Relevant bibliographies by topics / Disease progression score

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers
  5. Reports

Academic literature on the topic 'Disease progression score'

Author: Grafiati
Published: 25 May 2024
Last updated: 31 July 2025

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Journal articles on the topic "Disease progression score"

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O’Charoen, Sirimon, Katherine Gilpin, Tara Fehlmann, et al. "DEVELOPMENT OF NOVEL PROGRESSION SCORE TO QUANTIFY DISEASE PROGRESSION IN CROHN’S DISEASE." Inflammatory Bowel Diseases 31, Supplement_1 (2025): S53. https://doi.org/10.1093/ibd/izae282.126.

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Abstract BACKGROUND AND AIMS Crohn’s disease (CD) is a progressive disease that often leads to complications requiring pharmaceutical and surgical interventions. There is no standard definition of disease progression. The Crohn’s & Colitis Foundation IBD Plexus program formed a Workgroup to address unmet need for CD patients who progress despite treatment. The study aimed to develop a CD progression score using longitudinal, registry data linked to claims and assess if real world data allows for categorizing CD patients with progression. METHODS CD patients in the IBD Plexus and HealthVeri
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O’Charoen, Sirimon, Katherine Gilpin, Tara Fehlmann, et al. "DEVELOPMENT OF NOVEL PROGRESSION SCORE TO QUANTIFY DISEASE PROGRESSION IN CROHN’S DISEASE." Gastroenterology 168, no. 3 (2025): S76. https://doi.org/10.1053/j.gastro.2025.01.168.

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Shan, Guogen, Xinlin Lu, Zhigang Li, Jessica Z. K. Caldwell, Charles Bernick, and Jeffrey Cummings. "ADSS: A Composite Score to Detect Disease Progression in Alzheimer’s Disease." Journal of Alzheimer's Disease Reports 8, no. 1 (2024): 307–16. http://dx.doi.org/10.3233/adr-230043.

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Background: Composite scores have been increasingly used in trials for Alzheimer’s disease (AD) to detect disease progression, such as the AD Composite Score (ADCOMS) in the lecanemab trial. Objective: To develop a new composite score to improve the prediction of outcome change. Methods: We proposed to develop a new composite score based on the statistical model in the ADCOMS, by removing duplicated sub-scales and adding the model selection in the partial least squares (PLS) regression. Results: The new AD composite Score with variable Selection (ADSS) includes 7 cognitive sub-scales. ADSS can
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Roussanov, Bisser V., Jeremy M. G. Taylor, and Janis V. Giorgi. "Calculation and use of an HIV-1 disease progression score." AIDS 14, no. 17 (2000): 2715–22. http://dx.doi.org/10.1097/00002030-200012010-00011.

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Pihlstrøm, Lasse, Kristina Rebekka Morset, Espen Grimstad, Valeria Vitelli, and Mathias Toft. "A cumulative genetic risk score predicts progression in Parkinson's disease." Movement Disorders 31, no. 4 (2016): 487–90. http://dx.doi.org/10.1002/mds.26505.

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Ungaro, R., R. Jordan, C. Yzet, et al. "P240 CDEIS score of 2 is optimal cut-off associated with lower risk of disease progression in early Crohn’s disease: Data from the CALM study." Journal of Crohn's and Colitis 14, Supplement_1 (2020): S264—S266. http://dx.doi.org/10.1093/ecco-jcc/jjz203.369.

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Abstract Background The optimal endoscopic target in early Crohn’s disease (CD) that limits long-term disease complications is unknown. Methods We analysed medical records from patients who had follow-up data since the end of CALM. Patients with Crohn’s disease endoscopic index of severity (CDEIS) scores at the end of CALM were included. The primary outcome was a composite of major adverse outcomes reflecting CD progression: new internal fistula/abscess, stricture, perianal fistula/abscess, CD hospitalisation, or CD surgery since the end of CALM. We compared median CDEIS and per cent improveme
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Kataoka, Hiroshi, and Kazuma Sugie. "Association between Fatigue and Hoehn-Yahr Staging in Parkinson’s Disease: Eight-Year Follow-Up Study." Neurology International 13, no. 2 (2021): 224–31. http://dx.doi.org/10.3390/neurolint13020023.

