scholarly journals Channels’ Confirmation and Predictions’ Confirmation: From the Medical Test to the Raven Paradox

Entropy ◽  
2020 ◽  
Vol 22 (4) ◽  
pp. 384 ◽  
Author(s):  
Chenguang Lu
Keyword(s):  
Semantic Information ◽  
Logical Probability ◽  
Medical Test ◽  
Confirmation Measure ◽  
Confirmation Measures ◽  
Equivalence Condition ◽  
Raven Paradox ◽  
Semantic Information Theory ◽  
Novel Coronavirus

After long arguments between positivism and falsificationism, the verification of universal hypotheses was replaced with the confirmation of uncertain major premises. Unfortunately, Hemple proposed the Raven Paradox. Then, Carnap used the increment of logical probability as the confirmation measure. So far, many confirmation measures have been proposed. Measure F proposed by Kemeny and Oppenheim among them possesses symmetries and asymmetries proposed by Elles and Fitelson, monotonicity proposed by Greco et al., and normalizing property suggested by many researchers. Based on the semantic information theory, a measure b* similar to F is derived from the medical test. Like the likelihood ratio, measures b* and F can only indicate the quality of channels or the testing means instead of the quality of probability predictions. Furthermore, it is still not easy to use b*, F, or another measure to clarify the Raven Paradox. For this reason, measure c* similar to the correct rate is derived. Measure c* supports the Nicod Criterion and undermines the Equivalence Condition, and hence, can be used to eliminate the Raven Paradox. An example indicates that measures F and b* are helpful for diagnosing the infection of Novel Coronavirus, whereas most popular confirmation measures are not. Another example reveals that all popular confirmation measures cannot be used to explain that a black raven can confirm “Ravens are black” more strongly than a piece of chalk. Measures F, b*, and c* indicate that the existence of fewer counterexamples is more important than more positive examples’ existence, and hence, are compatible with Popper’s falsification thought.

scholarly journals The P–T Probability Framework for Semantic Communication, Falsification, Confirmation, and Bayesian Reasoning

Philosophies ◽  
2020 ◽  
Vol 5 (4) ◽  
pp. 25
Author(s):  
Chenguang Lu
Keyword(s):  
Statistical Learning ◽  
Semantic Information ◽  
Likelihood Function ◽  
Probabilistic Logic ◽  
Bayesian Reasoning ◽  
Logical Probability ◽  
Statistical Probability ◽  
Truth Function ◽  
Semantic Communication ◽  
Semantic Information Theory

Many researchers want to unify probability and logic by defining logical probability or probabilistic logic reasonably. This paper tries to unify statistics and logic so that we can use both statistical probability and logical probability at the same time. For this purpose, this paper proposes the P–T probability framework, which is assembled with Shannon’s statistical probability framework for communication, Kolmogorov’s probability axioms for logical probability, and Zadeh’s membership functions used as truth functions. Two kinds of probabilities are connected by an extended Bayes’ theorem, with which we can convert a likelihood function and a truth function from one to another. Hence, we can train truth functions (in logic) by sampling distributions (in statistics). This probability framework was developed in the author’s long-term studies on semantic information, statistical learning, and color vision. This paper first proposes the P–T probability framework and explains different probabilities in it by its applications to semantic information theory. Then, this framework and the semantic information methods are applied to statistical learning, statistical mechanics, hypothesis evaluation (including falsification), confirmation, and Bayesian reasoning. Theoretical applications illustrate the reasonability and practicability of this framework. This framework is helpful for interpretable AI. To interpret neural networks, we need further study.

