Suchergebnisse - "Random forest algorithm"

Subtyping cognitive profiles in Autism Spectrum Disorder using a Functional Random Forest algorithm von Feczko, E., Balba, N.M., Miranda-Dominguez, O., Cordova, M., Karalunas, S.L., Irwin, L., Demeter, D.V., Hill, A.P., Langhorst, B.H., Grieser Painter, J., Van Santen, J., Fombonne, E.J., Nigg, J.T., Fair, D.A.

“… Our RF model was 72.7% accurate, with 80.7% specificity and 63.1% sensitivity. Using the random forest model, the FRF then measures the proximity of each subject to every other subject, generating a distance matrix between participants …”
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Classification of healthy and diseased retina using SD-OCT imaging and Random Forest algorithm von Hussain, Md Akter, Bhuiyan, Alauddin, D. Luu, Chi, Theodore Smith, R., H. Guymer, Robyn, Ishikawa, Hiroshi, S. Schuman, Joel, Ramamohanarao, Kotagiri

“… In this paper, we propose a novel classification model for automatically identifying individuals with age-related macular degeneration (AMD) or Diabetic …”
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How random is the random forest? Random forest algorithm on the service of structural imaging biomarkers for Alzheimer's disease: from Alzheimer's disease neuroimaging initiative (ADNI) database von Dimitriadis, Stavros, Liparas, Dimitris

“… Neuroinformatics is a fascinating research field that applies computational models and analytical tools to high dimensional experimental neuroscience data for …”
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Deposit type discrimination of Jiaodong gold deposits using random forest algorithm: Constraints from trace elements of pyrite von Chen, Yang, Li, Tongfei, Fu, Bin, Xia, Qinglin, Liu, Qiankun, Li, Taotao, Yang, Yizeng, Huang, Yufeng

“… •The use of pyrite trace elements and random forest algorithm can effectively distinguish between these two types of gold deposits …”
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Modeling of Tunnel Boring Machine Performance Employing Random Forest Algorithm von Gokceoglu, C., Bal, C., Aladag, C. H.

“… Prediction of tunnel boring machine (TBM) performance is still a challenging research subject in engineering geology, geotechnical engineering, and tunnel engineering communities …”
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Is the Random Forest Algorithm Suitable for Predicting Parkinson’s Disease with Mild Cognitive Impairment out of Parkinson’s Disease with Normal Cognition? von Byeon, Haewon

“… We analyzed 96 subjects …”
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Assisted Gait Phase Estimation Through an Embedded Depth Camera Using Modified Random Forest Algorithm Classification von Pasinetti, Simone, Fornaser, Alberto, Lancini, Matteo, De Cecco, Mariolino, Sansoni, Giovanna

“… The paper presents a novel method for the classification of gait phases for power gait orthosis users based on machine learning. The classification uses depth …”
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Utilizing the random forest algorithm and interpretable machine learning to inform post-stratification of commercial fisheries data von Gasper, Jason, Cahalan, Jennifer

“… Federal groundfish fisheries off Alaska are managed based on near-real time estimates of catch generated using a combination of data from the North Pacific …”
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Random-Forest-Algorithm-Based Applications of the Basic Characteristics and Serum and Imaging Biomarkers to Diagnose Mild Cognitive Impairment von Yang, Juan, Sui, Haijing, Jiao, Ronghong, Zhang, Min, Zhao, Xiaohui, Wang, Lingling, Deng, Wenping, Liu, Xueyuan

“… All the subjects were scanned with 1.5T MRI (GE Healthcare, WI, USA) to obtain DWI, DTI, and ASL images …”
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Using random forest algorithm for glomerular and tubular injury diagnosis von Song, Wenzhu, Zhou, Xiaoshuang, Duan, Qi, Wang, Qian, Li, Yaheng, Li, Aizhong, Zhou, Wenjing, Sun, Lin, Qiu, Lixia, Li, Rongshan, Li, Yafeng

