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ADscreen: A speech processing-based screening system for automatic identification of patients with Alzheimer's disease and related dementia

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ARTIFICIAL INTELLIGENCE IN MEDICINE 2023年第1期143卷 102624-102624页

作者： Zolnoori, Maryam Zolnour, Ali Topaz, Maxim Columbia Univ Med Ctr New York NY 10027 USA Columbia Univ Sch Nursing New York NY USA Univ Tehran Sch Elect & Comp Engn Tehran Iran

Alzheimer's disease and related dementias (ADRD) present a looming public health crisis, affecting roughly 5 million people and 11 % of older adults in the United States. Despite nationwide efforts for timely diagnosis of patients with ADRD, >50 % of them are not diagnosed and unaware of their disease. To address this challenge, we developed ADscreen, an innovative speech-processing based ADRD screening algorithm for the protective identification of patients with ADRD. ADscreen consists of five major components: (i) noise reduction for reducing background noises from the audio-recorded patient speech, (ii) modeling the patient's ability in phonetic motor planning using acoustic parameters of the patient's voice, (iii) modeling the patient's ability in semantic and syntactic levels of language organization using linguistic parameters of the patient speech, (iv) extracting vocal and semantic psycholinguistic cues from the patient speech, and (v) building and evaluating the screening algorithm. To identify important speech parameters (features) associated with ADRD, we used the Joint Mutual Information Maximization (JMIM), an effective feature selection method for high dimensional, small sample size datasets. Modeling the relationship between speech parameters and the outcome variable (presence/absence of ADRD) was conducted using three different machine learning (ML) architectures with the capability of joining informative acoustic and linguistic with contextual word embedding vectors obtained from the DistilBERT (Bidirectional Encoder Representations from Transformers). We evaluated the performance of the ADscreen on an audio-recorded patients' speech (verbal description) for the Cookie-Theft picture description task, which is publicly available in the dementia databank. The joint fusion of acoustic and linguistic parameters with contextual word embedding vectors of DistilBERT achieved F1-score = 84.64 (standard deviation [std] = & PLUSMN;3.58) and AUC-ROC = 92.53 (s

关键词： Alzheimer's disease and related dementias Speech analysis Natural language processing Machine learning screening algorithm

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Epidemiology and disease characteristics of systemic sclerosis-related pulmonary arterial hypertension: results from a real-life screening programme

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ARTHRITIS RESEARCH & THERAPY 2017年第1期19卷 42-42页

作者： Morrisroe, Kathleen Stevens, Wendy Sahhar, Joanne Rabusa, Candice Nikpour, Mandana Proudman, Susanna Univ Melbourne St Vincents Hosp Melbourne Dept Med 41 Victoria Parade Fitzroy Vic 3065 Australia Univ Melbourne St Vincents Hosp Melbourne Dept Rheumatol 41 Victoria Parade Fitzroy Vic 3065 Australia Univ Melbourne St Vincents Hosp Melbourne Dept Med 41 Victoria Parade Fitzroy Vic 3065 Australia Monash Univ 246 Clayton Rd Clayton Vic 3168 Australia Monash Hlth 246 Clayton Rd Clayton Vic 3168 Australia Royal Adelaide Hosp Rheumatol Unit North Terrace SA 5000 Australia Univ Adelaide Discipline Med Adelaide SA 5000 Australia