Telehealth During COVID-19 for Remote Vision Rehabilitation of a Patient with mTBI

2020 ◽  
pp. 191-198
Keyword(s):  
Veterans Health ◽  
Health Administration ◽  
Web Based ◽  
Home Setting ◽  
Therapeutic Goals ◽  
Vision Rehabilitation ◽  
Novel Coronavirus ◽  
Performance Challenges ◽  
Perception Of Performance

Background: Binocular and accommodative vision problems are common after mild traumatic brain injury (mTBI). Traditionally, the management of visual dysfunctions following mTBI included in-office vision rehabilitation with a trained eye care provider. The concept of providing telehealth for remote vision rehabilitation in mTBI patients is a relatively novel practice that has not been widely utilized until the recent outbreak of the 2019 novel coronavirus (COVID-19) pandemic. Case Report: We describe the implementation of telehealth for remote vision rehabilitation during COVID-19 within the Veterans’ Health Administration (VHA) system in an adult patient with multiple confirmed histories of mTBI. Conclusion: Our telehealth remote vision rehabilitation was successfully implemented utilizing established VHA’s web-based videoconferencing tools. Therapeutic goals identified prior to COVID 19 were addressed without any challenges. The delivery of vision rehabilitation intervention via telehealth allowed for the continuance of services within the home setting that led to improvements in functional vision, decreased perception of performance challenges, and improved quality of life.

scholarly journals Pediatric Endocrinology in the Time of COVID-19: Considerations for the Rapid Implementation of Telemedicine and Management of Pediatric Endocrine Conditions

2020 ◽  
Vol 93 (6) ◽  
pp. 343-350
Author(s):  
Molly O. Regelmann ◽  
Rushika Conroy ◽  
Evgenia Gourgari ◽  
Anshu Gupta ◽  
Ines Guttmann-Bauman ◽  
...  
Keyword(s):  
Patient Care ◽  
Care Patient ◽  
The Novel ◽  
Patient Privacy ◽  
Pediatric Endocrinology ◽  
Quality Of Patient Care ◽  
Care Outcomes ◽  
Novel Coronavirus ◽  
The Impact

<b><i>Background:</i></b> Pediatric endocrine practices had to rapidly transition to telemedicine care at the onset of the novel coronavirus disease 2019 (COVID-19) pandemic. For many, it was an abrupt introduction to providing virtual healthcare, with concerns related to quality of patient care, patient privacy, productivity, and compensation, as workflows had to change. <b><i>Summary:</i></b> The review summarizes the common adaptations for telemedicine during the pandemic with respect to the practice of pediatric endocrinology and discusses the benefits and potential barriers to telemedicine. <b><i>Key Messages:</i></b> With adjustments to practice, telemedicine has allowed providers to deliver care to their patients during the COVID-19 pandemic. The broader implementation of telemedicine in pediatric endocrinology practice has the potential for expanding patient access. Research assessing the impact of telemedicine on patient care outcomes in those with pediatric endocrinology conditions will be necessary to justify its continued use beyond the COVID-19 pandemic.

scholarly journals Impact of COVID-19 on healthcare workers at a cancer care centre

2021 ◽  
Author(s):  
Atika Dogra ◽  
Anuj Parkash ◽  
Anurag Mehta ◽  
Meenu Bhatia
Keyword(s):  
Health Care ◽  
Health Care Professionals ◽  
Front Line ◽  
Care Workers ◽  
Front Line Workers ◽  
Severity Of The Disease ◽  
Novel Coronavirus ◽  
Spread Of Infection ◽  
The Impact

ABSTRACTBackgroundThe services of front-line health care workers (HCWs) have been paramount in the management of novel coronavirus disease 2019 (COVID-19). Health care professionals have been at high occupational risk of getting disease and even dying of the disease, however; they have been the subject of very limited studies in terms of COVID-19. The objectives of this study are to examine the incidence and the impact of COVID-19 infection among HCWs in terms of recovery, productivity, quality of life (QOL) and post-COVID complications.Materials and MethodsThis was a retrospective, questionnaire based study including demographic details, workplace characteristics, symptoms, source/ spread of infection, details of recovery and the consequences of COVID-19 comprising impaired productivity/ QOL, post-COVID-19 complications and others. The data were analyzed by using IBM SPSS software (Version 23, SPSS Inc., Chicago, IL, USA).Results and ConclusionsOut of a total of 1482 employees, 18.3% (271) were laboratory confirmed to have contracted novel contagion during the study period of 5 months. The median age at diagnosis was 29 (range, 21-62) years. Front-line workers and female workers were the most infected personnel with COVID-19. Flu-like symptoms were the most frequently experienced symptoms. The median time for recovery was 20 (range, 2-150) days. The relationship between pre-existing comorbidities and age was highly significant. The QOL and productivity were associated with pre-existing comorbidities, severity of the disease, time for recovery and post-COVID syndrome. More than a half (51.8%) of all HCWs had suffered from post-COVID complications. There was no fatality reported due to COVID-19. The post-COVID complications were related to pre-existing comorbidities, severity of disease, time for recovery and status of recovery. Further research to explore the consequences of COVID-19 is warranted. The general public needs to be aware of symptoms and management of the post-COVID syndrome.

