AIMC Topic: Middle Aged

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Early prediction of neoadjuvant chemotherapy response for advanced breast cancer using PET/MRI image deep learning.

Scientific reports Dec 3, 2020
This study aimed to investigate the predictive efficacy of positron emission tomography/computed tomography (PET/CT) and magnetic resonance imaging (MRI) for the pathological response of advanced breast cancer to neoadjuvant chemotherapy (NAC). The b...
Deep Learning Treatment Outcome Neoadjuvant Therapy Positron Emission Tomography Computed Tomography Aged Adult Breast Neoplasms Middle Aged Humans Female
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Interaction between hypotension and age on adrenal crisis diagnosis.

Endocrinology, diabetes & metabolism Dec 2, 2020
OBJECTIVE: To determine whether adrenal crisis (AC) identification may be affected by the definition of hypotension.
Middle Aged Adolescent Aged, 80 and over Humans Blood Pressure Blood Pressure Determination Young Adult Retrospective Studies Hypotension Age Factors Adult Female Delayed Diagnosis Adrenal Insufficiency Male Aged Cardiovascular Diseases
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A new deep learning approach integrated with clinical data for the dermoscopic differentiation of early melanomas from atypical nevi.

Journal of dermatological science Dec 2, 2020
BACKGROUND: Timely recognition of malignant melanoma (MM) is challenging for dermatologists worldwide and represents the main determinant for mortality. Dermoscopic examination is influenced by dermatologists' experience and fails to achieve adequate...
Image Interpretation, Computer-Assisted Dermoscopy Reproducibility of Results Datasets as Topic Aged Nevus Adolescent Adult Humans Aged, 80 and over Child, Preschool Female Male Young Adult Child Retrospective Studies Middle Aged Diagnosis, Differential Infant Skin Deep Learning Infant, Newborn Melanoma Skin Neoplasms
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Development and External Validation of a Machine Learning Tool to Rule Out COVID-19 Among Adults in the Emergency Department Using Routine Blood Tests: A Large, Multicenter, Real-World Study.

Journal of medical Internet research Dec 2, 2020
BACKGROUND: Conventional diagnosis of COVID-19 with reverse transcription polymerase chain reaction (RT-PCR) testing (hereafter, PCR) is associated with prolonged time to diagnosis and significant costs to run the test. The SARS-CoV-2 virus might lea...
COVID-19 Female Reproducibility of Results SARS-CoV-2 Aged Humans Machine Learning Pandemics Adult Sensitivity and Specificity Male Middle Aged Hospitals ROC Curve Area Under Curve Emergency Service, Hospital Laboratories Hematologic Tests
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Development and Validation of a Machine Learning Model to Explore Tyrosine Kinase Inhibitor Response in Patients With Stage IV EGFR Variant-Positive Non-Small Cell Lung Cancer.

JAMA network open Dec 1, 2020
IMPORTANCE: An end-to-end efficacy evaluation approach for identifying progression risk after epidermal growth factor receptor (EGFR)-tyrosine kinase inhibitor (TKI) therapy in patients with stage IV EGFR variant-positive non-small cell lung cancer (...
Antineoplastic Agents Lung Neoplasms Carcinoma, Non-Small-Cell Lung Predictive Value of Tests Neoplasm Staging Mutation Survival Analysis Machine Learning Proportional Hazards Models Humans Prognosis ErbB Receptors Protein Kinase Inhibitors Antineoplastic Protocols Female Male Middle Aged
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Comparison of Use of Health Care Services and Spending for Unauthorized Immigrants vs Authorized Immigrants or US Citizens Using a Machine Learning Model.

JAMA network open Dec 1, 2020
IMPORTANCE: Knowledge about use of health care services (health care utilization) and expenditures among unauthorized immigrant populations is uncertain because of limitations in ascertaining legal status in population data.
Los Angeles Health Expenditures Data Collection Emigrants and Immigrants Patient Acceptance of Health Care Population Groups Minority Health Undocumented Immigrants Female Humans Cross-Sectional Studies Machine Learning Male Databases, Factual Middle Aged Family Characteristics
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Using machine learning tools to predict outcomes for emergency department intensive care unit patients.

Scientific reports Dec 1, 2020
The number of critically ill patients has increased globally along with the rise in emergency visits. Mortality prediction for critical patients is vital for emergency care, which affects the distribution of emergency resources. Traditional scoring s...
Models, Biological Machine Learning Intensive Care Units Female Aged Male Middle Aged ROC Curve Treatment Outcome Area Under Curve Emergency Service, Hospital Humans
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Predicting the need for intubation in the first 24 h after critical care admission using machine learning approaches.

Scientific reports Dec 1, 2020
Early and accurate prediction of the need for intubation may provide more time for preparation and increase safety margins by avoiding high risk late intubation. This study evaluates whether machine learning can predict the need for intubation within...
Female Hospitalization Aged Male Middle Aged Humans Machine Learning Algorithms Cohort Studies ROC Curve Critical Care Calibration Intubation, Intratracheal
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Machine learning predicts live-birth occurrence before in-vitro fertilization treatment.

Scientific reports Dec 1, 2020
In-vitro fertilization (IVF) is a popular method of resolving complications such as endometriosis, poor egg quality, a genetic disease of mother or father, problems with ovulation, antibody problems that harm sperm or eggs, the inability of sperm to ...
Humans Machine Learning Algorithms Female Young Adult ROC Curve Fertilization in Vitro Adult Linear Models Male Live Birth Middle Aged Adolescent
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Development of machine learning models to predict RT-PCR results for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in patients with influenza-like symptoms using only basic clinical data.

Scandinavian journal of trauma, resuscitation and emergency medicine Dec 1, 2020
BACKGROUND: Reverse Transcription-Polymerase Chain Reaction (RT-PCR) for Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-COV-2) diagnosis currently requires quite a long time span. A quicker and more efficient diagnostic tool in emergency depar...
Machine Learning Software Humans SARS-CoV-2 Aged Diagnosis, Computer-Assisted Sensitivity and Specificity Reverse Transcriptase Polymerase Chain Reaction Male Middle Aged COVID-19 Retrospective Studies Female
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