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https://www.readbyqxmd.com/read/29774400/cost-effectiveness-of-osteoporosis-screening-strategies-for-hip-fracture-prevention-in-older-chinese-people-a-decision-tree-modeling-study-in-the-mr-os-and-ms-os-cohort-in-hong-kong
#1
Y Su, F T T Lai, B H K Yip, J C S Leung, T C Y Kwok
Despite the high costs of hip fracture, many governments provide limited support for osteoporosis screening. We demonstrated that osteoporosis screening by dual-energy X-ray absorptiometry (DXA) with or without pre-screening by Fracture Risk Assessment Tool (FRAX) or calcaneal ultrasound are more cost-effective than no screening in Chinese people aged 65 or over in Hong Kong. INTRODUCTION: To examine the cost-effective potential osteoporosis screening strategies for hip fracture prevention in Hong Kong...
May 17, 2018: Osteoporosis International
https://www.readbyqxmd.com/read/29772890/application-of-decision-tree-for-prediction-of-cutaneous-leishmaniasis-incidence-based-on-environmental-and-topographic-factors-in-isfahan-province-iran
#2
Roghieh Ramezankhani, Nooshin Sajjadi, Roya Nezakati Esmaeilzadeh, Seyed Ali Jozi, Mohammad Reza Shirzadi
Cutaneous Leishmaniasis (CL) is a neglected tropical disease that continues to be a health problem in Iran. Nearly 350 million people are thought to be at risk. We investigated the impact of the environmental factors on CL incidence during the period 2007- 2015 in a known endemic area for this disease in Isfahan Province, Iran. After collecting data with regard to the climatic, topographic, vegetation coverage and CL cases in the study area, a decision tree model was built using the classification and regression tree algorithm...
May 8, 2018: Geospatial Health
https://www.readbyqxmd.com/read/29772077/a-feature-alignment-score-for-online-cone-beam-ct-based-image-guided-radiotherapy-for-prostate-cancer
#3
Catriona Hargrave, Timothy Deegan, Michael Poulsen, Tomasz Bednarz, Fiona Harden, Kerrie Mengersen
PURPOSE: To develop a method for scoring online cone-beam CT (CBCT)-to-planning CT image feature alignment to inform prostate image-guided radiotherapy (IGRT) decision-making. The feasibility of incorporating volume variation metric thresholds, predictive of delivering planned dose into weighted functions, was investigated. METHODS: Radiation therapists and radiation oncologists participated in workshops where they reviewed prostate CBCT-IGRT case examples and completed a paper-based survey of image feature matching practices...
May 17, 2018: Medical Physics
https://www.readbyqxmd.com/read/29770247/using-statistical-and-machine-learning-methods-to-evaluate-the-prognostic-accuracy-of-sirs-and-qsofa
#4
Akash Gupta, Tieming Liu, Scott Shepherd, William Paiva
Objectives: The objective of this study was to compare the performance of two popularly used early sepsis diagnostic criteria, systemic inflammatory response syndrome (SIRS) and quick Sepsis-related Organ Failure Assessment (qSOFA), using statistical and machine learning approaches. Methods: This retrospective study examined patient visits in Emergency Department (ED) with sepsis related diagnosis. The outcome was 28-day in-hospital mortality. Using odds ratio (OR) and modeling methods (decision tree [DT], multivariate logistic regression [LR], and naïve Bayes [NB]), the relationships between diagnostic criteria and mortality were examined...
April 2018: Healthcare Informatics Research
https://www.readbyqxmd.com/read/29769759/a-p2p-botnet-detection-scheme-based-on-decision-tree-and-adaptive-multilayer-neural-networks
#5
Mohammad Alauthaman, Nauman Aslam, Li Zhang, Rafe Alasem, M A Hossain
In recent years, Botnets have been adopted as a popular method to carry and spread many malicious codes on the Internet. These malicious codes pave the way to execute many fraudulent activities including spam mail, distributed denial-of-service attacks and click fraud. While many Botnets are set up using centralized communication architecture, the peer-to-peer (P2P) Botnets can adopt a decentralized architecture using an overlay network for exchanging command and control data making their detection even more difficult...