Background: Pulmonary arterial hypertension (PAH) is the leading cause of death in systemic sclerosis (SSc). Annual screening with echocardiogram (ECHO) is recommended. We present the methodological aspects of a PAH screening programme in a large Australian SSc cohort, the epidemiology of SSc-PAH in this cohort, and an evaluation of factors influencing physician adherence to PAH screening guidelines. Methods: Patient characteristics and results of PAH screening were determined in all patients enrolled in a SSc longitudinal cohort study. Adherence to PAH screening guidelines was assessed by a survey of Australian rheumatologists. Summary statistics, chi-square tests, univariate and multivariable logistic regression were used to determine the associations of risk factors with PAH. Results: Among 1636 patients with SSc, 194 (11.9%) had PAH proven by right-heart catheter. Of these, 160 were detected by screening. The annual incidence of PAH was 1.4%. Patients with PAH diagnosed on subsequent screens, compared with patients in whom PAH was diagnosed on first screen, were more likely to have diffuse SSc (p = 0.03), be in a better World Health Organisation (WHO) Functional Class at PAH diagnosis (p = 0.01) and have less advanced PAH evidenced by higher mean six-minute walk distance (p = 0.03), lower mean pulmonary arterial pressure (p = 0.009), lower mean pulmonary vascular resistance (p = 0.006) and fewer non-trivial pericardial effusions (p = 0.03). Adherence to annual PAH screening using an ECHO-based algorithm was poor among Australian rheumatologists, with less than half screening their patients with SSc of more than ten years disease duration. Conclusion: PAH is a common complication of SSc. Physician adherence to PAH screening recommendations remains poor. Identifying modifiable barriers to screening may improve adherence and ultimately patient outcomes.

关键词： Systemic sclerosis Scleroderma Pulmonary arterial hypertension screening algorithm

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Efficacy of Advanced Discriminating algorithms for screening on Iron-Deficiency Anemia and β-Thalassemia Trait A Multicenter Evaluation

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AMERICAN JOURNAL OF CLINICAL PATHOLOGY 2012年第2期138卷 300-304页

作者： Schoorl, Margreet Schoorl, Marianne Linssen, Jo Martinez Villanueva, Miriam Velasco NoGuera, Jose A. Hernandez Martinez, Pedro Bartels, Piet C. M. Med Ctr Alkmaar Dept Clin Chem Hematol & Immunol NL-1815 JD Alkmaar Netherlands Sysmex Europe GmbH Norderstedt Germany Hosp Univ Virgen Arrixaca Murcia Spain

For many years, application of RBC indices has been recommended for discriminating between subjects with iron deficiency from those with thalassemia. However, application of the algorithms resulted in only 30% to 40% of subjects being appropriately classified. The aim of the study was to establish the efficacy of algorithms for anemia screening including new hematologic parameters such as percentage of hypochromic and microcytic RBCs and hemoglobin content of reticulocytes. Subjects with iron deficiency anemia (IDA) (n = 142) and subjects with beta-thalassemia (n = 34) were enrolled in a European multicenter study. Apparently healthy subjects were used as a reference group (n = 309). Hemocytometric investigations were performed on a Sysmex XE5000 hematology analyzer. The algorithms for IDA discrimination yielded results for area under the curve, sensitivity, specificity, and positive and negative predictive values of 0.88, 79%, 97%, 74%, and 98%, respectively. The algorithms for beta-thalassemia discrimination revealed similar results (0.86, 74%, 98%, 75%, and 99%, respectively). We conclude that the advanced algorithms, derived from extended RBC parameters provided by the Sysmex XE5000 analyzer, are useful as laboratory anemia screening devices.

关键词： Microcytic anemia screening algorithm Iron-deficiency anemia (IDA) beta-thalassemia %MicroR %HypoHe

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Prevalence of undiagnosed type 2 diabetes in patients admitted with acute coronary syndrome: the utility of easily reproducible screening methods

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BMC ENDOCRINE DISORDERS 2017年第1期17卷 3-3页

作者： Karamat, Muhammad A. Raja, Umar Y. Manley, Susan E. Jones, Alan Hanif, Wasim Tahrani, Abd A. Birmingham Heartlands Hosp Dept Endocrinol & Diabet Birmingham W Midlands England Queen Elizabeth Hosp Dept Diabet Birmingham W Midlands England Univ Birmingham Inst Metab & Syst Sch Clin & Expt Med Birmingham B15 2TT W Midlands England Queen Elizabeth Hosp Dept Clin Chem Birmingham W Midlands England Birmingham Heartlands Hosp Dept Clin Chem Birmingham W Midlands England Birmingham Hlth Partners Ctr Endocrinol Diabet & Metab Birmingham W Midlands England

