[PDF] Top 20 Los Grupos Financieros en el Ecuador - 25 Años Después
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A Comparative Study of Alzheimer’s Disease Classification using Multiple Transfer Learning Models
... called transfer learning can be used to overcome this problem which requires minimum dataset and consumes less time [10, ...11]. Transfer learning is a machine learning method where a ... See full document
9
Classification of Mild Cognitive Impairment and Alzheimer Disease Using Model Based MR and Magnetization Transfer Imaging
... complex models than with supervised ap- ...this study, explain the improved specificity of a multiparameter classification (subsets 1 and 2) compared with MTR and T2r, T2f, F, kr, kf as solitary ... See full document
41
Robust Automated Detection of Microstructural White Matter Degeneration in Alzheimer's Disease Using Machine Learning Classification of Multicenter DTI Data
... machine learning (ML) to a large multicenter sample from the recently created framework of the European DTI study on Dementia ...diagnostic classification we used the DTI indices fractional ... See full document
87
A phase Ib multiple ascending dose study of the safety, tolerability, and central nervous system availability of AZD0530 (saracatinib) in Alzheimer’s disease
... immunoblotted using a phospho-specific Stat5 antibody (Cell Signaling, Danvers, MA, USA), and then stripped and re-probed using a Stat5 antibody (SantaCruz, Dallas, TX, ... See full document
73
Perspectives on future Alzheimer therapies: amyloid-β protofibrils - a new target for immunotherapy with BAN2401 in Alzheimer’s disease
... for Alzheimer ’ s disease (AD) have no effect on disease progression, and this creates a large unmet medical ...follow-up study, patients with antibody response to the vaccine ... See full document
88
Prediction of selective estrogen receptor beta agonist using open data and machine learning approach
... of models, 5-fold cross validation was employed here. We developed 16 models based on four types of fingerprints and four ...all models were greater than ...constructed models. The excellent ... See full document
35
Cognitive reserve and clinical progression in Alzheimer diseaseA paradoxical relationship
... (median 12 months), possibly because repeated cognitive testing is more challenging at clinically advanced stages. As cognitive changes may be harder to capture over shorter follow-up durations, this could have caused a ... See full document
7
Dominantly Inherited Alzheimer Network: facilitating research and clinical trials
... those using initial DIAN data [32], have largely been cross-sectional in nature, with age or relative age used as the ...reference. Models derived from these cross-sectional analyses of the pathochronology ... See full document
12
Encephalopathy induced by Alzheimer brain inoculation in a non-human primate
... secured using dental cement ...muscles using non-absorbable polyamide ...collected using PC running Dataquest soft- ware (Data Science International, St Paul, MN, USA) linked to a receiver base ... See full document
43
For debate: substituting placebo controls in long-term Alzheimer's prevention trials
... the Alzheimer ’ s Association and the Alzheimer ’ s Drug Discovery Foundation, with participation from the US Food and Drug ...the study is coordinated by the Alzheimer ’ ... See full document
58
Classification of Emotional States in Parkinson’s Disease Patients using Machine Learning Algorithms
... previous study, researchers have focused emotional investigations in various neurological disorders such as Parkinson’s disease, Stroke, Huntington’s disease, and Alzheimer’s ...Parkinson’s ... See full document
10
Can cognitive assessment really discriminate early stages of Alzheimer’s and behavioural variant frontotemporal dementia at initial clinical presentation?
... Alzheimer’s disease (AD) are two of the most com- mon dementia syndromes affecting people under the age of 65 ...for disease management and treatment ...the disease [6, ...early disease stages ... See full document
17
The genetics of Alzheimer's disease
... Alzheimer’s disease (AD) is a complex and heterogeneous neurodegenerative disorder, classified as either early onset (under 65 years of age), or late onset (over 65 years of ... See full document
13
Imago Mundi, Imago AD, Imago ADNI
... sites using different MRI scanners from various vendors, based on a three- dimensional magnetization-prepared rapid acquisition with gradient echo scan protocol using the ADNI phan- ...imaging using ... See full document
106
Measuring instrumental activities of daily living in non-demented elderly: a comparison of the new performance-based Harvard Automated Phone Task with other functional assessments
... and/or study partner (informant) such as a family member or close ...current study, we compared the Harvard APT to two such subjective IADL scales: 1) the ADCS ADL-PI, which has been vali- dated, shown to ... See full document
9
Intelligent Classification Models for Gestational Diabetes: Comparative Study
... supervised learning algorithm for pattern recognition that first introduced by Fix and Hodges in 1951, and is still one of the most popular nonparametric models for classification problems (Fix and ... See full document
5
Genome-wide association study for variants that modulate relationships between cerebrospinal fluid amyloid-beta 42, tau, and p-tau levels
... this study is the lack of an appropriate CSF biomarker study for replication of the rQTL and ...are using a small subset of their data and methods to connect our findings to make meaningful ... See full document
121
SYNERGIC TRIAL (SYNchronizing Exercises, Remedies in Gait and Cognition) a multi-Centre randomized controlled double blind trial to improve gait and cognition in mild cognitive impairment
... measured using the Alzheimer Disease Assessment Scale Cognitive 13 and the plus modality (ADAS-Cog 13 and ...analyzed using analysis of ... See full document
16
CSF complement 3 and factor H are staging biomarkers in Alzheimer’s disease
... machine learning, and t-statistics to de- termine if CSF C3 and FH are useful staging biomarkers in ...Machine learning, Independent Training and Test set, and Null hypothesis testing, ...ML models ... See full document
30
Moderating effects of sex on the impact of diagnosis and amyloid positivity on verbal memory and hippocampal volume
... effects of A + in preclinical stages in women. Importantly, the present results do not imply that women have larger hippocampi and thus more volume to lose. Instead, they would suggest that neural reserve could be ... See full document
6
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