Добірка наукової літератури з теми "Random Forrest"
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Статті в журналах з теми "Random Forrest":
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T. Sadiq‎, Ahmed, and Karrar Shareef Musawi. "Modify Random Forest Algorithm Using Hybrid Feature Selection Method." International Journal on Perceptive and Cognitive Computing 4, no. 2 (December 18, 2018): 1–6. http://dx.doi.org/10.31436/ijpcc.v4i2.59.
Анотація:
The Importance of Random Forrest(RF) is one of the most powerful ‎methods ‎of ‎machine learning in ‎Decision Tree.‎ The Proposed hybrid feature selection for Random Forest depend on ‎two ‎measure ‎‎Information Gain and Gini Index in varying percentages ‎based on ‎weight.‎ In this paper, we tend to ‎propose a modify Random Forrest†â€â€Žalgorithm named ‎Random Forest algorithm using hybrid ‎feature ‎‎selection ‎that uses hybrid feature ‎selection instead of ‎using ‎one feature selection. The ‎main plan is to ‎computation the ‎‎ Information ‎Gain for all random selection ‎feature then search for ‎the best split ‎‎point in ‎the node that gives the best ‎value for a hybrid ‎equation with ‎Gini Index. ‎The experimental results on the ‎dataset ‎showed that the proposed ‎modification is ‎better than the classic Random ‎Forest compared to ‎the standard static Random ‎Forest the hybrid feature ‎‎selection Random Forrest shows significant ‎improvement ‎in accuracy measure.‎
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Sekhar, Ch Ravi, Minal, and E. Madhu. "Mode Choice Analysis Using Random Forrest Decision Trees." Transportation Research Procedia 17 (2016): 644–52. http://dx.doi.org/10.1016/j.trpro.2016.11.119.
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Cherednikov, Evgeniy, Sergey Barannikov, Igor Yuzefovich, Galina Polubkova, Yuri Maleev, Irina Volkova, Anastasiya Vysotskaya, Oleg Strygin, and Evgeniy Ovsyannikov. "Innovative Endoscopic Technologies in the Complex Treatment of Patients with Unstable Stopped Gastroduodenal Bleeding." International Journal of Biomedicine 11, no. 1 (March 5, 2021): 24–28. http://dx.doi.org/10.21103/article11(1)_oa4.
Анотація:
Background: The aim of our research was to improve the results of treatment of patients with unstable bleeding gastroduodenal ulcers (GDUs) through the use of innovative endoscopic technologies in the complex treatment of gastroduodenal bleeding (GDB). Methods and results: The study included 132 patients with unstable ulcerative GDB. Among all patients with GDB, there were 95(71.96%) men and 37(28.04%) women. The average age of patients was 56.1±18.45 years. Among the sources of gastroduodenal ulcer bleeding, duodenal ulcers complicated by bleeding predominated were observed in 77(58.3%) patients, bleeding gastric ulcers and ulcers of gastroenteroanastomosis areas in 49(37.7%) and 6(4.6%) patients, respectively. According to the endoscopic classification (J. Forrest, 1974), continued bleeding (Forrest Ia-Ib) was observed in 44(33.3%) patients, threat of rebleeding (Forrest IIa-IIb) in 88(66.7%) patients. All patients were divided, by random sampling, into two equivalent groups: the main group (MG, n=66) and the comparison group (CG, n=66). In the treatment of MG patients, an individual approach was applied that used the injection of ε-aminocaproic acid, argon-plasma coagulation, and the endoscopic pneumatic applications of hemostatic agents (Zhelplastan and the patient's platelet-rich auto-plasma) and granular sorbents (Aseptisorb-A, Aseptisorb-D). In CG, traditional methods of endoscopic hemostasis (injection method with ε-aminocaproic acid and vasoconstrictor drugs, argon plasma coagulation, etc.) were used without granular sorbents and innovative hemostatic agents. In patients with the Forrest Ia-Ib bleeding, primary EH was achieved in 95.2% of cases in the MG and in 91.3% of cases in the CG (P>0.05). In patients with the Forrest IIa-IIb bleeding, effectiveness of endoscopic prevention of recurrent bleeding was achieved in 95.5% of cases in the MG and in 81.4% of cases in the CG (P=0.047). Mortality rate was 1.5% in the MG and 4.5% in the CG (P>0.05). In the MG and CG, the overall frequency of recurrent bleeding from GDUs, the operational activity, and the length of hospital stay were 15.2% and 4.5% (P=0.041), 12.1% and 1.5% (P=0.033), and 11.1±0.6 days and 9.2±0.4 days (P<0.01), respectively. Conclusion: The developed method for the complex treatment of patients with unstable GDB, based on the optimization of emergency and preventive endoscopic hemostasis, indicates that the use of therapeutic endoscopy to prevent bleeding recurrences with hemostatic agents and granular sorbents improves the reliability of endoscopic hemostasis, reduces the frequency of hemorrhage relapses and the number of emergency operations, as well as a length of hospital stay.
