scholarly journals AI-driven Approach for Automatic Synthetic Patient Status Corpus Generation

Author(s):  
Boris Velichkov ◽  
Kristina Ivanova ◽  
Valeri Hristov ◽  
Ivan Borisov ◽  
Alexander Peychev ◽  
...  
1994 ◽  
Vol 33 (01) ◽  
pp. 60-63 ◽  
Author(s):  
E. J. Manders ◽  
D. P. Lindstrom ◽  
B. M. Dawant

Abstract:On-line intelligent monitoring, diagnosis, and control of dynamic systems such as patients in intensive care units necessitates the context-dependent acquisition, processing, analysis, and interpretation of large amounts of possibly noisy and incomplete data. The dynamic nature of the process also requires a continuous evaluation and adaptation of the monitoring strategy to respond to changes both in the monitored patient and in the monitoring equipment. Moreover, real-time constraints may imply data losses, the importance of which has to be minimized. This paper presents a computer architecture designed to accomplish these tasks. Its main components are a model and a data abstraction module. The model provides the system with a monitoring context related to the patient status. The data abstraction module relies on that information to adapt the monitoring strategy and provide the model with the necessary information. This paper focuses on the data abstraction module and its interaction with the model.


2021 ◽  
Vol 36 (1) ◽  
Author(s):  
Gabriel Alexander Quiñones-Ossa ◽  
Yeider A. Durango-Espinosa ◽  
Tariq Janjua ◽  
Luis Rafael Moscote-Salazar ◽  
Amit Agrawal

Abstract Background Disorder of consciousness diagnosis, especially when is classified as persistent vegetative state (without misestimating the other diagnosis classifications), in the intensive care is an important diagnosis to evaluate and treat. Persistent vegetative state diagnosis is a challenge in the daily clinical practice because the diagnosis is made mainly based upon the clinical history and the patient behavior observation. There are some specific criteria for this diagnosis, and this could be very tricky when the physician is not well trained. Main body We made a literature review regarding the persistent vegetative state diagnosis, clinical features, management, prognosis, and daily medical practice challenges while considering the bioethical issues and the family perspective about the patient status. The objective of this overview is to provide updated information regarding this clinical state’s features while considering the current medical literature available. Conclusions Regardless of the currently available guidelines and literature, there is still a lot of what we do not know about the persistent vegetative state. There is a lack of evidence regarding the optimal diagnosis and even more, about how to expect a natural history of this disorder of consciousness. It is important to recall that the patients (despite of their altered mental state diagnosis) should always be treated to avoid some of the intensive care unit long-stance complications.


Author(s):  
David E. Beck

AbstractThe traditional morbidity and mortality associated with traditional management has stimulated exploration of endoscopic approaches. Success depends on patient selection, the location and etiology of obstruction, patient status, and the capability of the endoscopist. This article discusses techniques of intralumenal dilation and stent placement and results from systematic reviews.


2021 ◽  
pp. 1-6
Author(s):  
Matt Landers ◽  
Suchi Saria ◽  
Alberto J. Espay

The use of artificial intelligence (AI) to help diagnose and manage disease is of increasing interest to researchers and clinicians. Volumes of health data are generated from smartphones and ubiquitous inexpensive sensors. By using these data, AI can offer otherwise unobtainable insights about disease burden and patient status in a free-living environment. Moreover, from clinical datasets AI can improve patient symptom monitoring and global epidemiologic efforts. While these applications are exciting, it is necessary to examine both the utility and limitations of these novel analytic methods. The most promising uses of AI remain aspirational. For example, defining the molecular subtypes of Parkinson’s disease will be assisted by future applications of AI to relevant datasets. This will allow clinicians to match patients to molecular therapies and will thus help launch precision medicine. Until AI proves its potential in pushing the frontier of precision medicine, its utility will primarily remain in individualized monitoring, complementing but not replacing movement disorders specialists.


