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Bayesian probability diagnosis

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https://www.readbyqxmd.com/read/28690054/fuzzy-evidential-network-and-its-application-as-medical-prognosis-and-diagnosis-models
#1
Amin Janghorbani, Mohammad Hassan Moradi
Uncertainty is one of the important facts of the medical knowledge. Medical prognosis and diagnosis, as the essential parts of medical knowledge, is affected by different aspects of uncertainty, which must be managed. In the previous studies, different theories such as Bayesian probability theory, evidence theory, and fuzzy set theory have been developed to represent and manage different aspects of uncertainty. Recently, hybrid frameworks are suggested to deal with various types of uncertainty in a single framework...
July 6, 2017: Journal of Biomedical Informatics
https://www.readbyqxmd.com/read/28408880/a-bayesian-model-for-the-prediction-and-early-diagnosis-of-alzheimer-s-disease
#2
Athanasios Alexiou, Vasileios D Mantzavinos, Nigel H Greig, Mohammad A Kamal
Alzheimer's disease treatment is still an open problem. The diversity of symptoms, the alterations in common pathophysiology, the existence of asymptomatic cases, the different types of sporadic and familial Alzheimer's and their relevance with other types of dementia and comorbidities, have already created a myth-fear against the leading disease of the twenty first century. Many failed latest clinical trials and novel medications have revealed the early diagnosis as the most critical treatment solution, even though scientists tested the amyloid hypothesis and few related drugs...
2017: Frontiers in Aging Neuroscience
https://www.readbyqxmd.com/read/28397168/can-a-bayesian-belief-network-be-used-to-estimate-1-year-survival-in-patients-with-bone-sarcomas
#3
Rajpal Nandra, Michael Parry, Jonathan Forsberg, Robert Grimer
BACKGROUND: Extremity sarcoma has a preponderance to present late with advanced stage at diagnosis. It is important to know why these patients die early from sarcoma and to predict those at high risk. Currently we have mid- to long-term outcome data on which to counsel patients and support treatment decisions, but in contrast to other cancer groups, very little on short-term mortality. Bayesian belief network modeling has been used to develop decision-support tools in various oncologic diagnoses, but to our knowledge, this approach has not been applied to patients with extremity sarcoma...
June 2017: Clinical Orthopaedics and related Research
https://www.readbyqxmd.com/read/28384010/placebo-response-in-pediatric-anxiety-disorders-results-from-the-child-adolescent-anxiety-multimodal-study
#4
Jeffrey R Strawn, Eric T Dobson, Jeffrey A Mills, Gary J Cornwall, Dara Sakolsky, Boris Birmaher, Scott N Compton, John Piacentini, James T McCracken, Golda S Ginsburg, Phillip C Kendall, John T Walkup, Anne Marie Albano, Moira A Rynn
OBJECTIVES: The aim of this study is to identify predictors of pill placebo response and to characterize the temporal course of pill placebo response in anxious youth. METHODS: Data from placebo-treated patients (N = 76) in the Child/Adolescent Anxiety Multimodal Study (CAMS), a multisite, randomized controlled trial that examined the efficacy of cognitive-behavioral therapy, sertraline, their combination, and placebo for the treatment of separation, generalized, and social anxiety disorders, were evaluated...
April 6, 2017: Journal of Child and Adolescent Psychopharmacology
https://www.readbyqxmd.com/read/28279374/the-quantitative-science-of-evaluating%C3%A2-imaging-evidence
#5
REVIEW
Tessa S S Genders, Bart S Ferket, M G Myriam Hunink
Cardiovascular diagnostic imaging tests are increasingly used in everyday clinical practice, but are often imperfect, just like any other diagnostic test. The performance of a cardiovascular diagnostic imaging test is usually expressed in terms of sensitivity and specificity compared with the reference standard (gold standard) for diagnosing the disease. However, evidence-based application of a diagnostic test also requires knowledge about the pre-test probability of disease, the benefit of making a correct diagnosis, the harm caused by false-positive imaging test results, and potential adverse effects of performing the test itself...