Background: Despite the recognition of the importance of diagnosing dysglycaemia in patients with acute coronary syndrome (ACS) there remains a lack of consensus on the best screening modality. Our primary aims were to determine the prevalence of undiagnosed dysglycaemia and to compare the OGTT and HbA1c criteria for diagnosis of T2DM in patients admitted to hospital with ACS at baseline and at 3-months. We also aimed to investigate the role of a screening algorithm and a predictor score to define glucose tolerance in this population. Methods: A prospective study in which patients admitted with ACS to two UK teaching hospitals were assessed at baseline and 3 months follow-up. Results: The prevalence of diabetes at baseline was 20% and 16% based on OGTT and HbA1c criteria respectively. Forty three ( 43) % of the patients with T2DM based on OGTT would have been missed by the HbA1c criteria at baseline. Our screening algorithm identified 87% of patients with T2DM diagnosed with OGTT. Diabetes Predictor score had better sensitivity (> 80%) and negative predictive value (> 90%) compared to HbA1c criteria. Two thirds of participants with IGS and a third with T2DM changed their glycaemic status at 3 months. Conclusions: Only 48% of the patients admitted with ACS had normo-glycaemia based on OGTT. OGTT and HbA1c identified two different populations of patients with dysglycaemia with the HbA1c criteria missing almost half the patients with T2DM based on OGTT. Compared to HbA1c criteria our diabetes algorithm and diabetes predictor score had a better correlation with OGTT criteria.

关键词： Acute Coronary Syndrome Oral Glucose Tolerance Test Impair Glucose Tolerance Impaired Fasting Glucose screening algorithm

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Research on the Integral Metrological Performance of Evaluation Method of Smart Electricity Meters 3

Research on the Integral Metrological Performance of Evaluat...

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3rd International Conference on Smart Grid and Smart Cities (ICSGSC)

作者： Wang Huanning Huang Yan Yao Hejun Ding Xiang Tan Hengyu Jin Senlin Beijing Inst Metrol Beijing Peoples R China

ISBN: (纸本)9781728138480

Smart electricity meters are the data bases of monitoring, auditing, counting and analyzing of energy [1]. The verification qualification rate of every single meter can be 99.99% with the fast development of electricity technology, but the risk of error drift still exists in using process. In this article we analyzed the evaluation method of metrological error of smart meters and evaluated the integral metrological level of a smart electricity meters.

关键词： Smart meter screening algorithm Remote monitoring

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Reactivation of BK polyomavirus after renal transplantation

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NEPHROLOGE 2016年第6期11卷 402-407页

作者： Korth, J. Verheyen, J. Witzke, O. Univ Duisburg Essen Univ Klinikum Essen AoR Klin Nephrol Hufelandstr 55 D-45147 Essen Germany Univ Duisburg Essen Univ Klinikum Essen AoR Inst Virol Essen Germany Univ Duisburg Essen Univ Klinikum Essen AoR Klin Infektiol Essen Germany

Background. Reactivation of the BK polyomavirus(BKPyV) leads to polyomavirusassociated nephropathy (PyVAN) in up to 10% of renal transplantion patients and is associated with transplant failure in up to 50%. The main risk factor for BKPyV reactivation is immunosuppressive therapy due to its immunosuppressive effect and drug-dependent influence on virus replication. So far there is no antiviral causal therapy for PyVAN. Aim. This review article discusses the current diagnostic steps and therapies recommended for BKPyV reactivation after renal transplantation. Conclusion. The possibility for early intervention and prevention of PyVAN progression depends on a thorough screening for BKPyV replication after renal transplantation. Transplant function can be preserved and progression of viral replication can be prevented by early adjustment of the immunosuppressive therapy determined by the viral load.