Work of the clinical expert department of the ophthalmosurgical clinic in the context of a pandemic of the novel coronavirus disease

2021 ◽  
pp. 9-14
Author(s):  
O.B. Baleva ◽  
◽  
N.V. Savchenko ◽  
V.V. Egorov ◽  
◽  
...  
Keyword(s):  
Social Distance ◽  
State Institution ◽  
Insurance Companies ◽  
Medical Documentation ◽  
Federal State ◽  
The Novel ◽  
Coronavirus Infection ◽  
Novel Coronavirus ◽  
Clinical Expert

Changes in work of the clinical expert department of the Khabarovsk branch of the S. Fyodorov Eye Microsurgery Federal State Institution (the Khabarovsk branch) in the context of a pandemic of the novel coronavirus disease were analyzed in the article. The difficulties that have appeared in all sections of the work performed are described, both medical and expert: the time for checking the quality of filling out medical documentation has increased due to the identification of a larger number of defects; the time for medical control and discharge of patients from the hospital has increased due to the impossibility of accumulating patients in one place and the need to maintain social distance; difficulties arose in working with experts from insurance companies due to the lack of direct communication (medical records are checked outside the Khabarovsk branch). The concern of people about the possibility of carrying out surgical treatment in conditions of coronavirus infection was expressed in an increase in the information load of the «Question - Answer» section on the website of the Khabarovsk branch and, accordingly, on the doctors in the clinical expert department working with it. Key words: pandemic, COVID-19, SARSCoV-2, anti-epidemic measures, personal protective equipment, social distance, treatment control, medical documentation, medical and economic expertise.

Persistent symptoms and quality of life after novel coronavirus infection (COVID-19)

2021 ◽  
Author(s):  
Natalya Lyubavina ◽  
Marina Milyutina ◽  
Ekaterina Makarova ◽  
Elena Galova ◽  
Ekaterina Nekaeva ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Persistent Symptoms ◽  
Coronavirus Infection ◽  
Novel Coronavirus

scholarly journals Phonetics and Ambiguity Comprehension Gated Attention Network for Humor Recognition

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-9 ◽  
Author(s):  
Xiaochao Fan ◽  
Hongfei Lin ◽  
Liang Yang ◽  
Yufeng Diao ◽  
Chen Shen ◽  
...  
Keyword(s):  
Neural Network ◽  
Semantic Information ◽  
Semantic Representation ◽  
Research Attention ◽  
Attention Network ◽  
Phonetic Information ◽  
The Neural Network ◽  
Ambiguous Words ◽  
Public Datasets

Humor refers to the quality of being amusing. With the development of artificial intelligence, humor recognition is attracting a lot of research attention. Although phonetics and ambiguity have been introduced by previous studies, existing recognition methods still lack suitable feature design for neural networks. In this paper, we illustrate that phonetics structure and ambiguity associated with confusing words need to be learned for their own representations via the neural network. Then, we propose the Phonetics and Ambiguity Comprehension Gated Attention network (PACGA) to learn phonetic structures and semantic representation for humor recognition. The PACGA model can well represent phonetic information and semantic information with ambiguous words, which is of great benefit to humor recognition. Experimental results on two public datasets demonstrate the effectiveness of our model.