“… of CKD.MethodsDemographic information, physical examination, blood, and morning urine samples were first collected from 13,550 subjects in 10 counties in Shanxi province for classification of GI and TI …”
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Application of a random forest algorithm that considers barometric pressure in GNSS-R sea surface wind speed retrieval von Ma, Yi, Wang, Yifan, Wang, Guofang, Geng, Hao, Chen, Yuan

“… Taking the Hawaiian Islands and the peripheral waters as the subject, the research conducts a systematic analysis of the spatial-temporal variation characteristics of wind speeds …”
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Optimizing random forest algorithm to classify player’s memorisation via in-game data von Alzuhdi, Akmal Vrisna, Ar Rosyid, Harits, Chuttur, Mohammad Yasser, Nazir, Shah

“… Assessment of a player's knowledge in game education has been around for some time. Traditional evaluation in and around a gaming session may disrupt the …”
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Utilizing random forest algorithm for early detection of academic underperformance in open learning environments von Balabied, Shikah Abdullah Albriki, Eid, Hala F.

“… This scalability has led to the development of OLEs that cover a wide range of subjects and disciplines, from computer science and engineering to humanities and social sciences …”
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Random Forest Algorithm-Based Ultrasonic Image in the Diagnosis of Patients with Dry Eye Syndrome and Its Relationship with Tear Osmotic Pressure von Jiang, Lei, Sun, Shanshan, Chen, Juan, Sun, Zhuo

“… Specifically, 100 patients with dry eye syndrome were selected as the research subjects, and they were divided into group …”
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A diagnostic model of nerve root compression localization in lower lumbar disc herniation based on random forest algorithm and surface electromyography von Wang, Hujun, Wang, Yingpeng, Li, Yingqi, Wang, Congxiao, Qie, Shuyan

“… ) algorithm for localization diagnosis of compressed nerve root in LDH patients. Fifty-eight patients with LDH and thirty healthy subjects were recruited …”
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Comparing and Predicting Hepatic Encephalopathy Complications Using Random Forest Algorithm in Active Men von Tartibian, Bakhtyar, Fasihi, Leila, Eslami, Rasoul, Fasihi, Ahmad

“… ) and 402 inactive men (210 healthy people and 192 people with encephalopathy symptoms) were selected as study subjects …”
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Construction of an auxiliary scoring model for myelosuppression in patients with lung cancer chemotherapy based on random forest algorithm von Dong, Yingjun, Hu, Changqing, Liu, Jun, Lv, Huifang

“… To construct an auxiliary scoring model for myelosuppression in patients with lung cancer undergoing chemotherapy based on a random forest algorithm, and to evaluate the predictive performance of the model …”
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Random forest algorithm to identify factors associated with sports-related dental injuries in 6 to 13-year-old athlete children in Hamadan, Iran-2018 -a cross-sectional study von Farhadian, Maryam, Torkaman, Sima, Mojarad, Farzad

“… Background Traumatic dental injuries are one of the most important problems with major physical, aesthetic, psychological, social, functional and therapeutic …”
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Subtyping Cognitive Profiles in Autism Spectrum Disorder Using a Random Forest Algorithm von Feczko, E, Balba, N, Miranda-Dominguez, O, Cordova, M, Karalunas, SL, Irwin, L, Demeter, DV, Hill, AP, Langhorst, BH, Painter, Grieser J, Van Santen, J, Fombonne, EJ, Nigg, JL, Fair, DA

“… Our RF model was 72.7% accurate, with 80.7% specificity and 63.1% sensitivity. Using the RF model, we measured the proximity of each subject to every other subject, generating …”
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Feature Specific Optimal Random Forest Algorithm for Enhancing Classification Accuracy

“… we first present another variety of Optimal irregular Forest reliant on a direct classifier, by then build up a group classifier subject to the blend of a brisk neural Network (NN …”
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