关键词： BK polyomavirus screening algorithm Polyomavirus-associated nephropathy Reduction of immunosuppression BKV-specific T-cell response

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A Metrological Risk Evaluation System of Smart Electricity Meters Based On Big Data 8

A Metrological Risk Evaluation System of Smart Electricity M...

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8th IEEE International Workshop on Electromagnetics - Applications and Student Innovation Competition (IEEE IWEM)

作者： Wang Huanning Huang Yan Yao Hejun Ding Xiang Beijing Inst Metrol Beijing Peoples R China

ISBN: (纸本)9781509063932

Smart electricity meter are the data bases of monitoring, auditing, counting and analyzing of energy [1]. At present, there are almost 400 million smart meters installed in China, although the meters put into use are qualified, the risk of error drift is still exist in the process of using, which will cause energy monitoring and statistical errors. Based on a large amount of first-check error data of the meters, we proposed a simple and effective method to analyze and evaluate the risk of error drift in the process of using.

关键词： Smart meter screening algorithm Fault screening Error drift

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Convex Optimization algorithms for Cooperative Localization in Autonomous Underwater Vehicles

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Acta Automatica Sinica 2010年第5期36卷 704-710页

作者： Ming-Yong LIU Wen-Bai LI Xuan PEI College of Marine Northwestern Polytechnical University Xi an 710072 P. R. China

In this paper, a cooperative localization algorithm for autonomous underwater vehicles (AUVs) is proposed. A “parallel” model is adopted to describe the cooperative localization problem instead of the traditional “leader-follower” model, and a linear programming associated with convex optimization method is used to deal with the problem. After an unknown-but-bounded model for sensor noise is assumed, bearing and range measurements can be modeled as linear constraints on the configuration space of the AUVs. Merging these constraints induces a convex polyhedron representing the set of all configurations consistent with the sensor measurements. Estimates for the uncertainty in the position of a single AUV or the relative positions of two or more nodes can then be obtained by projecting this polyhedron onto appropriate subspaces of the configuration space. Two different optimization algorithms are given to recover the uncertainty region according to the number of the AUVs. Simulation results are presented for a typical localization example of the AUV formation. The results show that our positioning method offers a good localization accuracy, although a small number of low-cost sensors are needed for each vehicle, and this validates that it is an economical and practical positioning approach compared with the traditional approach.

关键词： Autonomous underwater vehicle (AUV) convex optimization cooperative localization uncertainty region screening algorithm approximation algorithm

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A screening Protocol for Exploring Loop Length Requirements for the Formation of a Three Cytosine-Cytosine+Base-Paired i-Motif

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Angewandte Chemie 2023年第41期135卷

作者： Dr. Michele Ghezzo Dr. Marko Trajkovski Prof. Janez Plavec Prof. Claudia Sissi Department of Pharmaceutical and Pharmacological Science University of Padua Via Marzolo 5 35131 Padua Italy Slovenian NMR Centre National Institute of Chemistry Hajdrihova 19 1000 Ljubljana Slovenia

DNA sequences containing at least four runs of repetitive cytosines can fold into tetra-helical structures called i-Motifs (iMs). The interest in these DNA secondary structures is increasing due to their therapeutical and technological applications. Still, limited knowledge of their folding requirements is currently available. We developed a novel step-by-step pipeline for the systematic screening of putative iM-forming model sequences. Focusing on structures comprising only three cytosine-cytosine + base pairs, we investigated what the minimal lengths of the loops required for formation of an intra-molecular iM are. Our data indicate that two and three nucleotides are required to connect the strands through the minor and majorgrooves of the iM, respectively. Additionally, they highlight an asymmetric behavior according to the distribution of the cytosines. Specifically, no sequence containing a single cytosine in the first and third run was able to fold into intra-molecular iMs with the same stability of those formed when the first and the third run comprise two cytosines. This knowledge represents a step forward toward the development of prediction tools for the proper identification of biologically functional iMs, as well as for the rational design of these secondary structures as technological devices.

关键词： Calorimetry DNA i-Motif screening algorithm Spectroscopy

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