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Intelligence Testing

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21. The Predictive Validity of Four Intelligence Tests for School Grades: A Small Sample Longitudinal Study Full Text available with Trip Pro

The Predictive Validity of Four Intelligence Tests for School Grades: A Small Sample Longitudinal Study Intelligence is considered the strongest single predictor of scholastic achievement. However, little is known regarding the predictive validity of well-established intelligence tests for school grades. We analyzed the predictive validity of four widely used intelligence tests in German-speaking countries: The Intelligence and Development Scales (IDS), the Reynolds Intellectual Assessment (...) Scales (RIAS), the Snijders-Oomen Nonverbal Intelligence Test (SON-R 6-40), and the Wechsler Intelligence Scale for Children (WISC-IV), which were individually administered to 103 children (Mage = 9.17 years) enrolled in regular school. School grades were collected longitudinally after 3 years (averaged school grades, mathematics, and language) and were available for 54 children (Mage = 11.77 years). All four tests significantly predicted averaged school grades. Furthermore, the IDS and the RIAS

2017 Frontiers in psychology

22. Towards Intelligent Interpretation of Low Strain Pile Integrity Testing Results Using Machine Learning Techniques Full Text available with Trip Pro

Towards Intelligent Interpretation of Low Strain Pile Integrity Testing Results Using Machine Learning Techniques Low strain pile integrity testing (LSPIT), due to its simplicity and low cost, is one of the most popular NDE methods used in pile foundation construction. While performing LSPIT in the field is generally quite simple and quick, determining the integrity of the test piles by analyzing and interpreting the test signals (reflectograms) is still a manual process performed (...) by experienced experts only. For foundation construction sites where the number of piles to be tested is large, it may take days before the expert can complete interpreting all of the piles and delivering the integrity assessment report. Techniques that can automate test signal interpretation, thus shortening the LSPIT's turnaround time, are of great business value and are in great need. Motivated by this need, in this paper, we develop a computer-aided reflectogram interpretation (CARI) methodology that can

2017 Sensors (Basel, Switzerland)

23. Intelligence and all-cause mortality in the 6-Day Sample of the Scottish Mental Survey 1947 and their siblings: testing the contribution of family background Full Text available with Trip Pro

Intelligence and all-cause mortality in the 6-Day Sample of the Scottish Mental Survey 1947 and their siblings: testing the contribution of family background Higher early-life intelligence is associated with a reduced risk of mortality in adulthood, though this association is apparently hardly attenuated when accounting for early-life socio-economic status (SES). However, the use of proxy measures of SES means that residual confounding may underestimate this attenuation. In the present study (...) , the potential confounding effect of early-life SES was instead accounted for by examining the intelligence-mortality association within families.The association between early-life intelligence and mortality in adulthood was assessed in 727 members of the 6-Day Sample of the Scottish Mental Survey 1947 and, for the first time, 1580 of their younger siblings. These individuals were born between 1936 and 1958, and were followed up into later life, with deaths recorded up to 2015. Cox regression was used

2017 International journal of epidemiology

24. Development and Testing of an Intelligent Pain Management System (IPMS) on Mobile Phones Through a Randomized Trial Among Chinese Cancer Patients: A New Approach in Cancer Pain Management Full Text available with Trip Pro

Development and Testing of an Intelligent Pain Management System (IPMS) on Mobile Phones Through a Randomized Trial Among Chinese Cancer Patients: A New Approach in Cancer Pain Management Cancer has become increasingly prevalent in China over the past few decades. Among the factors that determine the quality of life of cancer patients, pain has commonly been recognized as a most critical one; it could also lead to the ineffective treatment of the cancer. Driven by the need for better pain (...) management for cancer patients, our research team developed a mobile-based Intelligent Pain Management System (IPMS).Our objective was to design, develop, and test the IPMS to facilitate real-time pain recording and timely intervention among cancer patients with pain. The system's usability, feasibility, compliance, and satisfaction were also assessed.A sample of 46 patients with cancer pain symptoms were recruited at the Oncology Center of Xinhua Hospital affiliated to Shanghai Jiao Tong University