2018: Neural Computing & Applications
https://www.readbyqxmd.com/read/29767688/safety-and-dose-modification-for-patients-receiving-niraparib
#6
J S Berek, U A Matulonis, U Peen, P Ghatage, S Mahner, A Redondo, A Lesoin, N Colombo, I Vergote, O Rosengarten, J Ledermann, M Pineda, S Ellard, J Sehouli, A Gonzalez-Martin, D Berton-Rigaud, R Madry, A Reinthaller, S Hazard, W Guo, M R Mirza
Background: Niraparib is a poly(ADP-ribose) polymerase (PARP) inhibitor approved in the United States and Europe for maintenance treatment of adult patients with recurrent epithelial ovarian, fallopian tube, or primary peritoneal cancer who are in complete or partial response to platinum-based chemotherapy. In the pivotal ENGOT-OV16/NOVA trial, the dose reduction rate due to TEAE was 68.9%, and the discontinuation rate due to TEAE was 14.7%, including 3.3% due to thrombocytopenia. A retrospective analysis was performed to identify clinical parameters that predict dose reductions...
May 14, 2018: Annals of Oncology: Official Journal of the European Society for Medical Oncology
https://www.readbyqxmd.com/read/29765477/detecting-epileptic-seizure-with-different-feature-extracting-strategies-using-robust-machine-learning-classification-techniques-by-applying-advance-parameter-optimization-approach
#7
Lal Hussain
Epilepsy is a neurological disorder produced due to abnormal excitability of neurons in the brain. The research reveals that brain activity is monitored through electroencephalogram (EEG) of patients suffered from seizure to detect the epileptic seizure. The performance of EEG detection based epilepsy require feature extracting strategies. In this research, we have extracted varying features extracting strategies based on time and frequency domain characteristics, nonlinear, wavelet based entropy and few statistical features...
June 2018: Cognitive Neurodynamics
https://www.readbyqxmd.com/read/29764796/predicting-the-reasons-of-customer-complaints-a-first-step-toward-anticipating-quality-issues-of-in-vitro-diagnostics-assays-with-machine-learning
#8
Stephane Aris-Brosou, James Kim, Li Li, Hui Liu
BACKGROUND: Vendors in the health care industry produce diagnostic systems that, through a secured connection, allow them to monitor performance almost in real time. However, challenges exist in analyzing and interpreting large volumes of noisy quality control (QC) data. As a result, some QC shifts may not be detected early enough by the vendor, but lead a customer to complain. OBJECTIVE: The aim of this study was to hypothesize that a more proactive response could be designed by utilizing the collected QC data more efficiently...
May 15, 2018: JMIR Medical Informatics
https://www.readbyqxmd.com/read/29763967/machine-learning-algorithms-for-outcome-prediction-in-chemo-radiotherapy-an-empirical-comparison-of-classifiers
#9
Timo M Deist, Frank J W M Dankers, Gilmer Valdes, Robin Wijsman, I-Chow Hsu, Cary Oberije, Tim Lustberg, Johan van Soest, Frank Hoebers, Arthur Jochems, Issam El Naqa, Leonard Wee, Olivier Morin, David R Raleigh, Wouter Bots, Johannes H Kaanders, José Belderbos, Margriet Kwint, Timothy Solberg, René Monshouwer, Johan Bussink, Andre Dekker, Philippe Lambin
PURPOSE: Machine learning classification algorithms (classifiers) for prediction of treatment response are becoming more popular in radiotherapy literature. General machine learning literature provides evidence in favor of some classifier families (random forest, support vector machine, gradient boosting) in terms of classification performance. The purpose of this study is to compare such classifiers specifically for (chemo)radiotherapy datasets and to estimate their average discriminative performance for radiation treatment outcome prediction...
May 15, 2018: Medical Physics
https://www.readbyqxmd.com/read/29763706/exploiting-semantic-patterns-over-biomedical-knowledge-graphs-for-predicting-treatment-and-causative-relations
#10
Gokhan Bakal, Preetham Talari, Elijah V Kakani, Ramakanth Kavuluru
BACKGROUND: Identifying new potential treatment options for medical conditions that cause human disease burden is a central task of biomedical research. Since all candidate drugs cannot be tested with animal and clinical trials, in vitro approaches are first attempted to identify promising candidates. Likewise, identifying different causal relations between biomedical entities is also critical to understand biomedical processes. Generally, natural language processing (NLP) and machine learning are used to predict specific relations between any given pair of entities using the distant supervision approach...
