AIMC Topic: Sex Factors
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Predicting coronary artery disease: a comparison between two data mining algorithms.
BMC public health
Apr 29, 2019
BACKGROUND: Cardiovascular diseases (CADs) are the first leading cause of death across the world. World Health Organization has estimated that morality rate caused by heart diseases will mount to 23 million cases by 2030. Hence, the use of data minin...
Deep learning for identifying environmental risk factors of acute respiratory diseases in Beijing, China: implications for population with different age and gender.
International journal of environmental health research
Mar 31, 2019
This study focuses on identifying environmental health risk factors related to acute respiratory diseases using deep learning method. Based on respiratory disease data, air pollution data and meteorological environmental data, cross-domain risk facto...
Risk Factors
Aged
Aged, 80 and over
Young Adult
Adult
Male
Humans
Female
Infant, Newborn
Air Pollutants
Particulate Matter
Incidence
Environmental Exposure
Beijing
Weather
Middle Aged
Respiratory Tract Diseases
Child, Preschool
Sex Factors
Infant
Child
Deep Learning
Age Factors
China
Acute Disease
Adolescent
Feature-weighted survival learning machine for COPD failure prediction.
Artificial intelligence in medicine
Mar 28, 2019
Chronic obstructive pulmonary disease (COPD) yields a high rate of failures such as hospital readmission and death in the United States, Canada and worldwide. COPD failure imposes a significant social and economic burden on society, and predicting su...
Canada
Age Factors
Predictive Value of Tests
Sex Factors
Patient Readmission
Male
Middle Aged
Severity of Illness Index
Time Factors
ROC Curve
Survival Analysis
Proportional Hazards Models
Machine Learning
Biomarkers
Prognosis
Retrospective Studies
Electronic Health Records
Aged
Aged, 80 and over
Pulmonary Disease, Chronic Obstructive
Female
Risk Factors
Humans
Hospitalization
Effects of Gender and Relationship Type on the Response to Artificial Intelligence.
Cyberpsychology, behavior and social networking
Mar 13, 2019
Artificial intelligence (AI) has had a huge impact on our lives. In this study, we suggest that when people interact with AI, they regard the AI as a social actor and apply interpersonal relationship norms. This study employed a 2 × 2 between-subject...
Relative Factors Analysis of Imatinib Trough Concentration in Chinese Patients with Gastrointestinal Stromal Tumor.
Chemotherapy
Mar 5, 2019
AIMS: Imatinib plasma trough levels (IM Cmin) have been reported to have a considerable clinical impact in patients with gastrointestinal stromal tumors (GISTs). We therefore have investigated the factors affecting IM plasma concentration in Chinese ...
Can AI Help Reduce Disparities in General Medical and Mental Health Care?
AMA journal of ethics
Feb 1, 2019
BACKGROUND: As machine learning becomes increasingly common in health care applications, concerns have been raised about bias in these systems' data, algorithms, and recommendations. Simply put, as health care improves for some, it might not improve ...
Physical characteristics not psychological state or trait characteristics predict motion during resting state fMRI.
Scientific reports
Jan 23, 2019
Head motion (HM) during fMRI acquisition can significantly affect measures of brain activity or connectivity even after correction with preprocessing methods. Moreover, any systematic relationship between HM and variables of interest can introduce sy...
Machine Learning Can Improve Estimation of Surgical Case Duration: A Pilot Study.
Journal of medical systems
Jan 17, 2019
Operating room (OR) utilization is a significant determinant of hospital profitability. One aspect of this is surgical scheduling, which depends on accurate predictions of case duration. This has been done historically by either the surgeon based on ...
Blood Biochemistry Analysis to Detect Smoking Status and Quantify Accelerated Aging in Smokers.
Scientific reports
Jan 15, 2019
There is an association between smoking and cancer, cardiovascular disease and all-cause mortality. However, currently, there are no affordable and informative tests for assessing the effects of smoking on the rate of biological aging. In this study ...
A Machine Learning Approach to Predicting Case Duration for Robot-Assisted Surgery.
Journal of medical systems
Jan 5, 2019
Robot-assisted surgery (RAS) requires a large capital investment by healthcare organizations. The cost of a robotic unit is fixed, so institutions must maximize use of each unit by utilizing all available operating room block time. One way to increas...
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