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Islam, Tanvirul, Nadim Ahmed, and Subhenur Latif. "An evolutionary approach to comparative analysis of detecting Bangla abusive text." Bulletin of Electrical Engineering and Informatics 10, no. 4 (August 1, 2021): 2163–69. http://dx.doi.org/10.11591/eei.v10i4.3107.
Анотація:
The use of Bangla abusive texts has been accelerated with the progressive use of social media. Through this platform, one can spread the hatred or negativity in a viral form. Plenty of research has been done on detecting abusive text in the English language. Bangla abusive text detection has not been done to a great extent. In this experimental study, we have applied three distinct approaches to a comprehensive dataset to obtain a better outcome. In the first study, a large dataset collected from Facebook and YouTube has been utilized to detect abusive texts. After extensive pre-processing and feature extraction, a set of consciously selected supervised machine learning classifiers i.e. multinomial Naïve Bayes (MNB), multi layer perceptron (MLP), support vector machine (SVM), decision tree, random forrest, stochastic gradient descent (SGD), ridge, perceptron and k-nearest neighbors (k-NN) has been applied to determine the best result. The second experiment is conducted by constructing a balanced dataset by random under sampling the majority class and finally, a Bengali stemmer is employed on the dataset and then the final experiment is conducted. In all three experiments, SVM with the full dataset obtained the highest accuracy of 88%.
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Rašajski, Nemanja. "PRIMENA METODA MAŠINSKOG UČENJA ZA AUTOMATSKU KLASIFIKACIJU MUZIKE PO ŽANRU." Zbornik radova Fakulteta tehničkih nauka u Novom Sadu 34, no. 01 (December 19, 2018): 25–28. http://dx.doi.org/10.24867/01be05rasajski.
Анотація:
Muzički žanrovi su konvencionalne kategorije koje se koriste za opisivanje muzike. Danas se najčešće koriste za klasifikaciju rastućeg broja muzičkih numera, koja bi dalje trebalo da omogući precizniju preporuku i jednostavniju pretragu muzike. U radu je analizirano nekoliko metoda i strategija za automatsku klasifikaciju muzike uključujući konvolucione neuronske mreže (Convolutional neural network – CNN), rekurente neuronske mreže (Reccurent neural network – RNN), mašine potpornih vektora (Support vecotor machines – SVM), random forrest (RF), AdaBoost kao i One vs. Rest (OVR) i klasifikaciju glasanjem. Muzičke numere klasifikovane su na osnovu mel-frequency cepstrum coefficients (MFCC) predstave audio zapisa, a za potrebe CNN-a korišćen je spektrogram. Ostvareni rezultati (~60%) se mogu porediti sa tačnošću (~70%) sa kojom su ljudi u stanju da ispravno procene muzički žanr kao i sa rezultatima ostvarenim u radovima koji su se bavili sličnom temom na istom skupu podataka. Obzirom da preciznost ostvarena u radu nije daleko od procene ljudi, metode bi mogle naći primenu u automatskoj klasifikaciji muzike za potrebe radio stanica ili web sajtova koji se bave distribuiranjem i preporukom muzičkih numera.
