AIMC Journal:
Computational and mathematical methods in medicine

Showing 211 to 220 of 406 articles

Deep Learning in Cancer Diagnosis and Prognosis Prediction: A Minireview on Challenges, Recent Trends, and Future Directions.

Computational and mathematical methods in medicine Oct 31, 2021
Deep learning (DL) is a branch of machine learning and artificial intelligence that has been applied to many areas in different domains such as health care and drug design. Cancer prognosis estimates the ultimate fate of a cancer subject and provides...
Algorithms Computational Biology Male Humans Databases, Factual Neoplasms Artificial Intelligence Prognosis Diagnosis, Computer-Assisted Machine Learning Female Deep Learning
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Image Enhancement Model Based on Deep Learning Applied to the Ureteroscopic Diagnosis of Ureteral Stones during Pregnancy.

Computational and mathematical methods in medicine Oct 29, 2021
OBJECTIVE: To explore the image enhancement model based on deep learning on the effect of ureteroscopy with double J tube placement and drainage on ureteral stones during pregnancy. We compare the clinical effect of ureteroscopy with double J tube pl...
Computational Biology Models, Statistical Artifacts Pregnancy Complications Female Humans Diagnosis, Computer-Assisted Neural Networks, Computer Image Enhancement Deep Learning Pregnancy Ureteroscopy Ultrasonography Ureteral Calculi Lithotripsy
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Multitask Interactive Attention Learning Model Based on Hand Images for Assisting Chinese Medicine in Predicting Myocardial Infarction.

Computational and mathematical methods in medicine Oct 26, 2021
Acute myocardial infarction (AMI) is one of the most serious and dangerous cardiovascular diseases. In recent years, the number of patients around the world has been increasing significantly, among which people under the age of 45 have become the hig...
Attention Image Interpretation, Computer-Assisted Computational Biology Medicine, Chinese Traditional Humans Hand Databases, Factual Myocardial Infarction Diagnosis, Computer-Assisted Deep Learning
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Dynamic Learning Rate in Deep CNN Model for Metastasis Detection and Classification of Histopathology Images.

Computational and mathematical methods in medicine Oct 26, 2021
Diagnosis of different breast cancer stages using histopathology whole slide images (WSI) is the gold standard in determining the grade of tissue metastasis. Computer-aided diagnosis (CAD) assists medical experts as a second opinion tool in early det...
Algorithms Female Breast Neoplasms Diagnosis, Computer-Assisted Deep Learning Computational Biology Diagnostic Imaging Neoplasm Metastasis Humans Neural Networks, Computer Histological Techniques
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Application of Deep Neural Network Factor Analysis Model in Operating Room Management Nursing Analysis of Postoperative Infection Nursing after Thoracic Surgery.

Computational and mathematical methods in medicine Oct 26, 2021
Thoracic surgery is the main surgical method for the treatment of respiratory diseases and lung diseases, but infections caused by improper care are prone to occur during the operation, which can induce pulmonary edema and lung injury and affect the ...
Cross Infection Operating Rooms Thoracic Surgical Procedures Models, Nursing Postoperative Complications Humans China Neural Networks, Computer Computational Biology Algorithms Factor Analysis, Statistical
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Efficient Prediction of Missed Clinical Appointment Using Machine Learning.

Computational and mathematical methods in medicine Oct 22, 2021
Public health and its related facilities are crucial for thriving cities and societies. The optimum utilization of health resources saves money and time, but above all, it saves precious lives. It has become even more evident in the present as the pa...
Data Interpretation, Statistical Bayes Theorem Appointments and Schedules No-Show Patients Logistic Models Support Vector Machine Decision Trees Area Under Curve Stochastic Processes Humans Neural Networks, Computer Machine Learning Algorithms Databases, Factual Computational Biology
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Automated Diagnosis of Chest X-Ray for Early Detection of COVID-19 Disease.

Computational and mathematical methods in medicine Oct 21, 2021
In March 2020, the World Health Organization announced the COVID-19 pandemic, its dangers, and its rapid spread throughout the world. In March 2021, the second wave of the pandemic began with a new strain of COVID-19, which was more dangerous for som...
Early Diagnosis Pneumonia, Viral Lung Diagnosis, Computer-Assisted Deep Learning Humans Algorithms Computational Biology Neural Networks, Computer Databases, Factual Pandemics Tomography, X-Ray Computed COVID-19 SARS-CoV-2
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A Deep Learning-Based Classification Method for Different Frequency EEG Data.

Computational and mathematical methods in medicine Oct 21, 2021
In recent years, the research on electroencephalography (EEG) has focused on the feature extraction of EEG signals. The development of convenient and simple EEG acquisition devices has produced a variety of EEG signal sources and the diversity of the...
Databases, Factual Diagnosis, Computer-Assisted Deep Learning Computational Biology Humans Neural Networks, Computer Algorithms Electroencephalography Epilepsy Signal Processing, Computer-Assisted Brain-Computer Interfaces
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A Deep Learning Approach for Predicting Antigenic Variation of Influenza A H3N2.

Computational and mathematical methods in medicine Oct 16, 2021
Modeling antigenic variation in influenza (flu) virus A H3N2 using amino acid sequences is a promising approach for improving the prediction accuracy of immune efficacy of vaccines and increasing the efficiency of vaccine screening. Antigenic drift a...
Databases, Protein Humans Amino Acid Sequence Neural Networks, Computer Influenza, Human Influenza A Virus, H3N2 Subtype Deep Learning Antigens, Viral Hemagglutinin Glycoproteins, Influenza Virus Computational Biology Antigenic Variation
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Comparing the Prognostic Value of Stress Myocardial Perfusion Imaging by Conventional and Cadmium-Zinc Telluride Single-Photon Emission Computed Tomography through a Machine Learning Approach.

Computational and mathematical methods in medicine Oct 16, 2021
We compared the prognostic value of myocardial perfusion imaging (MPI) by conventional- (C-) single-photon emission computed tomography (SPECT) and cadmium-zinc-telluride- (CZT-) SPECT in a cohort of patients with suspected or known coronary artery d...
Female Aged Male Middle Aged Neural Networks, Computer Machine Learning Algorithms Prognosis Coronary Artery Disease Cadmium Tomography, Emission-Computed, Single-Photon Myocardial Perfusion Imaging Humans Zinc Computational Biology Tellurium Exercise Test
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