Results 31 to 40 of about 33,772,144 (297)

Anemia Classification System Using Machine Learning

Informatics
In this study, a system was developed to predict anemia using blood count data and supervised learning algorithms. Anemia, a common condition characterized by low levels of red blood cells or hemoglobin, affects oxygenation and often causes symptoms ...
Jorge Gómez Gómez, Camilo Parra Urueta, Daniel Salas Álvarez, Velssy Hernández Riaño, Gustavo Ramirez-Gonzalez   +4 more
doaj   +1 more source

Zur Interoperabilität des bundeseinheitlichen Medikationsplanes – vom „Ultrakurzformat“ zu HL7-Standards

GMS Medizinische Informatik, Biometrie und Epidemiologie, 2017
According to the German E-Health-Law it will be mandatory to hand out a national medication plan (BMP) in printed form to all patients that have a prescription of three or more drugs to take at the same time starting 1 April, 2017.
Hoffmann, Clemens, Meyer, Kyrill, Elze, Romy   +2 more
doaj   +1 more source

Privacy of Personal Health Information (eHealth) and Covid 19 Pandemic: The Sri Lankan Experience

Sri Lanka Journal of Medicine, 2022
Privacy in relation to personal information is one of the most important facets of the concept of personal privacy as it demands that information that relates to a particular person shall remain private and secured.
U. M. Sapukotana, T. B. Abeysekara
doaj   +1 more source

Hospitalization Through Families’ Eyes: Comparing Inpatient Care Quality for Children With Sickle Cell Disease and Cystic Fibrosis in Canada

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Sickle cell disease (SCD) is a chronic, inherited hemoglobinopathy that requires frequent hospitalization for disease‐related complications. Canadian data on inpatient care is limited. This study compared caregiver‐reported hospital experiences of children with SCD to those with cystic fibrosis (CF), a chronic, autosomal recessive ...
Hailey M. Zwicker, Kyle Kemp, Perri Tutelman, Sharon H. J. Hou, Paul Fairie, Maria Santana, Gregory M. T. Guilcher, Taryn Fay‐McClymont, Glenda Bendiak, Wendy Pelletier, Nicola Wright, Fiona Schulte   +11 more
wiley   +1 more source

Wearable-Based Human Activity Recognition Using an IoT Approach

Journal of Sensor and Actuator Networks, 2017
This paper presents a novel system based on the Internet of Things (IoT) to Human Activity Recognition (HAR) by monitoring vital signs remotely. We use machine learning algorithms to determine the activity done within four pre-established categories (lie,
Diego Castro, William Coral, Camilo Rodriguez, Jose Cabra, Julian Colorado   +4 more
doaj   +1 more source

Patients’ and providers’ perspectives on e-health applications designed for self-care in association with surgery – a scoping review

BMC Health Services Research, 2022
Background Before and after major surgery, access to information in a user-friendly way is a prerequisite for patients to feel confident in taking on the responsibility for their surgical preparation and recovery.
Lotta Wikström, Kristina Schildmeijer, Elisabeth Mueller Nylander, Kerstin Eriksson   +3 more
doaj   +1 more source

Venous Thromboembolism in Pediatric Bone Sarcoma Patients: A 10‐Year, Single‐Institution Experience Encompassing the COVID‐19 Pandemic

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Osteosarcoma (OS) and Ewing sarcoma (EWS) are the most common primary bone cancers in children, but acute thrombosis is poorly characterized in this population. Our study evaluated the rates of venous thromboembolism (VTE) and associated risk factors in pediatric patients with bone sarcomas treated over a 10‐year period encompassing
Sarah Kappa, Shou Xu, Mark Zobeck, Sarah E. Sartain, Nino Rainusso, Lisa Wang, Nicole Montgomery, Paige Wheaton, Sarah Whittle   +8 more
wiley   +1 more source

Texas Health and Human Services e-Health Advisory Committe Annual Report

, 2021
Annual report of the e-Health Advisory Committee (eHAC) for 2020 documenting meetings and attendance, actions and methods of the committee, summary of rule recommendations, plans for the next year, recommended amendments, and any costs related to the ...
Texas. e-Health Advisory Committee.
core  

Parenting Styles and Psychosocial Factors of Mother–Child Dyads Participating in the ENDORSE Digital Weight Management Program for Children and Adolescents during the COVID-19 Pandemic

Children
Childhood obesity is a complex disease with multiple biological and psychosocial risk factors. Recently, novel digital programs were developed with growing evidence for their effectiveness in pediatric weight management studies.
Evi Chatzidaki, Vassiliki Chioti, Lidia Mourtou, Georgia Papavasileiou, Rosa-Anna Kitani, Eleftherios Kalafatis, Kostas Mitsis, Maria Athanasiou, Konstantia Zarkogianni, Konstantina Nikita, Christina Kanaka-Gantenbein, Panagiota Pervanidou   +11 more
doaj   +1 more source

Mobile applications for anxiety and stress reduction: potential for preventing noncommunicable diseases

Российский кардиологический журнал, 2021
The article discusses using mobile applications for smartphones as tools to reduce anxiety and stress. The modern views on pathogenesis of the relationship between stress, anxiety disorders and cardiovascular disease are considered.
K. A. Zamyatin, D. I. Nozdrachev, M. N. Solovieva   +2 more
doaj   +1 more source