Wyniki wyszukiwania - Biblioteka Nauki

1

A modern technologies in medical expert systems

100%

Kącki E. , Małolepszy A. , Stempczyńska J.

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2001

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tom Vol. 9, nr 1

23-32

EN

The paper presents organization and performance of the module structure expert system for medicine and discussion on certain information technology problems connected with building and exploitation of the system. The considered problems mainly deal with knowledge acquisition automation and hypermedia applications for well communication. After discussion some remarks on conception of knowledge acquisition and dialog organization as well as some conclutions relative to their implementability and utilizability are also given.

2

Multimedia elements in the PHARMACY2 system

100%

Stempczyńska J. , Kącki E. , Misiak M.

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tom Vol. 7, nr 1

55-62

EN

The paper describes the PHARMACY2 system being a modification of PHARMACY1 worked out earlier by the authors and implemented at the Chemotherapy Clinic of the Medical University of Łódź. The main change lies in the introduction of multimedia to the system, which improves communication capabilities of the system and enables better assistance of medical education. In the system a special emphasis is put on cytostatic drugs.

3

Object and component oriented modelling of complex medical systems

84%

Filutowicz J. , Filutowicz Z. , Szczepaniak P. , Kmiecik A.

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tom Vol. 7, nr 1

91-98

EN

The paper describes modelling of a complex information system supporting the work of a dialysis ward and scientific research carried out there. The system is designed to process multimedia information on patients, health care staff, and management of medical material and equipment. This information proves very useful for scientific research and supports physicians in taking decisions concerning extracorporeal dialysis equipment control. The decision-taking system together with optimal control algorithms are used to assess adequacy of dialyses, which results in higher efficiency of dialyses and improvement of life quality of dialysed patients. The new generation of information systems needs making use of scattered multimedia information, algorithms of computer intelligence and user-friendly communication. To meet these requirements it becomes necessary to apply environments enabling modelling of customer's requirements, information system structure and computer-man communication interface. The technology of component and object oriented modelling allows multiple code usage, and ensures higher reliability and easier modification of the system.

4

The teaching of medical informatics to medical students including a retrospective evaluation

84%

Lane V. , Whitehead S.

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tom Vol. 3

MI109--117

EN

It is commonly suggested that (i) Information and Communication Technology (ICT) is essential for the delivery of quality healthcare [17], and (ii) the role of doctors is crucial in the implementation of ICT-based systems in hospitals and in general practice. Based on these two premises, this paper argues for a medical informatics course for medical students. The paper outlines the content of a one-semester elective in medical informatics that was presented over eight academic years. The course pre-dates the recommendations of the International Medical Informatics Association, IMIA [7]. Nevertheless, it is compatible with the recommendations of IMIA and also with the earlier findings of the EDUCTRA study [5]. The principles formulated in this paper are presented in order to help other educationalists (i) to obtain insights and (ii) thence to assist them to engineer medical informatics changes into their medical school environments. Each time that the course was presented, participants were asked for their evaluation of the course [9]. These views were favourable. It was thought that a follow-up survey of these same respondents - now practising doctors, some of whom took the course 10 years ago - might give further insights into the relevance and value of this course. The views of these practising doctors are presented within the paper.

5

Cardiac arrhythmia alarm from optical interferometric signals during resting or sleeping for early intervention

67%

Cikajlo I. , Šprager S. , Erjavec T. , Zazula D.

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tom Vol. 36, no. 1

267--275

EN

Diagnostics of cardiac arrhythmias and frequent interventions may contribute to early detection of diseases or even prevent sudden death. Generally electrocardiograph with several on body electrodes at outpatient clinic is applied and the procedure requires a medical expert. We propose cardiac arrhythmia estimation on the basis of heartbeat detection with optical fibers integrated in the bedding. The modified Michelson's interferometer with error detection was used to measure and maximum a-posteriori probability was used to estimate the beat-to-beat intervals. The consistency of heartbeat intervals was examined with simultaneous measurement with clinical electrocardiograph in 10 healthy volunteers and 10 patients with diagnosed heart arrhythmias. Heart beat interval data obtained in patients were examined and irregularities/arrhythmias were identified from the medical guidelines. The current system enables assessment also in home environment without any on-body sensor placement or required assistance. Thus early intervention is possible as the irregularities are submitted to the nurse on duty and stored in the database for subsequent more detailed analysis.

6

Predicting blood glucose using an LSTM neural network

59%

El Idrissi T. , Idri A. , Abnane I. , Bakkoury Z.

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2019

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tom Vol. 18

35--41

EN

Diabetes self-management relies on the blood glucose prediction as it allows taking suitable actions to prevent low or high blood glucose level. In this paper, we propose a deep learning neural network model for blood glucose prediction. The model is a sequential one using a Long- Short-Term Memory (LSTM) layer with two fully connected layers. Several experiments were carried out over data of 10 diabetic patients to decide on the model's parameters in order to identify the best variant of the model. The performance of the proposed model measured in terms of root mean square error (RMSE) was compared with the ones of an existing LSTM model and an autoregressive (AR) model. The results show that our model is significantly more accurate; in fact, our LSTM model outperforms the existing LSTM model for all patients and outperforms the AR model in 9 over 10 patients, besides, the performance differences were assessed by thWilcoxon statistical test. Furthermore, the mean of the RMSE of our model was 12.38 mg/dl while it was 28.84 mg/dl and 50.69 mg/dl for AR and the existing LSTM respectively.