Patients' gut feelings seem useful in primary care professionals' decision making.

Background: Family physicians' diagnostic gut feelings have proved to be valuable. But what about patients' gut feelings? Research has shown that patients' gut feelings may contribute to their physicians' clinical reasoning. Dutch medical tribunals consider patients' worry useful for doctors' diagnostic process.

[General practitioners' recognition and management of child abuse: what is going well and what could be improved?].

In the Netherlands, child abuse affects about 100.000 children resulting in at least 17 child fatalities a year. General practitioners' (GPs) health care position is of vital importance for recognising and managing child abuse.

[Diagnostic reasoning in patients with multimorbidity].

Many diseases in patients with multimorbidity show interactions, which can be divided in random, causal, complicated of synergistic interactions. Diagnostic reasoning in general should be expanded with a goal assessment when single disease directed guidelines are not applicable to limit diagnostic burden and troubling incidental findings without added diagnostic value. Disease directed diagnostic guidelines are not well adapted to symptoms and complaints of patients with multimorbidity, which urges to first explain these based on progression of the multimorbidity, and only if necessary, expand this to diagnostic work-up for new diseases.

Blending Machine Learning and Interaction Design in Audio Explorer.

The results of machine learning models can often be difficult to interpret, especially for domain experts. Audio Explorer, the winning entry of the 2018 VAST Challenge, is an interactive data exploration tool that effectively communicates machine learning results using coordinated geospatial, temporal, and auditory visualizations to promote information discovery.

[Gut feelings in the diagnostic reasoning process; the role of uncertainty].

What role does uncertainty play in the doctor's diagnostic reasoning process? Would it not be better to avoid uncertainty as much as possible? In this article we answer this question from an epistemological perspective. Doctors build up relevant, situational knowledge during the diagnostic process through listening, observation and interpretation during their contact with the patient. Uncertainty can play a crucial role in this.

COGITA network has constructed a glossary of diagnostic reasoning terms.

The role of gut feelings in diagnostic reasoning is recognized by most GPs throughout Europe, and probably throughout the world. Studies on this topic have emerged from different countries but there is the risk that authors will use different terms for similar concepts. The European Expert Group on Cognitive and Interactive Processes in Diagnosis and Management in General Practice, COGITA for short, was founded in 2008 to conduct cross-border research in the area of non-analytical diagnostic reasoning.

Vispubdata.org: A Metadata Collection About IEEE Visualization (VIS) Publications.

We have created and made available to all a dataset with information about every paper that has appeared at the IEEE Visualization (VIS) set of conferences: InfoVis, SciVis, VAST, and Vis. The information about each paper includes its title, abstract, authors, and citations to other papers in the conference series, among many other attributes. This article describes the motivation for creating the dataset, as well as our process of coalescing and cleaning the data, and a set of three visualizations we created to facilitate exploration of the data.

GLO-STIX: Graph-Level Operations for Specifying Techniques and Interactive eXploration.

The field of graph visualization has produced a wealth of visualization techniques for accomplishing a variety of analysis tasks. Therefore analysts often rely on a suite of different techniques, and visual graph analysis application builders strive to provide this breadth of techniques. To provide a holistic model for specifying network visualization techniques (as opposed to considering each technique in isolation) we present the Graph-Level Operations (GLO) model.

Progressive Visual Analytics: User-Driven Visual Exploration of In-Progress Analytics.

As datasets grow and analytic algorithms become more complex, the typical workflow of analysts launching an analytic, waiting for it to complete, inspecting the results, and then re-Iaunching the computation with adjusted parameters is not realistic for many real-world tasks. This paper presents an alternative workflow, progressive visual analytics, which enables an analyst to inspect partial results of an algorithm as they become available and interact with the algorithm to prioritize subspaces of interest. Progressive visual analytics depends on adapting analytical algorithms to produce meaningful partial results and enable analyst intervention without sacrificing computational speed.

GLO-STIX: Graph-Level Operations for Specifying Techniques and Interactive eXploration.

The field of graph visualization has produced a wealth of visualization techniques for accomplishing a variety of analysis tasks. Therefore analysts often rely on a suite of different techniques, and visual graph analysis application builders strive to provide this breadth of techniques. To provide a holistic model for specifying network visualization techniques (as opposed to considering each technique in isolation) we present the () model.

How do gut feelings feature in tutorial dialogues on diagnostic reasoning in GP traineeship?

