked Immunosorbent Assay Blotting, Western Humans Chile Adult Female Insulin-Like Growth Factor II Male Middle Aged
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