Results 31 to 40 of about 13,550,266 (248)
A Decision Support System Framework Based on Text Mining and Decision Fusion Techniques to Classify Breast Cancer Patients [PDF]
Control and Optimization in Applied Mathematics, 2021 Medical decision support systems (MDSS) are designed to assist physicians in making accurate decisions. The required data by MDSS are collected from various resources such as physical examinations and electronic health records (EHR).
Mostafa Boroumandzadeh +3 more
doaj +1 more source
Mobile phone apps for clinical decision support in pregnancy: a scoping review
BMC Medical Informatics and Decision Making, 2019 Background The use of digital technology in healthcare has been found to be useful for data collection, provision of health information and communications.
Jenny Carter +3 more
doaj +1 more source
An integrated decision support environment for organisational decision making [PDF]
, 2008 Traditional decision support systems are based on the paradigm of a single decision maker working at a stand-alone computer or terminal who has a specific decision to make with a specific goal in mind.
Whitfield, R.I. +6 more
core +3 more sources
Comparison of Predictive Models for the Early Diagnosis of Diabetes [PDF]
Healthcare Informatics Research, 2016 ObjectivesThis study develops neural network models to improve the prediction of diabetes using clinical and lifestyle characteristics. Prediction models were developed using a combination of approaches and concepts.MethodsWe used memetic algorithms to ...
Meysam Jahani, Mahdi Mahdavi
doaj +1 more source
The Accuracy of CPSS, LAPSS and MASS in Terms of Early Acute Ischemic Stroke Diagnosis
Eurasian Journal of Emergency Medicine, 2022 Aim:This study aimed to investigate the diagnostic accuracy of the Cincinnati Prehospital Stroke Scale (CPSS), Los Angeles Prehospital Stroke Screen (LAPSS), and Melbourne Ambulance Stroke Scale (MASS) in detecting acute ischemic stroke (AIS) in ...
Arezu Pourahmad +5 more
doaj +1 more source
Balanced sensitivity functions for tuning multi-dimensional Bayesian network classifiers [PDF]
, 2017 Multi-dimensional Bayesian network classifiers are Bayesian networks of restricted topological structure, which are tailored to classifying data instances into multiple dimensions.
Bolt, J.H. +4 more
core +2 more sources
BMC Medical Informatics and Decision Making, 2021 Background Understanding prognostic information can help patients know what may happen to their health over time and make informed decisions. However, communicating prognostic information well can be challenging. Purpose To conduct a systematic review to
Eman Abukmail +3 more
doaj +1 more source
A Decision Support System for Water Optimization in Anti-Frost Techniques by Sprinklers
Sensors, 2020 Precision agriculture is a growing sector that improves traditional agricultural processes through the use of new technologies. In southeast Spain, farmers are continuously fighting against harsh conditions caused by the effects of climate change.
Miguel A. Guillén-Navarro +5 more
doaj +1 more source
Clinical reasoning in medicine I: A historical journey
Iatreia, 2021 Medical error is a public health problem, that may be related to failures in a doctor’s decision-making about a patient’s diagnosis, treatment, or prognosis, that is, in medical reasoning.
Zapata Ospina, Juan Pablo +1 more
doaj +1 more source
, 2019 Pòster de congrés presentat a: ICT 2018: Imagine Digital - Connect Europe (4-6 Desembre: Viena, Austria)PEPPER (Patient Empowerment through Predictive PERsonalised decision support) is a research and innovation project to develop a personalised ...
Imperial college London +4 more
core +1 more source