AIMC Topic: Mobile Applications

Clear Filters Showing 171 to 180 of 306 articles

Developing a Process for the Analysis of User Journeys and the Prediction of Dropout in Digital Health Interventions: Machine Learning Approach.

Journal of medical Internet research Oct 28, 2020
BACKGROUND: User dropout is a widespread concern in the delivery and evaluation of digital (ie, web and mobile apps) health interventions. Researchers have yet to fully realize the potential of the large amount of data generated by these technology-b...
Mobile Applications Internet-Based Intervention Machine Learning Female Aged Male Middle Aged Young Adult Adult Humans
View on PubMed DOI

Not All Sepsis-Associated Acute Kidney Injury Is the Same: There May Be an App for That.

Clinical journal of the American Society of Nephrology : CJASN Oct 8, 2020
Acute Kidney Injury Deep Learning Sepsis Mobile Applications Humans
View on PubMed DOI

Artificial intelligence interventions focused on opioid use disorders: A review of the gray literature.

The American journal of drug and alcohol abuse Oct 2, 2020
BACKGROUND: With the artificial intelligence (AI) paradigm shift comes momentum toward the development and scale-up of novel AI interventions to aid in opioid use disorder (OUD) care, in the identification of overdose risk, and in the reversal of ove...
Mobile Applications Opioid-Related Disorders Drug Overdose Gray Literature Humans Artificial Intelligence Smartphone
View on PubMed DOI

An Innovative Artificial Intelligence-Based App for the Diagnosis of Gestational Diabetes Mellitus (GDM-AI): Development Study.

Journal of medical Internet research Sep 15, 2020
BACKGROUND: Gestational diabetes mellitus (GDM) can cause adverse consequences to both mothers and their newborns. However, pregnant women living in low- and middle-income areas or countries often fail to receive early clinical interventions at local...
Retrospective Studies Pregnancy Female Diabetes, Gestational Adult Mobile Applications Humans Artificial Intelligence
View on PubMed DOI

A detection method for android application security based on TF-IDF and machine learning.

PloS one Sep 11, 2020
Android is the most widely used mobile operating system (OS). A large number of third-party Android application (app) markets have emerged. The absence of third-party market regulation has prompted research institutions to propose different malware d...
Cell Phone Mobile Applications Humans Data Collection Machine Learning Computer Security Algorithms
View on PubMed DOI

Deep Learning and Multivariable Models Select EVAR Patients for Short-Stay Discharge.

Vascular and endovascular surgery Sep 10, 2020
OBJECTIVES: We sought to develop a prediction score with data from the Vascular Quality Initiative (VQI) EVAR in efforts to assist endovascular specialists in deciding whether or not a patient is appropriate for short-stay discharge.
Patient Selection Multivariate Analysis Endovascular Procedures Enhanced Recovery After Surgery Mobile Applications Treatment Outcome Patient Discharge Health Services Research Aortic Aneurysm Aged, 80 and over Male Risk Assessment Time Factors Smartphone Deep Learning Humans Length of Stay Female Risk Factors Decision Support Techniques Aged Databases, Factual Clinical Decision-Making
View on PubMed DOI

Digital Response During the COVID-19 Pandemic in Saudi Arabia.

Journal of medical Internet research Sep 1, 2020
BACKGROUND: The first case of COVID-19 in Saudi Arabia was confirmed on March 3, 2020. Saudi Arabia, like many other countries worldwide, implemented lockdown of most public and private services in response to the pandemic and established population ...
Artificial Intelligence Pandemics COVID-19 Public Health Humans Coronavirus Infections Health Education Pneumonia, Viral Saudi Arabia Mobile Applications Social Media
View on PubMed DOI

DZC DIAG: mobile application based on expert system to aid in the diagnosis of dengue, Zika, and chikungunya.

Medical & biological engineering & computing Aug 26, 2020
Dengue, Zika, and chikungunya are epidemic diseases transmitted by the Aedes mosquito. These virus infections can be so severe to the point of bringing on mobility and neurological problems, or even death. Expert systems (ES) can be used as tools for...
Zika Virus Infection Chikungunya Fever Dengue User-Computer Interface Mobile Applications Knowledge Bases Expert Systems Diagnostic Errors Brazil Diagnosis, Computer-Assisted Humans Physicians
View on PubMed DOI

BMIVPOT, a Fully Automated Version of the Intravenous Pole: Simulation, Design, and Evaluation.

Journal of healthcare engineering Aug 10, 2020
Robotic intravenous poles are automated supportive instrument that needs to be triggered by patients to hold medications and needed supplies. Healthcare engineering of robotic intravenous poles is advancing in order to improve the quality of health s...
Infusions, Intravenous Robotics Humans Microcomputers Reproducibility of Results Equipment Design User-Computer Interface Artificial Intelligence Patient Safety Equipment and Supplies, Hospital Computer-Aided Design Cost-Benefit Analysis Image Processing, Computer-Assisted Automation Computer Simulation Mobile Applications Therapy, Computer-Assisted Systems Integration
View on PubMed DOI

Using Natural Language Processing and Sentiment Analysis to Augment Traditional User-Centered Design: Development and Usability Study.

JMIR mHealth and uHealth Aug 7, 2020
BACKGROUND: Sarcopenia, defined as the age-associated loss of muscle mass and strength, can be effectively mitigated through resistance-based physical activity. With compliance at approximately 40% for home-based exercise prescriptions, implementing ...
Aged Adult Humans Female Mobile Applications Male Natural Language Processing Middle Aged Surveys and Questionnaires
View on PubMed DOI
Popular Topics
Recent Journals