March 2017: JACC. Cardiovascular Imaging
https://www.readbyqxmd.com/read/28236025/incremental-diagnostic-quality-gain-of-cta-over-v-q-scan-in-the-assessment-of-pulmonary-embolism-by-means-of-a-wells-score-bayesian-model-results-from-the-acdc-collaboration
#6
Laila Cochon, Kaitlin McIntyre, José M Nicolás, Amado Alejandro Baez
OBJECTIVE: Our objective was to evaluate the diagnostic value of computed tomography angiography (CTA) and ventilation perfusion (V/Q) scan in the assessment of pulmonary embolism (PE) by means of a Bayesian statistical model. METHODS: Wells criteria defined pretest probability. Sensitivity and specificity of CTA and V/Q scan for PE were derived from pooled meta-analysis data. Likelihood ratios calculated for CTA and V/Q were inserted in the nomogram. Absolute (ADG) and relative diagnostic gains (RDG) were analyzed comparing post- and pretest probability...
February 24, 2017: Emergency Radiology
https://www.readbyqxmd.com/read/28049518/an-ontological-analysis-of-medical-bayesian-indicators-of-performance
#7
Adrien Barton, Jean-François Ethier, Régis Duvauferrier, Anita Burgun
BACKGROUND: Biomedical ontologies aim at providing the most exhaustive and rigorous representation of reality as described by biomedical sciences. A large part of medical reasoning deals with diagnosis and is essentially probabilistic. It would be an asset for biomedical ontologies to be able to support such a probabilistic reasoning and formalize Bayesian indicators of performance: sensitivity, specificity, positive predictive value and negative predictive value. In doing so, one has to consider that not only the positive and negative predictive values, but also sensitivity and specificity depend upon the group under consideration: this is the "spectrum effect"...
January 3, 2017: Journal of Biomedical Semantics
https://www.readbyqxmd.com/read/28045023/meta-analytic-bayesian-model-for-differentiating-intestinal-tuberculosis-from-crohn-s-disease
#8
REVIEW
Julajak Limsrivilai, Andrew B Shreiner, Ananya Pongpaibul, Charlie Laohapand, Rewat Boonanuwat, Nonthalee Pausawasdi, Supot Pongprasobchai, Sathaporn Manatsathit, Peter D R Higgins
OBJECTIVES: Distinguishing intestinal tuberculosis (ITB) from Crohn's disease (CD) is difficult, although studies have reported clinical, endoscopic, imaging, and laboratory findings that help to differentiate these two diseases. We aimed to produce estimates of the predictive power of these findings and construct a comprehensive model to predict the probability of ITB vs. CD. METHODS: A systematic literature search for studies differentiating ITB from CD was conducted in MEDLINE, PUBMED, and EMBASE from inception until September 2015...
March 2017: American Journal of Gastroenterology
https://www.readbyqxmd.com/read/27913438/quantifying-the-dynamics-of-field-cancerization-in-tobacco-related-head-and-neck-cancer-a-multiscale-modeling-approach
#9
Marc D Ryser, Walter T Lee, Neal E Ready, Kevin Z Leder, Jasmine Foo
High rates of local recurrence in tobacco-related head and neck squamous cell carcinoma (HNSCC) are commonly attributed to unresected fields of precancerous tissue. Because they are not easily detectable at the time of surgery without additional biopsies, there is a need for noninvasive methods to predict the extent and dynamics of these fields. Here, we developed a spatial stochastic model of tobacco-related HNSCC at the tissue level and calibrated the model using a Bayesian framework and population-level incidence data from the Surveillance, Epidemiology, and End Results (SEER) registry...
December 15, 2016: Cancer Research
https://www.readbyqxmd.com/read/27885441/bayesian-comparative-assessment-of-diagnostic-accuracy-of-low-dose-ct-scan-and-ultrasonography-in-the-diagnosis-of-urolithiasis-after-the-application-of-the-stone-score
#10
Laila Cochon, Jeffrey Smith, Amado Alejandro Baez
OBJECTIVE: The objective of our study was to assess the diagnostic quality of low-dose computed tomography (CT) when compared to ultrasound (US) in diagnosis of urolithiasis using STONE score as a predictor of pre-test probability and the Bayesian statistical model to calculate post-test probabilities (POST) for both diagnostic tests. METHODS: STONE score was used to form risk groups to obtain pre-test probabilities. Likelihood ratios (LR) were calculated from external data for low-dose CT and US...
