Results 41 to 50 of about 678,602 (266)

Evidence‐Based Clinical Practice Guidelines for the Management of Pediatric Febrile Neutropenia: Resource‐Sensitive Recommendations for the Asian Continent

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Febrile neutropenia (FN) is a frequent and serious complication in children receiving cancer therapy. Standardizing FN management across Asia is challenging due to variable healthcare infrastructure, diagnostic capacity, and infection patterns; however, it could improve resource use and patient outcomes.
Joliza Patricia Cañeba, Shweta Bansal, Tea Reljic, Allyne Montecillo‐Aguelo, Hamidah Alias, Farrah Amaranto, Maria Stella Aquino‐Calingasan, Bambang Ardianto, Eggi Arguni, Sally Blair, Thi Tam Dang, Maria Beatriz Gepte, Samanmalee Gunasekara, Andini Handayani, Miriam Kimpo, Catherine G. Lam, Nawachai Lertvivatpong, Sergio Licona, Ana Loseo, Ratha Mlis, Vivian Moreno Berrio, Nguyen Hoai Anh, Anna Lisa Ong‐Lim, Ha Thu Pham, Krishna Sagar Sharma, Bun Sereyleak, Sally Jane G. Velasco‐Aro, Su Yadana, Ambuj Kumar, Sheena Mukkada   +29 more
wiley   +1 more source

A Systematic Review of Healthcare Applications for Smartphones

BMC Medical Informatics and Decision Making, 2012
Background Advanced mobile communications and portable computation are now combined in handheld devices called “smartphones”, which are also capable of running third-party software.
Mosa Abu Saleh, Yoo Illhoi, Sheets Lincoln   +2 more
doaj   +1 more source

Deep learning-enabled medical computer vision

npj Digital Medicine, 2021
A decade of unprecedented progress in artificial intelligence (AI) has demonstrated the potential for many fields—including medicine—to benefit from the insights that AI techniques can extract from data.
Andre Esteva, Katherine Chou, Serena Yeung, Nikhil Naik, Ali Madani, Ali Mottaghi, Yun Liu, Eric Topol, Jeff Dean, Richard Socher   +9 more
doaj   +1 more source

Mobile health: A comparative study of medical and health applications in Iran

Biomedical and Biotechnology Research Journal, 2022
Background: The use of mobile phones in the field of medicine is rapidly increasing in developed and developing countries. This study aimed to evaluate the performance of the top mobile applications based on superiority from the user's point of view and ...
Lida Fadaizadeh, Mohammad Sanaat, Ebrahim Yousefi, Niloofar Alizadeh   +3 more
doaj   +1 more source

Uncovering Inequities: The Role of Social Determinants of Health in Hospitalized Adolescents and Young Adults With Heavy Menstrual Bleeding

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Heavy menstrual bleeding (HMB) is a common condition among adolescents and young adults (AYAs) and is the leading cause of iron deficiency anemia (IDA) in this population. Growing evidence suggests that social determinants of health (SDOH) influence menstrual bleeding patterns, access to care, and treatment. However, no studies have
Maria Carter‐Febres, Cristina Tarango, Ashley Childress, Chunyan Liu, Evan Thomas, Jennifer Pomales, Eric S. Mullins   +6 more
wiley   +1 more source

An Evaluation of Free Medical Applications for Android Smartphones

Applied Medical Informatics, 2016
ntroduction: The field of healthcare applications (apps) currently holds potential to improve the daily medical practice by implementing evidence-based healthcare tools.
Roxana D. CAPRAŞ, Sorana D. BOLBOACĂ
doaj   +2 more sources

Thematic Categorization of Mobile Health Software Packages and their Priority from the Perspective of Iranian Physicians

مجله انفورماتیک سلامت و زیست پزشکی, 2017
Introduction: Mobile health is the use of mobile and wireless technologies for health-related goals. To this end, various mobile applications have been created in different medical fields.
Sedighe Karami, Farkhondeh Asadi, Hassan Emami   +2 more
doaj  

Optimized Forest Framework with A Binary Multineighborhood Artificial Bee Colony for Enhanced Diabetes Mellitus Detection

International Journal of Computational Intelligence Systems
Diabetes mellitus (DM) is a common chronic condition that mainly affects older adults. It's important to identify it early to prevent complications. Machine learning is essential for early detection of DM.
Gaurav Pradhan, Gopal Thapa, Ratika Pradhan, Bidita Khandelwal, Ranjit Panigrahi, Akash Kumar Bhoi, Paolo Barsocchi   +6 more
doaj   +1 more source

Suitability assessment of baseline concentration of MMP3, TIMP3, HE4 and CA125 in the serum of patients with ovarian cancer

Journal of Ovarian Research, 2018
Background MMP and TIMP play an important role in the degradation of extracellular matrix components which are essential for tumor growth, invasion and metastasis.
Aneta Cymbaluk-Płoska, Anita Chudecka-Głaz, Ewa Pius-Sadowska, Bogusław Machaliński, Janusz Menkiszak, Agnieszka Sompolska-Rzechuła   +5 more
doaj   +1 more source

Effectiveness of Resistance Intradialytic Exercise Compared to Aerobic Intradialytic Exercise for Patients With Chronic Kidney Disease: A Randomized Controlled Clinical Trial

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Patients with chronic kidney disease undergoing hemodialysis commonly experience reduced physical function, fatigue, poor sleep quality, and impaired health‐related quality of life. Intradialytic exercise has been proposed as a non‐pharmacological strategy to improve these outcomes.
Klebson da Silva Almeida, Gisela Cristiane Miyamoto, Daniel da Costa Torres, Ian Setubal Reis Chaves, Jonas do Carmo Paschoalin, Braúlio Lima Nascimento, Luciana Dias Chiavegato   +6 more
wiley   +1 more source