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Karami, Keyvan, Mahboubeh Akbari, Mohammad-Taher Moradi, Bijan Soleymani, and Hossein Fallahi. "Survival prognostic factors in patients with acute myeloid leukemia using machine learning techniques." PLOS ONE 16, no. 7 (July 21, 2021): e0254976. http://dx.doi.org/10.1371/journal.pone.0254976.
Анотація:
This paper identifies prognosis factors for survival in patients with acute myeloid leukemia (AML) using machine learning techniques. We have integrated machine learning with feature selection methods and have compared their performances to identify the most suitable factors in assessing the survival of AML patients. Here, six data mining algorithms including Decision Tree, Random Forrest, Logistic Regression, Naive Bayes, W-Bayes Net, and Gradient Boosted Tree (GBT) are employed for the detection model and implemented using the common data mining tool RapidMiner and open-source R package. To improve the predictive ability of our model, a set of features were selected by employing multiple feature selection methods. The accuracy of classification was obtained using 10-fold cross-validation for the various combinations of the feature selection methods and machine learning algorithms. The performance of the models was assessed by various measurement indexes including accuracy, kappa, sensitivity, specificity, positive predictive value, negative predictive value, and area under the ROC curve (AUC). Our results showed that GBT with an accuracy of 85.17%, AUC of 0.930, and the feature selection via the Relief algorithm has the best performance in predicting the survival rate of AML patients.
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Liu, Steve, Paochee Moua, Selam Monjor, and Evan J. Zasowski. "262. A Systematic Review and Meta-Analysis of the Impact of Delayed Appropriate Antibiotic Therapy on Mortality in Patients with Gram-Positive Bacteremia." Open Forum Infectious Diseases 7, Supplement_1 (October 1, 2020): S130. http://dx.doi.org/10.1093/ofid/ofaa439.306.
Анотація:
Abstract Background Antibiotic resistance is common and frequently leads to unintentional delays in appropriate antibiotic therapy. The detrimental impact of delayed therapy is well-accepted, but the majority of evidence focuses on gram-negative infections. A review and synthesis of the evidence evaluating the impact of delayed appropriate antibiotic therapy in serious gram-positive infections does not exist. Such data would define the scope of the problem in this important patient population where antibiotic resistance is common. The objective of this systematic review and meta-analysis was to assess the impact of delayed appropriate antibiotic therapy on mortality in patients with gram-positive bacteremia. Methods Pubmed and Embase were searched from inception to March 30, 2020 to identify clinical studies of patients with bacteremia due to staphylococci, enterococci, or streptococci that reported the association between delayed appropriate antibiotic therapy and mortality. Three independent reviewers screened search results. Study quality was assessed via Newcastle-Ottawa Assessment Scale. Meta-analyses evaluating association between delayed therapy and mortality were conducted via random effects models in Review Manager 5.3. The primary analysis included unadjusted effect estimates from studies reporting unadjusted data. Secondary analysis included adjusted effect estimates from studies adjusting for confounding. Results Of 3684 search results, 16 cohort studies encompassing 4173 bacteremias were included. Ten studies involved S. aureus, 5 enterococci, and 2 S. pneumoniae. One-third (33.7%) of the 3659 patients in the primary analysis received delayed appropriate antibiotic therapy. The primary meta-analysis of 15 studies reporting unadjusted data showed a statistically significant association between delayed therapy and mortality (figure 1). Results from secondary analysis using adjusted point estimates from 9 studies were similar (figure 2). Figure 1. Forrest plot of meta-analysis of unadjusted association between delayed therapy and mortality Figure 2. Forrest plot of meta-analysis of covariate adjusted association between delayed therapy and mortality Conclusion Delayed appropriate therapy was common and associated with increased mortality in patients with gram-positive bacteremia. These findings underscore the need for continued antimicrobial stewardship efforts to ensure expeditious appropriate antibiotic therapy for patients with gram-positive bacteremia. Disclosures All Authors: No reported disclosures
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Adi, Joko Swasono, Sudarmadji Sudarmadji, and Wachju Subchan. "The spesies composition and distribution pattern of Gastropod at Forrest Mangrove Block Bedul Segoro Anak, Alas Purwo National Park." Jurnal ILMU DASAR 14, no. 2 (July 16, 2014): 99. http://dx.doi.org/10.19184/jid.v14i2.626.