May 12, 2018: Journal of Biomedical Informatics
https://www.readbyqxmd.com/read/29762186/decision-making-for-management-of-periimplant-diseases
#11
Khaled Sinjab, Carlos Garaicoa-Pazmino, Hom-Lay Wang
INTRODUCTION: Nonsurgical and surgical management of periimplant mucositis and periimplantitis have shown promising results in arresting periimplant marginal bone loss (MBL) and preventing implant loss. However, management of periimplant diseases still remains unpredictable for full reconstruction of lost tissues and completely arrests disease progression. The present study proposes a decision tree that compiles both clinical and radiographic presentation of failing implants to aid in the decision making for their management...
May 11, 2018: Implant Dentistry
https://www.readbyqxmd.com/read/29757360/decision-analysis-supports-the-use-of-drain-amylase-based-enhanced-recovery-method-after-esophagectomy
#12
B Jiang, V P Ho, J Ginsberg, S J Fu, Y Perry, L Argote-Greene, P A Linden, C W Towe
Postesophagectomy anastomotic leak is a common postsurgical complication. The current standard method of detecting leak is esophagram usually late in the postoperative period. Perianastomotic drain amylase level had shown promising results in early detection anastomosis leak. Previous studies have shown that postoperative day 4 amylase level is more specific and sensitive than esophagram. The purpose of this study is to determine if implementing a drain amylase-based screening method for anastomotic leak can reduce length of stay and hospital cost relative to a traditional esophagram-based pathway...
May 10, 2018: Diseases of the Esophagus: Official Journal of the International Society for Diseases of the Esophagus
https://www.readbyqxmd.com/read/29753987/accounting-for-no-net-loss-a-critical-assessment-of-biodiversity-offsetting-metrics-and-methods
#13
Maria Jose Carreras Gamarra, James Philip Lassoie, Jeffrey Milder
Biodiversity offset strategies are based on the explicit calculation of both losses and gains necessary to establish ecological equivalence between impact and offset areas. Given the importance of quantifying biodiversity values, various accounting methods and metrics are continuously being developed and tested for this purpose. Considering the wide array of alternatives, selecting an appropriate one for a specific project can be not only challenging, but also crucial; accounting methods can strongly influence the biodiversity outcomes of an offsetting strategy, and if not well-suited to the context and values being offset, a no net loss outcome might not be delivered...
May 10, 2018: Journal of Environmental Management
https://www.readbyqxmd.com/read/29752655/hierarchical-classification-of-land-use-types-using-multiple-vegetation-indices-to-measure-the-effects-of-urbanization
#14
Sharmin Shishir, Shiro Tsuyuzaki
Detecting fine-scale spatiotemporal land use changes is a prerequisite for understanding and predicting the effects of urbanization and its related human impacts on the ecosystem. Land use changes are frequently examined using vegetation indices (VIs), although the validation of these indices has not been conducted at a high resolution. Therefore, a hierarchical classification was constructed to obtain accurate land use types at a fine scale. The characteristics of four popular VIs were investigated prior to examining the hierarchical classification by using Purbachal New Town, Bangladesh, which exhibits ongoing urbanization...
May 11, 2018: Environmental Monitoring and Assessment
https://www.readbyqxmd.com/read/29749052/exercise-testing-based-algorithms-to-diagnose-mcardle-disease-and-mad-defects
#15
J-B Noury, F Zagnoli, J-L Carré, I Drouillard, F Petit, C Le Maréchal, P Marcorelles, F Rannou
OBJECTIVE: As exercise intolerance and exercise-induced myalgia are commonly encountered in metabolic myopathies, functional screening tests are commonly used during the diagnostic work-up. Our objective was to evaluate the accuracy of isometric handgrip test (IHT) and progressive cycle ergometer test (PCET) to identify McArdle disease and myoadenylate deaminase (MAD) deficiency and to propose diagnostic algorithms using exercise-induced lactate and ammonia variations. METHODS: A prospective sample of 46 patients underwent an IHT and a PCET as part of their exercise-induced myalgia and intolerance evaluation...