April 2017: Emergency Radiology
https://www.readbyqxmd.com/read/27818878/intelligent-framework-for-diagnosis-of-frozen-shoulder-using-cross-sectional-survey-and-case-studies
#11
Humaira Batool, M Usman Akram, Fouzia Batool, Wasi Haider Butt
OBJECTIVES: Frozen shoulder is a disease in which shoulder becomes stiff. Accurate diagnosis of frozen shoulder is helpful in providing economical and effective treatment for patients. This research provides the classification of unstructured data using data mining techniques. Prediction results are validated by K-fold cross-validation method. It also provides accurate diagnosis of frozen shoulder using Naïve Bayesian and Random Forest models. At the end results are presented by performance measure techniques...
2016: SpringerPlus
https://www.readbyqxmd.com/read/27752962/physician-bayesian-updating-from-personal-beliefs-about-the-base-rate-and-likelihood-ratio
#12
Benjamin Margolin Rottman
Whether humans can accurately make decisions in line with Bayes' rule has been one of the most important yet contentious topics in cognitive psychology. Though a number of paradigms have been used for studying Bayesian updating, rarely have subjects been allowed to use their own preexisting beliefs about the prior and the likelihood. A study is reported in which physicians judged the posttest probability of a diagnosis for a patient vignette after receiving a test result, and the physicians' posttest judgments were compared to the normative posttest calculated from their own beliefs in the sensitivity and false positive rate of the test (likelihood ratio) and prior probability of the diagnosis...
February 2017: Memory & Cognition
https://www.readbyqxmd.com/read/27722873/bayesian-pretest-probability-estimation-for-primary-malignant-bone-tumors-based-on-the-surveillance-epidemiology-and-end-results-program-seer-database
#13
Matthias Benndorf, Jakob Neubauer, Mathias Langer, Elmar Kotter
PURPOSE: In the diagnostic process of primary bone tumors, patient age, tumor localization and to a lesser extent sex affect the differential diagnosis. We therefore aim to develop a pretest probability calculator for primary malignant bone tumors based on population data taking these variables into account. METHODS: We access the SEER (Surveillance, Epidemiology and End Results Program of the National Cancer Institute, 2015 release) database and analyze data of all primary malignant bone tumors diagnosed between 1973 and 2012...
March 2017: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/27683799/development-and-validation-of-risk-matrices-for-crohn-s-disease-outcomes-in-patients-who-underwent-early-therapeutic-interventions
#14
Cláudia Camila Dias, Pedro Pereira Rodrigues, Rosa Coelho, Paula Moura Santos, Samuel Fernandes, Paula Lago, Cidalina Caetano, Ângela Rodrigues, Francisco Portela, Ana Oliveira, Paula Ministro, Eugénia Cancela, Ana Isabel Vieira, Rita Barosa, José Cotter, Pedro Carvalho, Isabelle Cremers, Daniel Trabulo, Paulo Caldeira, Artur Antunes, Isadora Rosa, Joana Moleiro, Paula Peixe, Rita Herculano, Raquel Gonçalves, Bruno Gonçalves, Helena Tavares Sousa, Luís Contente, Henrique Morna, Susana Lopes, Fernando Magro
Introduction: The establishment of prognostic models for Crohn's disease [CD] is highly desirable, as they have the potential to guide physicians in the decision-making process concerning therapeutic choices, thus improving patients' health and quality of life. Our aim was to derive models for disabling CD and reoperation based solely on clinical/demographic data. Methods: A multicentric and retrospectively enrolled cohort of CD patients, subject to early surgery or immunosuppression, was analysed in order to build Bayesian network models and risk matrices...
April 1, 2017: Journal of Crohn's & Colitis
https://www.readbyqxmd.com/read/27647229/estimating-long-term-crude-probability-of-death-among-young-breast-cancer-patients-a-bayesian-approach
#15
Ramon Clèries, Maria Buxó, Yutaka Yasui, Rafael Marcos-Gragera, José M Martínez, Alberto Ameijide, Jaume Galceran, Josep M Borràs, Àngel Izquierdo
AIMS AND BACKGROUND: Bayesian survival analysis was applied to assess the long-term survival and probability of death due to breast cancer (BC) in Girona, the Spanish region with the highest BC incidence. METHODS: A Bayesian autoregressive model was implemented to compare survival indicators between the periods 1985-1994 and 1995-2004. We assessed the long-term excess hazard of death, relative survival (RS), and crude probability of death due to BC (PBC) up to 20 years after BC diagnosis, reporting the 95% credible intervals (CI) of these indicators...