Diagnostic reasoning is considered to be based on the interaction between analytical and non-analytical cognitive processes. Gut feelings, a specific form of non-analytical reasoning, play a substantial role in diagnostic reasoning by general practitioners (GPs) and may activate analytical reasoning. In GP traineeships in the Netherlands, trainees mostly see patients alone but regularly consult with their supervisors to discuss patients and problems, receive feedback, and improve their competencies.

[Are postgraduate courses for GPs relevant to diagnostics?].

Correctly predicting the course of a patient's pattern of symptoms, even if no diagnosis has (yet) been established, is a core task of the general practitioner (GP). This is a complex task requiring extensive knowledge and experience, as the presentation of diseases in primary care regularly deviates from what doctors learn at medical school. In addition, knowledge among GPs about clinical pictures requiring immediate action is not always sufficient.

Family physicians' diagnostic gut feelings are measurable: construct validation of a questionnaire.

Background: Family physicians perceive that gut feelings, i.e. a 'sense of reassurance' or a 'sense of alarm', play a substantial role in diagnostic reasoning.

SnapShot: Visualization to Propel Ice Hockey Analytics.

Sports analysts live in a world of dynamic games flattened into tables of numbers, divorced from the rinks, pitches, and courts where they were generated. Currently, these professional analysts use R, Stata, SAS, and other statistical software packages for uncovering insights from game data. Quantitative sports consultants seek a competitive advantage both for their clients and for themselves as analytics becomes increasingly valued by teams, clubs, and squads.

Diagnostic test evaluation by patient-outcome study in homeopathy: balancing of feasibility and validity.

Background: Signs and symptoms can be considered as diagnostic tests, updating prior odds by applying Bayes' theorem. In homeopathy, signs and symptoms guide the doctor when prescribing appropriate medicines but the powers of these indicators are largely based on common experience.

Objective: We want to know whether it is possible to calculate the power of arguments of signs and symptoms indicating homeopathic medicines, expressed in likelihood ratios.

The 2005 meta-analysis of homeopathy: the importance of post-publication data.

Background: There is a discrepancy between the outcome of a meta-analysis published in 1997 of 89 trials of homeopathy by Linde et al and an analysis of 110 trials by Shang et al published in 2005, these reached opposite conclusions. Important data were not mentioned in Shang et al's paper, but only provided subsequently.

Questions: What was the outcome of Shang et al's predefined hypotheses? Were the homeopathic and conventional trials comparable? Was subgroup selection justified? The possible role of ineffective treatments.

Statistical analysis of six repertory rubrics after prospective assessment applying Bayes' theorem.

Background: After prospective assessment of six homeopathic symptoms we validated some rubrics of the homeopathic repertory using Bayesian theory. In this paper we introduce statistical arguments for introducing or discarding entries from the repertory.

Methods: 4094 patients entered the prospective study and 4072 prescriptions were evaluated.

New repertory, new considerations.

The criteria for entering medicines in repertory rubrics are unclear and partly incorrect. A new repertory should be based on clear and objective criteria. Retrospective and prospective assessment of medicines and symptoms by the Dutch Committee for Methods and Validation gives an indication of the validity of existing repertory entries.

A Bayesian perspective on the reliability of homeopathic repertories.

An interim assessment of likelihood ratio of homeopathic symptoms shows that there are serious flaws in Kent's repertory. The system of expressing relationship between symptoms and expected results from medicines by type-face is unclear and unreliable. Bayesian methods can improve this and expand the possibilities of the repertory including the possibility of interpreting the absence of expected symptoms.

Repertory and the symptom loquacity: some results from a pilot study on likelihood ratio.

Treatment outcome in a pilot study indicates that it is possible to assess likelihood ratios of homeopathic symptoms. Entries in repertory rubrics can be validated, but must still be handled carefully. Prospective research is the only acceptable way.

Repertory and likelihood ratio: time for structural changes.

If the likelihood ratio (LR) method is introduced, the repertory will gradually change as more symptoms are assessed. It will also change the use of the repertory: the most important medicines of each symptom rubric can be identified and relied on, even in large rubrics. This is also a good opportunity to correct structural shortcomings of the repertory, for instance, entries should be based on systematic analysis of materia medica instead of casual observations.

'Cure' as the gold standard for likelihood ratio assessment: theoretical considerations.

A gold standard is necessary to assess the validity of homeopathic symptoms. The gold standard is 'cure', but this is difficult to define, and depends on consensus. The likelihood ratio (LR) method will give valid results only if the gold standard is reliable.