May 10, 2018: Acta Neurologica Scandinavica
https://www.readbyqxmd.com/read/29741531/cost-effectiveness-of-physical-fitness-training-for-stroke-survivors
#16
M Collins, E Clifton, F van Wijck, G E Mead
Background Physical fitness is impaired after stroke, yet fitness training after stroke reduces disability. Several international guidelines recommend that fitness training be incorporated as part of stroke rehabilitation. However, information about cost-effectiveness is limited. Methods A decision tree model was used to estimate the cost-effectiveness of a fitness programme for stroke survivors vs. relaxation (control group). This was based on a published randomised controlled trial, from which evidence about quality of life was used to estimate Quality Adjusted Life Years...
March 2018: Journal of the Royal College of Physicians of Edinburgh
https://www.readbyqxmd.com/read/29740407/overview-of-virus-metagenomic-classification-methods-and-their-biological-applications
#17
REVIEW
Sam Nooij, Dennis Schmitz, Harry Vennema, Annelies Kroneman, Marion P G Koopmans
Metagenomics poses opportunities for clinical and public health virology applications by offering a way to assess complete taxonomic composition of a clinical sample in an unbiased way. However, the techniques required are complicated and analysis standards have yet to develop. This, together with the wealth of different tools and workflows that have been proposed, poses a barrier for new users. We evaluated 49 published computational classification workflows for virus metagenomics in a literature review. To this end, we described the methods of existing workflows by breaking them up into five general steps and assessed their ease-of-use and validation experiments...
2018: Frontiers in Microbiology
https://www.readbyqxmd.com/read/29736951/factors-associated-with-advanced-hepatic-fibrosis-in-patients-with-various-internal-diseases-a-multicenter-community-based-survey
#18
Takumi Kawaguchi, Tetsuaki Inokuchi, Tomoki Honma, Satoshi Itano, Eiji Kawasaki, Chizuko Inada, Toshichika Aoki, Naohira Tsumura, Akiteru Araki, Tokunori Mukae, Takuji Torimura
BACKGROUND AND AIMS: Advanced hepatic fibrosis can occur in patients with various diseases, including diabetes mellitus and hypertension. We aimed to investigate the prevalence and risk factors of advanced hepatic fibrosis in patients with various internal diseases. PATIENTS AND METHODS: We performed a community-based survey in which 1,012 patients were enrolled (mean age, 63.1 ± 10.8 years; female/male, 505/507). Hepatic fibrosis was evaluated by Fib-4 index and patients were classified into high and low Fib-4 groups...
May 7, 2018: Hepatology Research: the Official Journal of the Japan Society of Hepatology
https://www.readbyqxmd.com/read/29736160/prediction-of-return-to-original-work-after-an-industrial-accident-using-machine-learning-and-comparison-of-techniques
#19
Jongin Lee, Hyoung-Ryoul Kim
Background: Many studies have tried to develop predictors for return-to-work (RTW). However, since complex factors have been demonstrated to predict RTW, it is difficult to use them practically. This study investigated whether factors used in previous studies could predict whether an individual had returned to his/her original work by four years after termination of the worker's recovery period. Methods: An initial logistic regression analysis of 1,567 participants of the fourth Panel Study of Worker's Compensation Insurance yielded odds ratios...
May 7, 2018: Journal of Korean Medical Science
https://www.readbyqxmd.com/read/29735755/recommended-approaches-for-pharmacokinetic-natural-product-drug-interaction-research-a-napdi-center-commentary
#20
Mary F Paine, Danny D Shen, Jeannine S McCune
Sales of botanical dietary supplements and other purported medicinal natural products (NPs) have escalated over the past ~25 years, increasing the potential for NPs to precipitate clinically significant pharmacokinetic interactions with United States Food and Drug Administration (FDA)-approved medications (NP-drug interactions or NPDIs). Published NPDI studies to date often lack consistency in design, implementation, and documentation, which present difficulties in assessing the clinical significance of the results...
May 7, 2018: Drug Metabolism and Disposition: the Biological Fate of Chemicals
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