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The severity of Parkinson’s disease (PD) is developed by multifactorial factors. Falls can worsen disease severity. We previously found that frontal assessment battery (FAB) score was associated with a higher risk of future falls. This eight-year follow-up study aimed to verify whether factors including low FAB score can be the risk of PD progression based on the Hoehn and Yahr scale. In total, 95 patients were initially enrolled in this research and 45 were included in the final follow-up. Then, the cohort was classified into patients with and without disease progression, defined by upgrade o
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Shi, Manman, Yan Ouyang, Mingxin Yang, et al. "IgA Nephropathy Susceptibility Loci and Disease Progression." Clinical Journal of the American Society of Nephrology 13, no. 9 (2018): 1330–38. http://dx.doi.org/10.2215/cjn.13701217.

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Background and objectivesAt least 20 susceptibility loci of IgA nephropathy have been identified by genome-wide association studies to date. Whether these loci were associated with disease progression is unclear.Design, setting, participants, & measurementsWe enrolled 613 adult patients with IgA nephropathy for a follow-up of ≥12 months. All 20 IgA nephropathy susceptibility loci were selected and their tag single nucleotide polymorphisms (SNPs) were genotyped. After strict quality control, 16 SNPs and 517 patients with IgA nephropathy were eligible for subsequent analysis. Progression was
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Moore, Ursula, Marni Jacobs, Meredith K. James, et al. "Assessment of disease progression in dysferlinopathy." Neurology 92, no. 5 (2019): e461-e474. http://dx.doi.org/10.1212/wnl.0000000000006858.

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ObjectiveTo assess the ability of functional measures to detect disease progression in dysferlinopathy over 6 months and 1 year.MethodsOne hundred ninety-three patients with dysferlinopathy were recruited to the Jain Foundation's International Clinical Outcome Study for Dysferlinopathy. Baseline, 6-month, and 1-year assessments included adapted North Star Ambulatory Assessment (a-NSAA), Motor Function Measure (MFM-20), timed function tests, 6-minute walk test (6MWT), Brooke scale, Jebsen test, manual muscle testing, and hand-held dynamometry. Patients also completed the ACTIVLIM questionnaire.
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Jönsson, Linus, Milana Ivkovic, Ron Handels, et al. "OP142 Progression Analysis Versus Traditional Methods To Quantify Slowing Of Disease Progression In Alzheimer’s Disease." International Journal of Technology Assessment in Health Care 39, S1 (2023): S42. http://dx.doi.org/10.1017/s0266462323001435.

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IntroductionNew statistical methodology, known as progression models for repeated measures (PMRM), can estimate the slowing of progression (percentage slowing or time delay) of Alzheimer’s disease from trial data on disease-modifying therapies. We compared the PMRM methodology with mixed models for repeated measures (MMRM) and Cox time-to-event analysis on simulated trial data with respect to their power and interpretability of estimates.MethodsTwo novel models were included: PMRM (estimating slowing of progression and allowing different rates across visits) and proportional-slowing PMRM. Clin
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Dissertations / Theses on the topic "Disease progression score"

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Albers, Timothy W. "Development of an Objective Motor Score for Monitoring the Progression and Severity of Parkinson's Disease." PDXScholar, 2011. https://pdxscholar.library.pdx.edu/open_access_etds/104.

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This thesis describes the development of an objective motor score (OMS) of Parkinson's disease that utilizes the Quantitative Motor Assessment Tool (QMAT) developed through efforts by the Intel Corporation and the Kinetics Foundation. Parkinson's disease (PD) is a movement disorder which is a member of a group of neurodegenerative diseases marked by the depletion or impairment of dopamine-producing cells in the brain. Since PD is chronic and degenerative, treatments are intended to either improve the quality of life for sufferers by superficially treating symptoms or slow and ultimately revers
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Kmetzsch, Virgilio. "Multimodal analysis of neuroimaging and transcriptomic data in genetic frontotemporal dementia." Electronic Thesis or Diss., Sorbonne université, 2022. https://accesdistant.sorbonne-universite.fr/login?url=https://theses-intra.sorbonne-universite.fr/2022SORUS279.pdf.