Development of Rapid Advice Guidelines for the Treatment of Coronavirus Disease 2019 with Traditional Chinese Medicine

2020 ◽  
Vol 48 (07) ◽  
pp. 1511-1521
Author(s):  
Ning Liang ◽  
Huizhen Li ◽  
Jingya Wang ◽  
Liwen Jiao ◽  
Yanfang Ma ◽  
...  
Keyword(s):  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Observational Studies ◽  
The Body ◽  
Assessment Development ◽  
Evidence Collection ◽  
Novel Coronavirus ◽  
Grade Methodology ◽  
Evidence Based Guidelines

The worldwide spread of the 2019 novel coronavirus has become a profound threat to human health. As the use of medication without established effectiveness may result in adverse health consequences, the development of evidence-based guidelines is of critical importance for the clinical management of coronavirus disease (COVID-19). This research presents methods used to develop rapid advice guidelines on treating COVID-19 with traditional Chinese medicine (TCM). We have followed the basic approach for developing WHO rapid guidelines, including preparing, developing, disseminating and updating each process. Compared with general guidelines, this rapid advice guideline is unique in formulating the body of evidence, as the available evidence for the treatment of COVID-19 with TCM is from either indirect or observational studies, clinical first-hand data together with expert experience in patients with COVID-19. Therefore, our search of evidence not only focuses on clinical studies of treating COVID-19 with TCM but also of similar diseases, such as pneumonia and influenza. Grading of recommendations assessment, development and evaluation (GRADE) methodology was adopted to rate the quality of evidence and distinguish the strength of recommendations. The overall certainty of the evidence is graded as either high, moderate, low or very low, and to give either “strong” or “weak” recommendations of each TCM therapy. The output of this paper will produce the guideline on TCM for COVID-19 and will also provide some ideas for evidence collection and synthesis in the future development of rapid guidelines for COVID-19 in TCM as well as other areas.

scholarly journals LINKING THE EVIDENCE: INTERMEDIATE OUTCOMES IN MEDICAL TEST ASSESSMENTS

2012 ◽  
Vol 28 (1) ◽  
pp. 52-58 ◽  
Author(s):  
Lukas P. Staub ◽  
Suzanne Dyer ◽  
Sarah J. Lord ◽  
R. John Simes
Keyword(s):  
Health Outcomes ◽  
Web Sites ◽  
English Language ◽  
Health Technology ◽  
Disease Classification ◽  
Test Results ◽  
Medical Test ◽  
Intermediate Outcomes ◽  
The Impact

Objectives: The aim of this study is to review how health technology assessments (HTA) of medical tests incorporate intermediate outcomes in conclusions about the effectiveness of tests on improving health outcomes.Methods: Systematic review of English-language test assessments in the HTA database from January 2005 to February 2010, supplemented by a search of the Web sites of International Network of Agencies for Health Technology Assessment (INAHTA) members.Results: A total of 149 HTAs from eight countries were assessed. Half evaluated tests for screening or diagnosis, a third for disease classification (including staging, prognosis, monitoring), and a fifth for multiple purposes. In seventy-one HTAs (48 percent) only diagnostic accuracy was reported, while in seventeen (11 percent) evidence of health outcomes was reported in addition to accuracy. Intermediate outcomes, mainly the impact of test results on patient management, were considered in sixty-one HTAs (41 percent). Of these, forty-seven identified randomized trials or observational studies reporting intermediate outcomes. The validity of these intermediate outcomes as a surrogate for health outcomes was not consistently discussed; nor was the quality appraisal of this evidence. Clear conclusions about whether the test was effective were included in approximately 60 percent of HTAs.Conclusions: Intermediate outcomes are frequently assessed in medical test HTAs, but interpretation of this evidence is inconsistently reported. We recommend that reviewers explain the rationale for using intermediate outcomes, identify the assumptions required to link intermediate outcomes and patient benefits and harms, and assess the quality of included studies.

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