Results 21 to 30 of about 931,164 (251)

Clinical decision support system for venous thromboembolism risk classification

open access: yesApplied Computing and Informatics, 2019
This paper presents a clinical decision support system using Artificial Neural Networks (ANN). The system uses Multilayer Perceptron (MLP) feed forward neural network to predict the risk of developing Venous Thromboembolism (VTE) in hospitalized patients.
Zelal Qatawneh   +4 more
doaj   +1 more source

Artificial Intelligence-Driven Oncology Clinical Decision Support System for Multidisciplinary Teams

open access: yesSensors, 2020
Watson for Oncology (WfO) is a clinical decision support system driven by artificial intelligence. In Korea, WfO is used by multidisciplinary teams (MDTs) caring for cancer patients.
Kyounga Lee, Seon Heui Lee
doaj   +1 more source

Ontologies Applied in Clinical Decision Support System Rules: Systematic Review

open access: yesJMIR Medical Informatics, 2023
BackgroundClinical decision support systems (CDSSs) are important for the quality and safety of health care delivery.
Xia Jing   +10 more
doaj   +1 more source

Analysis of clinical decision support system types in outpatient facilities

open access: yesАктуальные проблемы теоретической и клинической медицины, 2023
Clinical Decision Support Systems (CDSS) play a crucial role in improving patient care by providing healthcare providers with valuable information and decision support tools [1].This research review aims to examine and evaluate the effectiveness and ...
I. Poluboiartsev, N. Jainakbayev
doaj   +1 more source

The Effects of Implementing Clinical Decision Support Systems on the Diagnosis, Treatment and Management of Cancers: A Systematic Review

open access: yesپیاورد سلامت, 2022
Background and Aim: Cancer is the second leading cause of death in the world, which leads to the death of more than 10 million people in the world every year.
saman Mohammadpour   +5 more
doaj  

Decision Support System for Medical Diagnosis Utilizing Imbalanced Clinical Data

open access: yesApplied Sciences, 2018
The clinical decision support system provides an automatic diagnosis of human diseases using machine learning techniques to analyze features of patients and classify patients according to different diseases.
Huirui Han   +3 more
doaj   +1 more source

European Standard Clinical Practice Guideline and EXPeRT Recommendations for the Diagnosis and Management of Gastroenteropancreatic Neuroendocrine Neoplasms in Children and Adolescents

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Pediatric gastroenteropancreatic neuroendocrine neoplasms (GEP‐NENs) are extremely rare and clinically heterogeneous. Management has largely been extrapolated from adult practice. This European Standard Clinical Practice Guideline (ESCP), developed by the EXPeRT network in collaboration with adult NEN experts, provides (adult) evidence ...
Michaela Kuhlen   +23 more
wiley   +1 more source

Health‐Related Social Needs in Children With Sickle Cell Disease Are Associated With Worse Health‐Related Quality of Life

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Children with sickle cell disease (SCD) face multiple acute and chronic medical complications that may impact their quality of life as reported by patients themselves. Health‐related social needs (HRSNs), such as food and housing insecurity, are common in people with SCD, but the association between HRSNs and patient‐reported ...
Sarah J. Marks   +5 more
wiley   +1 more source

Central Nervous System Neuroblastoma, FOXR2‐Activated: A Pooled Analysis of Published Clinical Outcomes

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Central nervous system (CNS) neuroblastoma, FOXR2‐activated, is a recently recognized entity in the WHO CNS5 classification, defined by activation of the FOXR2 transcription factor and unique histopathological features. This review synthesizes available literature and pooled clinical data, providing insight into demographics ...
Sudarshawn Damodharan   +1 more
wiley   +1 more source

Identifying Breast Cancer Recurrence in Administrative Data: Algorithm Development and Validation

open access: yesCurrent Oncology, 2022
Breast cancer recurrence is an important outcome for patients and healthcare systems, but it is not routinely reported in cancer registries. We developed an algorithm to identify patients who experienced recurrence or a second case of primary breast ...
Claire M. B. Holloway   +8 more
doaj   +1 more source

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