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La démence frontotemporale (DFT) représente le deuxième type de démence le plus fréquent chez les adultes de moins de 65 ans. Il n’existe aucun traitement capable de guérir cette maladie. Dans ce contexte, il est essentiel d’identifier des biomarqueurs capables d’évaluer la progression de la maladie. Cette thèse a deux objectifs. Premièrement, analyser les profils d’expression des microARNs circulants prélevés dans le plasma sanguin de participants, afin d’identifier si l’expression de certains microARNs est corrélée au statut mutationnel et à la progression de la maladie. Deuxièmement, propos
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CUCOVICI, ALIONA. "The Role of Nutrition and Other Lifestyle Habits in the Progression of Amyotrophic Lateral Sclerosis: A Multicentre Cross-Sectional Study." Doctoral thesis, Università di Foggia, 2021. https://hdl.handle.net/11369/425207.

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Introduzione: La Sclerosi Laterale Amiotrofica (SLA) è una malattia del motoneurone devastante e ancora incurabile. Le cause della SLA sono sconosciute, ma fattori nutrizionali e di stile di vita come il consumo di caffè e tè, il consumo di alcol e il fumo di sigaretta possono influire sul tasso di progressione della malattia. Tuttavia, i metodi ei risultati della ricerca attualmente utilizzati (valutazione puntuale e non cumulativa di quantità/frequenza) non valutano adeguatamente l'effetto del consumo di caffè e tè, dell'assunzione di alcol e del fumo di sigaretta. Questo è uno dei motivi pe
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Plan, Elodie L. "Pharmacometric Methods and Novel Models for Discrete Data." Doctoral thesis, Uppsala universitet, Institutionen för farmaceutisk biovetenskap, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-150929.

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Pharmacodynamic processes and disease progression are increasingly characterized with pharmacometric models. However, modelling options for discrete-type responses remain limited, although these response variables are commonly encountered clinical endpoints. Types of data defined as discrete data are generally ordinal, e.g. symptom severity, count, i.e. event frequency, and time-to-event, i.e. event occurrence. Underlying assumptions accompanying discrete data models need investigation and possibly adaptations in order to expand their use. Moreover, because these models are highly non-linear,
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Book chapters on the topic "Disease progression score"

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Thushara, A., C. UshaDevi Amma, Ansamma John, and Lida Mary Victor. "Modelling Cognitive Scores for Alzheimer’s Disease Progression Prediction Using Longitudinal MRI Data." In 4th EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-07654-1_17.

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Birkeland, Peter, Victoria Hansen, Vinosha Tharmabalan, et al. "Long-Term Outcome of Moyamoya Disease." In Acta Neurochirurgica Supplement. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-89844-0_11.

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Abstract Moyamoya disease (MMD) is considered to run a progressive course, but little is known about its long-term outcomes. We conducted a structured phone interview to assess outcomes in a mixed cohort of conservatively and surgically treated patients a median of 9 years and up to 27 years after a diagnosis of MMD. We found that 60% of patients had a favorable outcome (modified Rankin Scale score <3), with only 16% of adult patients working full time. We conclude that MMD considerably impacts daily life in a substantial number of those affected, with only a minority able to provide for th
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Mohan, Sruthi, and d. S. Naganandhini. "Progression Prediction and Classification of Alzheimer’s Disease using MRI." In Computational Intelligence and Machine Learning Approaches in Biomedical Engineering and Health Care Systems. BENTHAM SCIENCE PUBLISHERS, 2022. http://dx.doi.org/10.2174/9781681089553122010014.