Cephalalgia ◽  
2000 ◽  
Vol 20 (4) ◽  
pp. 244-251 ◽  
Author(s):  
K Hagen ◽  
J-A Zwart ◽  
L Vatten ◽  
LJ Stovner ◽  
G Bovim

We have assessed the validity and reliability of a self-administered headache questionnaire used in the 'Nord-Trøndelag Health Survey 1995-97 (HUNT)' in Norway, by blindly comparing questionnaire-based headache diagnoses with those made in a clinical interview of a sample of the participants. Restrictive questionnaire-based diagnostic criteria for migraine, assessed according to modified criteria of the International Headache Society, performed excellently in selecting 'definite' migraine patients (100% positive predictive value). The best agreement concerning migraine diagnoses was achieved by using a liberal set of criteria (k 0.59). Similar agreement was found evaluating patient status as headache sufferers, and as sufferers from frequent headaches (>6 days per month) (k 0.57 and 0.50, respectively). The k values of nonmigrainous headache and chronic headache (>14 days per month) were 0.43 and 0.44, respectively. The results suggest that our self-administered questionnaire may be suitable in identifying a population with 'definite' migraine, and the questionnaire is an acceptable instrument in determining the prevalence in Nord-Trøndelag of headache sufferers, migraine, non-migrainous headache, and frequent or chronic headache sufferers.


2010 ◽  
Vol 12 (12) ◽  
pp. 1363-1371 ◽  
Author(s):  
Angelo Auricchio ◽  
Josep Brugada ◽  
Kenneth A. Ellenbogen ◽  
Michael R. Gold ◽  
Francisco Leyva ◽  
...  

1991 ◽  
Vol 14 (2) ◽  
pp. 165-193 ◽  
Author(s):  
Stuart T. Hauser ◽  
John Houlihan ◽  
Sally I. Powers ◽  
Alan M. Jacobson ◽  
Gil G. Noam ◽  
...  

We describe a series of analyses that were carried out using the Constraining and Enabling Coding System (CECS). This scheme was specially constructed to identify family interactions conceptually relevant to adolescent ego development. We present results based on the application of these scales to observations of 80 families, consisting of two parents and an adolescent drawn from closely matched high school and psychiatric populations. The families are predominantly upper middle and middle class. Each family member completed the Loevinger Sentence Completion Test and then participated in a revealed-differences task, using responses to Kohlberg Moral Dilemmas as discussion stimuli. Transcripts of these audiorecorded discussions form the database for our family analyses. The family analyses were of two general types. First, we examined relations between family style and the ego development of each family member. The style analyses were based on aggregate scores for each of the enabling or constraining behaviours. After controlling for patient status, adolescent age, and family social class, adolescent and parent ego development scores contributed to explained variance in these family style behaviours. Parental style behaviours, especially of mothers, were also significantly associated with parent ego development as well as adolescent ego development. We then examined family sequences in terms of their links with adolescent ego development. Through these process-oriented analyses, we discovered that the intensity of turn taking and reciprocal enabling (mutual enabling) interactions between mothers and adolescents were significantly enhanced by the ego development of the mother. Such associations between reciprocal interactions and parental ego development were not present for mutual enabling pairings between fathers and adolescents. In our discussion we consider the importance of adding these sequence analyses to our studies, as one more way of exploring relations between family factors and adolescent development.


2022 ◽  
Vol 6 (GROUP) ◽  
pp. 1-14
Author(s):  
Angela Mastrianni ◽  
Lynn Almengor ◽  
Aleksandra Sarcevic

In this study, we explore how clinical decision support features can be designed to aid teams in caring for patients during time-critical medical emergencies. We interviewed 12 clinicians with experience in leading pediatric trauma resuscitations to elicit design requirements for decision support alerts and how these alerts should be designed for teams with shared leadership. Based on the interview data, we identified three types of decision support alerts: reminders to perform tasks, alerts to changes in patient status, and suggestions for interventions. We also found that clinicians perceived alerts in this setting as coordination mechanisms and that some alert preferences were associated with leader experience levels. From these findings, we contribute three perspectives on how alerts can aid coordination and discuss implications for designing decision support alerts for shared leadership in time-critical medical processes.


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