2017 JMIR mHealth and uHealth Controlled trial quality: uncertain

25. Automated Critical Test Findings Identification and Online Notification System Using Artificial Intelligence in Imaging. Full Text available with Trip Pro

Automated Critical Test Findings Identification and Online Notification System Using Artificial Intelligence in Imaging. Purpose To evaluate the performance of an artificial intelligence (AI) tool using a deep learning algorithm for detecting hemorrhage, mass effect, or hydrocephalus (HMH) at non-contrast material-enhanced head computed tomographic (CT) examinations and to determine algorithm performance for detection of suspected acute infarct (SAI). Materials and Methods This HIPAA-compliant (...) retrospective study was completed after institutional review board approval. A training and validation dataset of noncontrast-enhanced head CT examinations that comprised 100 examinations of HMH, 22 of SAI, and 124 of noncritical findings was obtained resulting in 2583 representative images. Examinations were processed by using a convolutional neural network (deep learning) using two different window and level configurations (brain window and stroke window). AI algorithm performance was tested on a separate

2017 Radiology

26. The Influence of Fluid Intelligence, Executive Functions and Premorbid Intelligence on Memory in Frontal Patients Full Text available with Trip Pro

The Influence of Fluid Intelligence, Executive Functions and Premorbid Intelligence on Memory in Frontal Patients Objective: It is commonly thought that memory deficits in frontal patients are a result of impairments in executive functions which impact upon storage and retrieval processes. Yet, few studies have specifically examined the relationship between memory performance and executive functions in frontal patients. Furthermore, the contribution of more general cognitive processes (...) such as fluid intelligence and demographic factors such as age, education, and premorbid intelligence has not been considered. Method: Our study examined the relationship between recall and recognition memory and performance on measures of fluid intelligence, executive functions and premorbid intelligence in 39 frontal patients and 46 healthy controls. Results: Recall memory impairments in frontal patients were strongly correlated with fluid intelligence, executive functions and premorbid intelligence

2018 Frontiers in psychology

27. An artificial intelligence-enabled ECG algorithm for the identification of patients with atrial fibrillation during sinus rhythm: a retrospective analysis of outcome prediction. (Abstract)

An artificial intelligence-enabled ECG algorithm for the identification of patients with atrial fibrillation during sinus rhythm: a retrospective analysis of outcome prediction. Atrial fibrillation is frequently asymptomatic and thus underdetected but is associated with stroke, heart failure, and death. Existing screening methods require prolonged monitoring and are limited by cost and low yield. We aimed to develop a rapid, inexpensive, point-of-care means of identifying patients with atrial (...) fibrillation using machine learning.We developed an artificial intelligence (AI)-enabled electrocardiograph (ECG) using a convolutional neural network to detect the electrocardiographic signature of atrial fibrillation present during normal sinus rhythm using standard 10-second, 12-lead ECGs. We included all patients aged 18 years or older with at least one digital, normal sinus rhythm, standard 10-second, 12-lead ECG acquired in the supine position at the Mayo Clinic ECG laboratory between Dec 31, 1993

2019 Lancet

28. Intelligence Testing

Intelligence Testing Intelligence Testing Toggle navigation Brain Head & Neck Chest Endocrine Abdomen Musculoskeletal Skin Infectious Disease Hematology & Oncology Cohorts Diagnostics Emergency Findings Procedures Prevention & Management Pharmacy Resuscitation Trauma Emergency Procedures Ultrasound Cardiovascular Emergencies Lung Emergencies Infectious Disease Pediatrics Neurologic Emergencies Skin Exposure Miscellaneous Abuse Cancer Administration 4 Intelligence Testing Intelligence Testing (...) Aka: Intelligence Testing From Related Chapters II. Indications Abnormal Child must be at least 3 years III. Efficacy Predictive of later functioning, (esp. post-school age) Should be performed in conjunction with function test IV. Tests Images: Related links to external sites (from Bing) These images are a random sampling from a Bing search on the term "Intelligence Testing." Click on the image (or right click) to open the source website in a new browser window. Related Studies (from Trip

