AIMC Topic: Case-Control Studies

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A machine learning model to predict critical care outcomes in patient with chest pain visiting the emergency department.

BMC emergency medicine Oct 7, 2021
BACKGROUND: Currently, the risk stratification of critically ill patient with chest pain is a challenge. We aimed to use machine learning approach to predict the critical care outcomes in patients with chest pain, and simultaneously compare its perfo...
Humans Machine Learning Retrospective Studies Female Triage Emergency Service, Hospital Percutaneous Coronary Intervention Chest Pain Critical Care Outcomes Aged Male Middle Aged Case-Control Studies
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Classification of Alzheimer's Disease Using Gaussian-Based Bayesian Parameter Optimization for Deep Convolutional LSTM Network.

Computational and mathematical methods in medicine Oct 4, 2021
Alzheimer's disease (AD) is one of the most important causes of mortality in elderly people, and it is often challenging to use traditional manual procedures when diagnosing a disease in the early stages. The successful implementation of machine lear...
Normal Distribution Bayes Theorem Alzheimer Disease Early Diagnosis Neural Networks, Computer Neuroimaging Humans Prognosis Computational Biology Cognitive Dysfunction Case-Control Studies Magnetic Resonance Imaging Imaging, Three-Dimensional Deep Learning Multimodal Imaging
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Artificial intelligence application versus physical therapist for squat evaluation: a randomized controlled trial.

Scientific reports Sep 13, 2021
Artificial intelligence technology is becoming more prevalent in health care as a tool to improve practice patterns and patient outcomes. This study assessed ability of a commercialized artificial intelligence (AI) mobile application to identify and ...
Formative Feedback Rehabilitation Physical Therapists Mobile Applications Quality Improvement Practice Patterns, Physicians' Physical Therapy Modalities Humans Artificial Intelligence Adult Female Male Case-Control Studies
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Deep learning detects acute myeloid leukemia and predicts NPM1 mutation status from bone marrow smears.

Leukemia Sep 8, 2021
The evaluation of bone marrow morphology by experienced hematopathologists is essential in the diagnosis of acute myeloid leukemia (AML); however, it suffers from a lack of standardization and inter-observer variability. Deep learning (DL) can proces...
Bone Marrow Nucleophosmin Case-Control Studies Deep Learning Follow-Up Studies Mutation Prognosis Retrospective Studies Female Aged Leukemia, Myeloid, Acute Male Middle Aged Adult Biomarkers, Tumor Humans
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Deep Learning Predicts Interval and Screening-detected Cancer from Screening Mammograms: A Case-Case-Control Study in 6369 Women.

Radiology Sep 7, 2021
Background The ability of deep learning (DL) models to classify women as at risk for either screening mammography-detected or interval cancer (not detected at mammography) has not yet been explored in the literature. Purpose To examine the ability of...
Humans Prospective Studies Case-Control Studies Deep Learning United States Mass Screening Mammography Female Reproducibility of Results Breast Neoplasms Middle Aged Predictive Value of Tests Radiographic Image Interpretation, Computer-Assisted Breast
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Detection of sarcopenic obesity and prediction of long-term survival in patients with gastric cancer using preoperative computed tomography and machine learning.

Journal of surgical oncology Sep 7, 2021
BACKGROUND: Previous studies evaluating the prognostic value of computed tomography (CT)-derived body composition data have included few patients. Thus, we assessed the prevalence and prognostic value of sarcopenic obesity in a large population of ga...
Gastrectomy Obesity Sarcopenia Muscle, Skeletal Body Composition Risk Factors Stomach Neoplasms Survival Rate Cross-Sectional Studies Case-Control Studies Body Mass Index Follow-Up Studies Male Middle Aged Machine Learning Prognosis Tomography, X-Ray Computed Female Humans
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Risk prediction of diabetic nephropathy using machine learning techniques: A pilot study with secondary data.

Diabetes & metabolic syndrome Aug 28, 2021
AIMS: This research work presented a comparative study of machine learning (ML), including two objectives: (i) determination of the risk factors of diabetic nephropathy (DN) based on principal component analysis (PCA) via different cutoffs; (ii) pred...
Humans Support Vector Machine Follow-Up Studies Machine Learning Risk Assessment Principal Component Analysis Prognosis Female Bayes Theorem Case-Control Studies Reproducibility of Results Pilot Projects Male Diabetes Mellitus, Type 2 Middle Aged Diabetic Nephropathies
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An approach to rapidly assess sepsis through multi-biomarker host response using machine learning algorithm.

Scientific reports Aug 19, 2021
Sepsis is a life-threatening condition and understanding the disease pathophysiology through the use of host immune response biomarkers is critical for patient stratification. Lack of accurate sepsis endotyping impedes clinicians from making timely d...
Clinical Decision-Making Reproducibility of Results Case-Control Studies Sepsis Bayes Theorem Humans Machine Learning Algorithms Biomarkers
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Deep learning-based gene selection in comprehensive gene analysis in pancreatic cancer.

Scientific reports Aug 13, 2021
The selection of genes that are important for obtaining gene expression data is challenging. Here, we developed a deep learning-based feature selection method suitable for gene selection. Our novel deep learning model includes an additional feature-s...
Female Aged Male Humans Pancreas Kaplan-Meier Estimate Genes, Neoplasm Gene Expression Regulation, Neoplastic Middle Aged Pancreatic Neoplasms Transcriptome Carcinoma, Pancreatic Ductal Case-Control Studies Survival Analysis Deep Learning
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Interleukin-37 gene polymorphism and susceptibility to pulmonary tuberculosis among Iraqi patients.

The Indian journal of tuberculosis Aug 12, 2021
BACKGROUND: Control of tuberculosis (TB) depends on a balance between host's immune factors and bacterial evasion strategies. Interleukin-37 (IL-37) is among the immunomodulatory factors that have been proposed to influence susceptibility to tubercul...
Interleukins Humans Iraq Case-Control Studies Tuberculosis, Pulmonary Genetic Predisposition to Disease Polymorphism, Single Nucleotide
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