December 1, 2016: Tumori
https://www.readbyqxmd.com/read/27388877/using-automatically-extracted-information-from-mammography-reports-for-decision-support
#16
Selen Bozkurt, Francisco Gimenez, Elizabeth S Burnside, Kemal H Gulkesen, Daniel L Rubin
OBJECTIVE: To evaluate a system we developed that connects natural language processing (NLP) for information extraction from narrative text mammography reports with a Bayesian network for decision-support about breast cancer diagnosis. The ultimate goal of this system is to provide decision support as part of the workflow of producing the radiology report. MATERIALS AND METHODS: We built a system that uses an NLP information extraction system (which extract BI-RADS descriptors and clinical information from mammography reports) to provide the necessary inputs to a Bayesian network (BN) decision support system (DSS) that estimates lesion malignancy from BI-RADS descriptors...
August 2016: Journal of Biomedical Informatics
https://www.readbyqxmd.com/read/27311276/-how-to-apply-bayesian-theorem-to-the-evaluation-of-myocardial-injury-by-measuring-high-sensitive-cardiac-troponins-in-the-patients-with-suspected-acute-myocardial-infarction
#17
Toshio Shimada, Tsunehiro Yokochi, Yoko Ikoma, Akihiro Sonoda, Naoki Amemiya, Daiki Murakoshi, Hirotoshi Kuzumi, Haruka Kosugiyama
118 consecutive patients of suspected acute myocardial infarction with acute chest pain and shortness of breath visiting our emergency room were subjected for this clinical study. Based on final diagnosis of acute myocardial infarction (AMI) comprehensively determined by medical record, physical examination, ECG, echocardiography, cardiac catheterization, etc., except for cardiac biomarkers, the patients were classified into two groups, with AMI group (1) and without AMI group (0) and then ROC curve analysis was performed between without AMI group (1) and with AMI group (0)...
February 2016: Rinsho Byori. the Japanese Journal of Clinical Pathology
https://www.readbyqxmd.com/read/27272935/computer-aided-detection-of-prostate-cancer-in-t2-weighted-mri-within-the-peripheral-zone
#18
Andrik Rampun, Ling Zheng, Paul Malcolm, Bernie Tiddeman, Reyer Zwiggelaar
In this paper we propose a prostate cancer computer-aided diagnosis (CAD) system and suggest a set of discriminant texture descriptors extracted from T2-weighted MRI data which can be used as a good basis for a multimodality system. For this purpose, 215 texture descriptors were extracted and eleven different classifiers were employed to achieve the best possible results. The proposed method was tested based on 418 T2-weighted MR images taken from 45 patients and evaluated using 9-fold cross validation with five patients in each fold...
July 7, 2016: Physics in Medicine and Biology
https://www.readbyqxmd.com/read/27271250/nivolumab-versus-cabozantinib-comparing-overall-survival-in-metastatic-renal-cell-carcinoma
#19
Witold Wiecek, Helene Karcher
Renal-cell carcinoma (RCC) affects over 330,000 new patients every year, of whom 1/3 present with metastatic RCC (mRCC) at diagnosis. Most mRCC patients treated with a first-line agent relapse within 1 year and need second-line therapy. The present study aims to compare overall survival (OS) between nivolumab and cabozantinib from two recent pivotal studies comparing, respectively, each one of the two emerging treatments against everolimus in patients who relapse following first-line treatment. Comparison is traditionally carried out using the Bucher method, which assumes proportional hazard...
2016: PloS One
https://www.readbyqxmd.com/read/27250162/non-stationary-bayesian-estimation-of-parameters-from-a-body-cover-model-of-the-vocal-folds
#20
Paul J Hadwin, Gabriel E Galindo, Kyle J Daun, Matías Zañartu, Byron D Erath, Edson Cataldo, Sean D Peterson
The evolution of reduced-order vocal fold models into clinically useful tools for subject-specific diagnosis and treatment hinges upon successfully and accurately representing an individual patient in the modeling framework. This, in turn, requires inference of model parameters from clinical measurements in order to tune a model to the given individual. Bayesian analysis is a powerful tool for estimating model parameter probabilities based upon a set of observed data. In this work, a Bayesian particle filter sampling technique capable of estimating time-varying model parameters, as occur in complex vocal gestures, is introduced...
May 2016: Journal of the Acoustical Society of America
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