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Alzheimer’s disease (AD) is one of the most common neurodegenerative diseases (dementia) among the aged population. In this paper, we propose a unique machine learning-based framework to discriminate subjects with the first classification of AD. The training data, preprocessing, feature selection, and classifiers all affect the output of machine-learning-based methods for AD classification. This chapter discusses a new comprehensive scheme called Progression Prediction and Classification of Alzheimer’s Disease using MRI (PPC-AD-MRI). Considering the data gathered with T1-weighted MRI clinical
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Zhang Ningnannan, Song Xiaowei, Zhang Yunting, et al. "An MRI Brain Atrophy and Lesion Index to Assess the Progression of Structural Changes in Alzheimer's Disease, Mild Cognitive Impairment, and Normal Aging: A Follow-Up Study." In Advances in Alzheimer’s Disease. IOS Press, 2011. https://doi.org/10.3233/978-1-60750-793-2-643.

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Background: A brain atrophy and lesion index (BALI) based on high-field magnetic resonance imaging (MRI) has recently been validated to evaluate structural changes in the aging brain. The present study investigated the two-year progression of brain structural deficits in people with Alzheimer's disease (AD) and mild cognitive impairment (MCI), and in healthy control older adults (HC) using the BALI rating. Methods: T1-weighted high-resolution anatomical imaging data using 3 Tesla MRI at baseline (AD = 39, MCI = 82, HC = 58) and at 24-months were obtained from the Alzheimer's disease Neuroimagi
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Goetz, Ryan, Nitesh Kumar Jain, Humayun Anjum, and Thomas S. Kaleekal. "Lung Transplantation in Idiopathic Pulmonary Fibrosis." In Idiopathic Pulmonary Fibrosis [Working Title]. IntechOpen, 2022. http://dx.doi.org/10.5772/intechopen.105725.

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Idiopathic pulmonary fibrosis (IPF) is a progressive lung disease associated with a high degree of morbidity and mortality in its more advanced stages. Antifibrotic therapies are generally effective in delaying the progression of disease; however, some patients continue to progress despite treatment. Lung transplantation is a surgical option for selected patients with advanced pulmonary fibrosis that increases their overall survival and quality of life. Changes in the Lung Allocation Score (LAS) in 2005 have resulted in increased transplants and decreased waitlist mortality in this population.
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Steenland Kyle, Karnes Conny, Seals Ryan, Carnevale Claudine, Hermida Adriana, and Levey Allan. "Late-Life Depression as a Risk Factor for Mild Cognitive Impairment or Alzheimer's Disease in 30 US Alzheimer's Disease Centers." In Advances in Alzheimer’s Disease. IOS Press, 2015. https://doi.org/10.3233/978-1-61499-542-5-69.

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Identification of potentially modifiable risk factors for cognitive deterioration is important. We conducted a prospective study of 5,607 subjects with normal cognition and 2,500 subjects with mild cognitive impairment (MCI) at 30 Alzheimer's Disease Centers in the Unites States between 2005 and 2011. Cox regression was used to determine whether depression predicted transition from normal to MCI, or MCI to Alzheimer's disease (AD). Over an average of 3.3 visits, 15% of normal subjects transitioned to MCI (62/1000 per year), while 38% of MCI subjects transitioned to AD (146/1000 per year). At b
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Jenath, M., Y. Lalitha, A. M. Vidhyalakshmi, N. Ramya, C. V. Keerhti Latha, and Saravanan Matheswaran. "Alzheimer's Disease Prediction Using InceptionResNet Integrating Deep Learning Models." In Advances in Bioinformatics and Biomedical Engineering. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-6442-0.ch018.

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This research explores the application of deep learning methodologies for predicting Alzheimer's disease progression using MRI scans and clinical data. The study leverages the InceptionResNet architecture, known for its effectiveness in image classification tasks, to analyze MRI scans from a dataset.Patients diagnosed with Alzheimer's disease. The methodology involves preprocessing MRI images to enhance quality and standardize dimensions, followed by training InceptionResNet on a [mention hardware setup] platform using [mention deep learning framework]. Performance evaluation metrics including
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Calderón-Garcidueñas, Lilian, Partha S. Mukherjee, Randy J. Kulesza, et al. "Mild Cognitive Impairment and Dementia Involving Multiple Cognitive Domains in Mexican Urbanites." In Advances in Alzheimer’s Disease. IOS Press, 2021. http://dx.doi.org/10.3233/aiad210020.

