Results 41 to 50 of about 502,931 (288)
KETEPATAN KLASIFIKASI KEIKUTSERTAAN KELUARGA BERENCANA MENGGUNAKAN REGRESI LOGISTIK BINER DAN REGRESI PROBIT BINER (Study Kasus di Kabupaten Semarang Tahun 2014) [PDF]
Population growth in Indonesia has increasedeach year. According to the population sensus conducted by National Statistics Bureau in 2010, Indonesia's population reached 237,6 million.
SETIAWAN, FAJAR HERU
core
Tracking Motor Progression and Device‐Aided Therapy Eligibility in Parkinson's Disease
ABSTRACT Objective To characterise the progression of motor symptoms and identify eligibility for device‐aided therapies in Parkinson's disease, using both the 5‐2‐1 criteria and a refined clinical definition, while examining differences across genetic subgroups.
David Ledingham +7 more
wiley +1 more source
ABSTRACT Background Poststroke fatigue (PSF) and frailty share substantial overlap in their manifestations, yet previous research has yielded conflicting results due to the use of heterogeneous frailty assessment tools. Objective To evaluate the independent impact of frailty on PSF using a unified measurement system (Tilburg Frailty Indicator, TFI ...
Chuan‐Bang Chen +6 more
wiley +1 more source
A Study of Panel Logit Model and Adaptive Neuro-Fuzzy Inference System in the Prediction of Financial Distress Periods [PDF]
The purpose of this paper is to present two different approaches of financial distress pre-warning models appropriate for risk supervisors, investors and policy makers. We examine a sample of the financial institutions and electronic companies of Taiwan
Giovanis, Eleftherios
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ABSTRACT Background Apolipoprotein ε4 (APOE ε4) is a potent genetic risk factor for Alzheimer's disease (AD). However, its role in cerebral small vessel disease (CSVD) remains unclear. Given the clinical and pathological similarities between CSVD and AD, this study aimed to investigate the associations of APOE ε4 gene dosage with cognitive function and
Tingru Jin +6 more
wiley +1 more source
Binary classification with Fuzzy-Bayesian logistic regression using Gaussian fuzzy numbers
Binary classification is a critical task in pattern recognition applications in artificial intelligence and machine learning. The main weakness of binary classifiers is their sensitivity towards the imbalance in the number of observations in the binary ...
Georgios Charizanos +2 more
doaj +1 more source
Grid multi-category response logistic models. [PDF]
BackgroundMulti-category response models are very important complements to binary logistic models in medical decision-making. Decomposing model construction by aggregating computation developed at different sites is necessary when data cannot be moved ...
Jiang, Wenchao +5 more
core +1 more source
ABSTRACT Objective To compare the effectiveness and safety of tenecteplase (TNK) versus alteplase (TPA) in patients with basilar artery occlusion prior to endovascular treatment (EVT). Methods In this retrospective multicenter study (BAO‐TNK), we analyzed consecutive BAO patients from 14 U.S.
Rahul R. Karamchandani +38 more
wiley +1 more source
Flash Flood Forecasting in São Paulo Using a Binary Logistic Regression Model
This study presents a flash flood forecasting model that uses a binary logistic regression method to determine the occurrence of flash flood events in different watersheds in the city of São Paulo, Brazil.
Andrea Salomé Viteri López +1 more
doaj +1 more source
Adoption of a multiple use water system (MUWS) to ensure water security for Nepalese hill farmers
Multiple use water system (MUWS) is an approach to water services planning and design of new and rehabilitated systems. It is informed by input on people's multiple water uses, reuses, and needs at their preferred sites within communities.
Nani Raut +3 more
doaj +1 more source