2018 FP Notebook

29. Are computerised interventions effective in improving performance on tests of fluid intelligence in children and adolescents with disabilities? A systematic review

Are computerised interventions effective in improving performance on tests of fluid intelligence in children and adolescents with disabilities? A systematic review Print | PDF PROSPERO This information has been provided by the named contact for this review. CRD has accepted this information in good faith and registered the review in PROSPERO. CRD bears no responsibility or liability for the content of this registration record, any associated files or external websites. Email salutation (e.g (...) by the number of treatment groups served. Where applicable, Holm-Bonferroni correction for testing multiple subgroup analyses will be performed. If one or more subgroup analyses cannot be performed due to insufficient data, the p-value will be adjusted accordingly. ">Other Subgroup analysis or meta-regression are used to explore between-study heterogeneity and can provide insight into the relationship between study characteristics (e.g. species, sex or drug class or dose) and effect size. They should

2018 PROSPERO

30. Artificial intelligence and liver transplant (AI4T): can artificial intelligence predict individual liver graft survival, a systematic review

Artificial intelligence and liver transplant (AI4T): can artificial intelligence predict individual liver graft survival, a systematic review Print | PDF PROSPERO This information has been provided by the named contact for this review. CRD has accepted this information in good faith and registered the review in PROSPERO. The registrant confirms that the information supplied for this submission is accurate and complete. CRD bears no responsibility or liability for the content (...) experimental group, we will correct the total number of control animals in the meta-analysis by dividing the number of animals in the control group by the number of treatment groups served. Where applicable, Holm-Bonferroni correction for testing multiple subgroup analyses will be performed. If one or more subgroup analyses cannot be performed due to insufficient data, the p-value will be adjusted accordingly. ">Other Subgroup analysis or meta-regression are used to explore between-study heterogeneity

2019 PROSPERO

31. Artificial intelligence and the analysis of multi-platform metabolomics data for the detection of intrauterine growth restriction. Full Text available with Trip Pro

Artificial intelligence and the analysis of multi-platform metabolomics data for the detection of intrauterine growth restriction. To interrogate the pathogenesis of intrauterine growth restriction (IUGR) and apply Artificial Intelligence (AI) techniques to multi-platform i.e. nuclear magnetic resonance (NMR) spectroscopy and mass spectrometry (MS) based metabolomic analysis for the prediction of IUGR.MS and NMR based metabolomic analysis were performed on cord blood serum from 40 IUGR (birth (...) weight < 10th percentile) cases and 40 controls. Three variable selection algorithms namely: Correlation-based feature selection (CFS), Partial least squares regression (PLS) and Learning Vector Quantization (LVQ) were tested for their diagnostic performance. For each selected set of metabolites and the panel consists of metabolites common in three selection algorithms so-called overlapping set (OL), support vector machine (SVM) models were developed for which parameter selection was performed busing

2019 PLoS ONE

32. Artificial intelligence for understanding concussion: Retrospective cluster analysis on the balance and vestibular diagnostic data of concussion patients. Full Text available with Trip Pro

]) and higher on the visual acuity (-0.03[0.33] vs. -0.14[0.12]) and dynamic visual acuity (0.38[0.84] vs. 0.20[0.20]) tests. The importance of caloric, SOT and DVA, was supported by the PCA outcomes. Group-1 tended to report headaches, blurred vision and balance problems more frequently than group-2 (>10% difference).The SOM divided the data into one group with prominent vestibular disorders and another with no clear vestibular or balance problems, suggesting that artificial intelligence might help improve (...) Artificial intelligence for understanding concussion: Retrospective cluster analysis on the balance and vestibular diagnostic data of concussion patients. We propose a bottom-up, machine-learning approach, for the objective vestibular and balance diagnostic data of concussion patients, to provide insight into the differences in patients' phenotypes, independent of existing diagnoses (unsupervised learning).Diagnostic data from a battery of validated balance and vestibular assessments were

