Results 31 to 40 of about 1,364,010 (324)

Development of a clinical decision support system for severity risk prediction and triage of COVID-19 patients at hospital admission: an international multicentre study

European Respiratory Journal, 2020
Background The outbreak of coronavirus disease 2019 (COVID-19) has globally strained medical resources and caused significant mortality. Objective To develop and validate a machine-learning model based on clinical features for severity risk assessment ...
Guangyao Wu, Pei Yang, Yuanliang Xie, H. Woodruff, X. Rao, J. Guiot, A. Frix, R. Louis, M. Moutschen, Jiawei Li, Jing Li, Chenggong Yan, D. Du, Shengchao Zhao, Yi Ding, Bin Liu, Wenwu Sun, F. Albarello, A. D’Abramo, V. Schininà, E. Nicastri, M. Occhipinti, G. Barisione, E. Barisione, I. Halilaj, P. Lovinfosse, Xiang Wang, Jianlin Wu, P. Lambin   +28 more
semanticscholar   +1 more source

Comparison of an oncology clinical decision-support system’s recommendations with actual treatment decisions

J. Am. Medical Informatics Assoc., 2021
Objective IBM(R) Watson for Oncology (WfO) is a clinical decision-support system (CDSS) that provides evidence-informed therapeutic options to cancer-treating clinicians.
S. Suwanvecho, H. Suwanrusme, T. Jirakulaporn, S. Issarachai, N. Taechakraichana, P. Lungchukiet, W. Decha, Wisanu Boonpakdee, Nittaya Thanakarn, Pattanawadee Wongrattananon, A. Preininger, Metasebya Solomon, Suwei Wang, Rezzan Hekmat, I. Dankwa-Mullan, E. Shortliffe, V. Patel, Y. Arriaga, G. Jackson, N. Kiatikajornthada   +19 more
semanticscholar   +1 more source

An online infertility clinical decision support system

Asian Pacific Journal of Reproduction, 2017
Objective: To explore some possibilities of computer applications in medicine, and to discuss an online infertility clinical decision support system.Methods: Retrospective data were obtained from 52 couples, and then entered into the online tool.
Fabio Diniz de Souza
doaj   +1 more source

Towards an explainable clinical decision support system for large-for-gestational-age births.

PLoS ONE, 2023
A myriad of maternal and neonatal complications can result from delivery of a large-for-gestational-age (LGA) infant. LGA birth rates have increased in many countries since the late 20th century, partially due to a rise in maternal body mass index, which
Yuhan Du, Anthony R Rafferty, Fionnuala M McAuliffe, John Mehegan, Catherine Mooney   +4 more
doaj   +2 more sources

A machine learning–based clinical decision support system to identify prescriptions with a high risk of medication error

J. Am. Medical Informatics Assoc., 2020
Objective To improve patient safety and clinical outcomes by reducing the risk of prescribing errors, we tested the accuracy of a hybrid clinical decision support system in prioritizing prescription checks.
J. Corny, Asok Rajkumar, Olivier Martin, X. Dode, J. Lajonchère, O. Billuart, Y. Bézie, A. Buronfosse   +7 more
semanticscholar   +1 more source

CDSS-RM: a clinical decision support system reference model

BMC Medical Research Methodology, 2018
Clinical Decision Support Systems (CDSS) provide aid in clinical decision making and therefore need to take into consideration human, data interactions, and cognitive functions of clinical decision makers.
Dimitrios Zikos, Nailya DeLellis
doaj   +1 more source

Clinical decision support system for venous thromboembolism risk classification

Applied 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, Mohammad Alshraideh, Nada Almasri, Luay Tahat, Abdullah Awidi   +4 more
doaj   +1 more source

The effects of clinical decision support system for prescribing medication on patient outcomes and physician practice performance: a systematic review and meta-analysis

BMC Medical Informatics and Decision Making, 2020
Background Clinical Decision Support Systems (CDSSs) for Prescribing are one of the innovations designed to improve physician practice performance and patient outcomes by reducing prescription errors.
Sharare Taheri Moghadam, F sadoughi, Farnia Velayati, S. J. Ehsanzadeh, Shayan Poursharif   +4 more
semanticscholar   +1 more source

Clinical Decision Support Systems

International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 2019
Nowadays, every field is digitizing their data for easy access at anytime and anywhere or even for enclosed cabinet servers, especially the health care sector. But, that is not the only reason health care sector is computerizing its data. These huge chucks of records are used for research purposes.
Pratibha Tiwari, Nishant Shah, Evanglelin Samuel, Poojan Shah, Yask Patel, Pratibha Tiwari   +5 more
openaire   +1 more source

Effectiveness of a clinical decision support system for hypertension management in primary care: study protocol for a pragmatic cluster-randomized controlled trial

Trials, 2022
Background Clinical decision support systems (CDSS) are low-cost, scalable tools with the potential to improve guideline-based antihypertensive treatment in primary care, but their effectiveness needs to be tested, especially in low- and middle-income ...
Jiali Song, Xiuling Wang, Bin Wang, Yan Gao, Jiamin Liu, Haibo Zhang, Xi Li, Jing Li, Ji-Guang Wang, Jun Cai, Jeph Herrin, Jane Armitage, Harlan M. Krumholz, Xin Zheng, on behalf of the LIGHT Collaborative Group   +14 more
doaj   +1 more source