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Exposures to fine particulate matter PM2.5 and ozone O3 are associated with Alzheimer’s disease (AD) risk. Mexico City residents have lifetime exposures to PM2.5 and O3 above annual USEPA standards and their brains contain high redox, combustion, and friction-derived magnetite nanoparticles. AD pathological changes with subcortical pre-tangle stages in infancy and cortical tau pre-tangles, NFT Stages I-II, and amyloid phases 1–2 are identified by the 2nd decade. Given their AD continuum, a reliable identification of cognitive impairment is of utmost importance. The Montreal Cognitive Assessmen
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Cerda-Reyes, Eira, Alicia Sarahi Ojeda-Yuren, Julián Torres-Vazquez, et al. "Diagnosis of Nonalcoholic Steatohepatitis." In Advances in Hepatology. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.96281.

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The prevalence of non-alcoholic fatty liver disease (NAFLD) has increased in the last years up to 25% in the adult population. This disease includes a large spectrum of disorders, from simple fatty liver disease to cirrhosis and Hepatocellular Carcinoma (HCC), and they are related to chronic metabolic conditions. NAFLD is characterized by the presence of at least 5% of hepatic steatosis without evidence of hepatocellular injury. The diagnosis of this disease should be of exclusion and focused on its progression, treatment, and identification of the prognosis. The European Association for the S
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Gundler, Christopher, Alexander Johannes Wiederhold, and Monika Pötter-Nerger. "Digitalizing Handwritten Digits of Patients with Parkinson’s Disease Utilizing Consumer Hardware and Open-Source Software." In Studies in Health Technology and Informatics. IOS Press, 2024. http://dx.doi.org/10.3233/shti240870.

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Introduction: Parkinson’s disease represents a burdensome condition with complex manifestations. A licensed, standardized paper-based questionnaire is completed by both patients and physicians to monitor the progression and state of the disease. However, integrating the obtained scores into digital systems still poses a challenge. Methods: Paper-based handwriting is intuitive and an efficient mode of human-computer interaction. Accordingly, we transformed a consumer-grade tablet into a device where an exact digital copy of the disease-specific questionnaire can be filled with the supplied pen.
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Conference papers on the topic "Disease progression score"

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Hoori, Ammar, Juhwan Lee, Robert Gilkeson, Sadeer Al-Kindi, Sanjay Rajagopalan, and David L. Wilson. "Prediction of major adverse cardiovascular events (MACE) from disease progression in low-cost (no-cost) screening CT calcium score images." In Clinical and Biomedical Imaging, edited by Barjor S. Gimi and Andrzej Krol. SPIE, 2025. https://doi.org/10.1117/12.3047388.

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Youssef, Hossam, Nihas Mateti, Demirer Mutlu, et al. "Framingham Risk Score and White Matter Disease Progression (P11-5.009)." In 2023 Annual Meeting Abstracts. Lippincott Williams & Wilkins, 2023. http://dx.doi.org/10.1212/wnl.0000000000202478.

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Volkova-Volkmar, Ekaterina, Louis-Solal Giboin, Cedric Simillion, Peter McColgan, and Jonas Dorn. "F030 Disease progression of individuals with Huntington’s disease (HD) assessed via the HD digital motor score." In EHDN and Enroll-HD 2024 abstracts. BMJ Publishing Group Ltd, 2024. http://dx.doi.org/10.1136/jnnp-2024-ehdn.148.

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Mourão, Lucas, Maria Carthery Goulart, Isabel de Almeida, Peter Garrard, and Sônia Brucki. "VALIDATION OF THE MINI LINGUISTIC STATE EXAMINATION (MLSE) TO BRAZILIAN PORTUGUESE: TASKS INTELLIGIBILITY PILOT STUDY." In XIII Meeting of Researchers on Alzheimer's Disease and Related Disorders. Zeppelini Editorial e Comunicação, 2021. http://dx.doi.org/10.5327/1980-5764.rpda109.