2019 PLoS ONE

33. Artificial intelligence enabled parabolic response surface platform identifies ultra-rapid near-universal TB drug treatment regimens comprising approved drugs. Full Text available with Trip Pro

Artificial intelligence enabled parabolic response surface platform identifies ultra-rapid near-universal TB drug treatment regimens comprising approved drugs. Shorter, more effective treatments for tuberculosis (TB) are urgently needed. While many TB drugs are available, identification of the best regimens is challenging because of the large number of possible drug-dose combinations. We have found consistently that responses of cells or whole animals to drug-dose stimulations fit a parabolic (...) response surface (PRS), allowing us to identify and optimize the best drug combinations by testing only a small fraction of the total search space. Previously, we used PRS methodology to identify three regimens (PRS Regimens I-III) that in murine models are much more effective than the standard regimen used to treat TB. However, PRS Regimens I and II are unsuitable for treating drug-resistant TB and PRS Regimen III includes an experimental drug. Here, we use PRS methodology to identify from an expanded

2019 PLoS ONE

34. Development of an intelligent decision support system for ischemic stroke risk assessment in a population-based electronic health record database. Full Text available with Trip Pro

Development of an intelligent decision support system for ischemic stroke risk assessment in a population-based electronic health record database. Intelligent decision support systems (IDSS) have been applied to tasks of disease management. Deep neural networks (DNNs) are artificial intelligent techniques to achieve high modeling power. The application of DNNs to large-scale data for estimating stroke risk needs to be assessed and validated. This study aims to apply a DNN for deriving a stroke (...) predictive model using a big electronic health record database.The Taiwan National Health Insurance Research Database was used to conduct a retrospective population-based study. The database was divided into one development dataset for model training (~70% of total patients for training and ~10% for parameter tuning) and two testing datasets (each ~10%). A total of 11,192,916 claim records from 840,487 patients were used. The primary outcome was defined as any ischemic stroke in inpatient records within

2019 PLoS ONE

35. Artificial intelligence to predict needs for urgent revascularization from 12-leads electrocardiography in emergency patients. Full Text available with Trip Pro

were splitted into validation and derivation dataset with no duplication in each dataset. The artificial intelligence model was constructed to select patients who require urgent revascularization within 48 hours. The model was trained with the derivation dataset and tested using the validation dataset.Of the consecutive 39,619 patients visiting the emergency room with chest discomfort, 362 underwent urgent revascularization. Of them, 249 were included in the derivation dataset and the remaining 113 (...) Artificial intelligence to predict needs for urgent revascularization from 12-leads electrocardiography in emergency patients. Patient with acute coronary syndrome benefits from early revascularization. However, methods for the selection of patients who require urgent revascularization from a variety of patients visiting the emergency room with chest symptoms is not fully established. Electrocardiogram is an easy and rapid procedure, but may contain crucial information not recognized even

2019 PLoS ONE

36. Molecular intelligence (Caris Life Sciences)

Molecular intelligence (Caris Life Sciences) Molecular intelligence (Caris Life Sciences) Molecular intelligence (Caris Life Sciences) HAYES, Inc. Record Status This is a bibliographic record of a published health technology assessment from a member of INAHTA. No evaluation of the quality of this assessment has been made for the HTA database. Citation HAYES, Inc.. Molecular intelligence (Caris Life Sciences) Lansdale: HAYES, Inc.. Genetic Testing Publication. 2016 Authors' conclusions (...) of cancer—has become commercially available in the last few years (Gray et al., 2014; Epelbaum et al., 2015). Molecular Intelligence (MI) is a set of molecular biomarker tests that may be ordered within a predefined profile or individually, offered as part of a tumor profiling service provided by Caris Life Sciences. It is based upon a previous test known as Target Now Molecular Profiling. MI differs from Target Now in its methodology platform, which incorporates next-generation sequencing (NGS

