AIMC Topic: Female

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Machine Learning-based Sleep Staging in Patients with Sleep Apnea Using a Single Mandibular Movement Signal.

American journal of respiratory and critical care medicine Nov 15, 2021
Female Adult Sensitivity and Specificity Male Machine Learning Algorithms Prospective Studies Pattern Recognition, Automated Polysomnography Sleep Stages Middle Aged Mandible Sleep Apnea Syndromes Humans
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Artificial Neural Networks Predict 30-Day Mortality After Hip Fracture: Insights From Machine Learning.

The Journal of the American Academy of Orthopaedic Surgeons Nov 15, 2021
OBJECTIVES: Accurately stratifying patients in the preoperative period according to mortality risk informs treatment considerations and guides adjustments to bundled reimbursements. We developed and compared three machine learning models to determine...
Humans Bayes Theorem Neural Networks, Computer Hip Fractures Machine Learning Female Male Logistic Models
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Automatic segmentation of paravertebral muscles in abdominal CT scan by U-Net: The application of data augmentation technique to increase the Jaccard ratio of deep learning.

Medicine Nov 5, 2021
Sarcopenia, characterized by a decline of skeletal muscle mass, has emerged as an important prognostic factor for cancer patients. Trunk computed tomography (CT) is a commonly used modality for assessment of cancer disease extent and treatment outcom...
Male Middle Aged Deep Learning Image Processing, Computer-Assisted Abdomen Sarcopenia Muscle, Skeletal Female Diagnostic Imaging Humans Aged Aged, 80 and over Tomography, X-Ray Computed Adult
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XOmiVAE: an interpretable deep learning model for cancer classification using high-dimensional omics data.

Briefings in bioinformatics Nov 5, 2021
The lack of explainability is one of the most prominent disadvantages of deep learning applications in omics. This 'black box' problem can undermine the credibility and limit the practical implementation of biomedical deep learning models. Here we pr...
Cluster Analysis Area Under Curve Male Computational Biology Neoplasms Signal Transduction Gene Expression Profiling Databases, Genetic Deep Learning ROC Curve Gene Regulatory Networks Genomics Algorithms Female Humans Reproducibility of Results Machine Learning Biomarkers, Tumor
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Elucidation of dynamic microRNA regulations in cancer progression using integrative machine learning.

Briefings in bioinformatics Nov 5, 2021
MOTIVATION: Empowered by advanced genomics discovery tools, recent biomedical research has produced a massive amount of genomic data on (post-)transcriptional regulations related to transcription factors, microRNAs, long non-coding RNAs, epigenetic m...
Female Breast Neoplasms Disease Progression Gene Regulatory Networks Models, Theoretical MicroRNAs Humans Machine Learning
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Integration and interplay of machine learning and bioinformatics approach to identify genetic interaction related to ovarian cancer chemoresistance.

Briefings in bioinformatics Nov 5, 2021
Although chemotherapy is the first-line treatment for ovarian cancer (OCa) patients, chemoresistance (CR) decreases their progression-free survival. This paper investigates the genetic interaction (GI) related to OCa-CR. To decrease the complexity of...
Humans Databases, Nucleic Acid Gene Regulatory Networks Gene Expression Regulation, Neoplastic Machine Learning Ovarian Neoplasms Female Drug Resistance, Neoplasm Gene Expression Profiling
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Deep-Learning-Based Evaluation of Dual Stain Cytology for Cervical Cancer Screening: A New Paradigm.

Journal of the National Cancer Institute Nov 2, 2021
Female Uterine Cervical Neoplasms Deep Learning Vaginal Smears Humans Cytodiagnosis Coloring Agents Ki-67 Antigen Papillomaviridae Papillomavirus Infections Mass Screening Early Detection of Cancer
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Training, Validation, and Test of Deep Learning Models for Classification of Receptor Expressions in Breast Cancers From Mammograms.

JCO precision oncology Nov 1, 2021
PURPOSE: The molecular subtype of breast cancer is an important component of establishing the appropriate treatment strategy. In clinical practice, molecular subtypes are determined by receptor expressions. In this study, we developed a model using d...
Gene Expression Receptor, ErbB-2 Breast Neoplasms Models, Biological Receptors, Estrogen Datasets as Topic Humans Middle Aged Receptors, Progesterone Female Deep Learning Aged Mammography
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The Use of Mobile Thermal Imaging and Deep Learning for Prediction of Surgical Site Infection.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Nov 1, 2021
The ability to detect surgical site infections (SSI) is a critical need for healthcare worldwide, but is especially important in low-income countries, where there is limited access to health facilities and trained clinical staff. In this paper, we pr...
Female Cesarean Section Neural Networks, Computer Humans Deep Learning Machine Learning Surgical Wound Infection Pregnancy
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Placental Super Micro-vessels Segmentation Based on ResNeXt with Convolutional Block Attention and U-Net.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Nov 1, 2021
Accurate placenta super micro-vessels segmentation is the key to diagnose placental diseases. However, the current automatic segmentation algorithm has issues of information redundancy and low information utilization, which reduces the segmentation a...
Pregnancy Female Attention Image Processing, Computer-Assisted Placenta Humans Neural Networks, Computer Algorithms
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