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Background: The Mini Linguistic State Examination (MLSE) was developed in British English as a 20-minutes Primary Progressive Aphasia (PPA) screening test (Garrard, P. et al, 2012). Its tasks are: picture naming; listening comprehension of sentence; comprehension of single word; word repetition; sentence repetition; reading; writing; semantic association; and figure description. The MLSE was later translated to Italian and Spanish (Patel, N. et al, 2020) due to the following features: applicability by clinicians without expertise in language; sensitivity for diagnosis, distinction and progress
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Socher, Karen, Douglas Nunes, Deborah Lopes, et al. "VISUAL MEDIAL TEMPORAL ATROPHY SCALES IN CLINICIAN PRACTICE." In XIII Meeting of Researchers on Alzheimer's Disease and Related Disorders. Zeppelini Editorial e Comunicação, 2021. http://dx.doi.org/10.5327/1980-5764.rpda102.

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Background: Visual atrophy scales from the medial temporal region are auxiliary biomarker methods in Alzheimer’s Disease(AD).They may correlated with progression from preclinical to clinical AD. Objective: We aimed to compare medial temporal lobe atrophy (MTA) and entorhinal cortex atrophy (ERICA) scales for magnetic resonance image as a useful tool for probable AD diagnosis and evaluate their accuracy, sensitivity and specificity, regarding clinical diagnosis and 11C-PIB-PET. Methods: 2 neurologists blinded to diagnosis classified 113 adults (over 65y) through MTA and ERICA scales and correla
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Masson, Gabriel, Kaio Viana, Sebastião Rogério da Silva Neto, et al. "Predicting Chronic Phase Progression in Chikungunya Patients Using Machine Learning Models." In Simpósio Brasileiro de Sistemas de Informação. Sociedade Brasileira de Computação, 2025. https://doi.org/10.5753/sbsi.2025.246401.

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Context: This research is set within the domain of neglected tropical diseases, specifically focusing on Chikungunya, a mosquito-borne viral disease. The study is motivated by the prevalence of Chikungunya in Brazil and the challenges associated with its chronic symptoms. Problem: The primary issue addressed is the difficulty in predicting which patients with acute Chikungunya will progress to the chronic phase. This progression leads to prolonged joint pain and other severe symptoms, affecting quality of life. Solution: We evaluate machine learning models, trained to predict the likelihood of
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Curtis, JR, CH Brahe, M. Ostergaard, et al. "THU0091 High multi-biomarker disease activity score is associated with high risk of radiographic progression in six studies." In Annual European Congress of Rheumatology, 14–17 June, 2017. BMJ Publishing Group Ltd and European League Against Rheumatism, 2017. http://dx.doi.org/10.1136/annrheumdis-2017-eular.5557.

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Neumann, Michael, Hardik Kothare, and Vikram Ramanarayanan. "Combining Multiple Multimodal Speech Features into an Interpretable Index Score for Capturing Disease Progression in Amyotrophic Lateral Sclerosis." In INTERSPEECH 2023. ISCA, 2023. http://dx.doi.org/10.21437/interspeech.2023-2100.

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Zia Ur Rehman, Rana, Lynn Rochester, Alison J. Yarnall, and Silvia Del Din. "Predicting the Progression of Parkinson’s Disease MDS-UPDRS-III Motor Severity Score from Gait Data using Deep Learning." In 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). IEEE, 2021. http://dx.doi.org/10.1109/embc46164.2021.9630769.

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Pechlivanis, S., N. Lehmann, R. Erbel, KH Jöckel, M. Nöthen, and S. Moebus. "Role of Polygenic Risk Score for Coronary Artery Disease and its Traditional Risk Factors with Progression of Coronary Artery Calcification." In Gemeinsam forschen – gemeinsam handeln. Georg Thieme Verlag KG, 2017. http://dx.doi.org/10.1055/s-0037-1605856.

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Reports on the topic "Disease progression score"

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Albers, Timothy. Development of an Objective Motor Score for Monitoring the Progression and Severity of Parkinson's Disease. Portland State University Library, 2000. http://dx.doi.org/10.15760/etd.104.

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