2016 Health Technology Assessment (HTA) Database.

37. Word sense disambiguation using hybrid swarm intelligence approach. Full Text available with Trip Pro

Word sense disambiguation using hybrid swarm intelligence approach. Word sense disambiguation (WSD) is the process of identifying an appropriate sense for an ambiguous word. With the complexity of human languages in which a single word could yield different meanings, WSD has been utilized by several domains of interests such as search engines and machine translations. The literature shows a vast number of techniques used for the process of WSD. Recently, researchers have focused on the use (...) as objective functions for the proposed hybrid PSO. These measures consist of JCN and extended Lesk methods, which are combined effectively in this work. The proposed method is tested using a three-benchmark dataset (SemCor 3.0, SensEval-2, and SensEval-3). Results show that the proposed method has superior performance in comparison with state-of-the-art approaches.

2018 PLoS ONE

38. Adolescents show collective intelligence which can be driven by a geometric mean rule of thumb. Full Text available with Trip Pro

that adolescents at least as young as 11 years old improve their estimation accuracy after a period of group discussion, demonstrating collective intelligence. Although this effect was robust to the overall distribution of initial estimates, when the task generated positively skewed estimates, the geometric mean of initial estimates gave the best fit to the data compared to other tested aggregation rules. A geometric mean heuristic in consensus decision making is also likely to apply to adults, as it provides (...) Adolescents show collective intelligence which can be driven by a geometric mean rule of thumb. How effective groups are in making decisions is a long-standing question in studying human and animal behaviour. Despite the limited social and cognitive abilities of younger people, skills which are often required for collective intelligence, studies of group performance have been limited to adults. Using a simple task of estimating the number of sweets in jars, we show in two experiments

2018 PLoS ONE

39. Enhanced intelligent water drops algorithm for multi-depot vehicle routing problem. Full Text available with Trip Pro

of the probability of acceptance criteria, are investigated. The exponential calculation of the probability of acceptance criteria for the simulated annealing based techniques is computationally expensive. Therefore, in order to maximize the performance of the intelligent water drop algorithm using simulated annealing, a better way of calculating the probability of acceptance criteria is considered. The performance of the proposed hybrid algorithm is evaluated by using 33 standard test problems, with the results (...) Enhanced intelligent water drops algorithm for multi-depot vehicle routing problem. The intelligent water drop algorithm is a swarm-based metaheuristic algorithm, inspired by the characteristics of water drops in the river and the environmental changes resulting from the action of the flowing river. Since its appearance as an alternative stochastic optimization method, the algorithm has found applications in solving a wide range of combinatorial and functional optimization problems. This paper

2018 PLoS ONE

40. Brain entropy and human intelligence: A resting-state fMRI study. Full Text available with Trip Pro

access. This study investigates the relationship between human intelligence and brain entropy, to determine whether neural variability as reflected in neuroimaging signals carries information about intellectual ability. We hypothesize that intelligence will be positively associated with entropy in a sample of 892 healthy adults, using resting-state fMRI. Intelligence is measured with the Shipley Vocabulary and WASI Matrix Reasoning tests. Brain entropy was positively associated with intelligence (...) Brain entropy and human intelligence: A resting-state fMRI study. Human intelligence comprises comprehension of and reasoning about an infinitely variable external environment. A brain capable of large variability in neural configurations, or states, will more easily understand and predict variable external events. Entropy measures the variety of configurations possible within a system, and recently the concept of brain entropy has been defined as the number of neural states a given brain can

2018 PLoS ONE

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