Анотація:
This research aims to determine the spesies compossition and distribution pattern of Gastropod and its relationship with abiotic factors (pH, salinity, soil texture, and organic content of the soil, and the high of tide of the eustuary area) in the Mangrove forest at Blok Beduk Segoro Anak Alas Purwo National Park. This research was conducted on February 2013. Data was taken four times using a week time interval during one month. Every observation covered eight stations, where station 1 to station 4 consist of four transects and 40 plots, while station 5 to station 8 consist of 3 transects with 42 plots and each plot was 5 m × 5 m. Gastropod observed from each plot are preserved with 70% alcohol and identified in Malakologi Laboratory, Indonesian Institute of Sciences (LIPI). Results of the research reveated that the Gastropod observed consist of 19 families and 37 species, and the dominant family is Ceritidae. The Diversity index of Shanon Wiener was 0.53 (low deversity). Two available of Distribution pattern, group (Canarium labiatum, Cassidula nucleus, Cerithium coralium, Chicoreus brunneus, Cassidula vespertilionis, Cerithidea cingulata, Cerithidea quadrata, Chicoreus capucinus,Conus rattus, Conus striolatus, Ellobium aurisjudae, Littorina carinifera, Littorina scabra, Monodonta labio, Nassarius melanoides, Nassarius olivaceus, Nerita balteata, Nerita planospira, Nerita undata, Pugilina ternatana, Sphaerassiminea miniata, Telescopium telescopium, Terebralia sulcata, Thais intermedia), random (Angaria delphinus, Conus catus, Conus omaria, Cymatium moniliferum, Erronea errones, Oliva oliva, Polinices aurantius, Pollia undosa, Tectus pyramis, Trochus californicus, Turbo argyrostoma). The abiotic factors had relatianship not significantly (p = 0.067) on Gastropod distribution pattern. Keywords : Distribution pattern,Gastropod, species compossition
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Arasaradnam, Ramesh P., Michael McFarlane, Emma Daulton, Erik Westenbrink, Nicola O’Connell, Subiatu Wurie, Chuka U. Nwokolo, Karna D. Bardhan, Richard S. Savage, and James A. Covington. "Non-Invasive Distinction of Non-Alcoholic Fatty Liver Disease using Urinary Volatile Organic Compound Analysis: Early Results." Journal of Gastrointestinal and Liver Diseases 24, no. 2 (June 1, 2015): 197–201. http://dx.doi.org/10.15403/jgld.2014.1121.242.ury.
Анотація:
Background & Aims: Non-Alcoholic Fatty Liver Disease (NAFLD) is the commonest cause of chronic liver disease in the western world. Current diagnostic methods including Fibroscan have limitations, thus there is a need for more robust non-invasive screening methods. The gut microbiome is altered in several gastrointestinal and hepatic disorders resulting in altered, unique gut fermentation patterns, detectable by analysis of volatile organic compounds (VOCs) in urine, breath and faeces. We performed a proof of principle pilot study to determine if progressive fatty liver disease produced an altered urinary VOC pattern; specifically NAFLD and Non-Alcoholic Steatohepatitis (NASH).Methods: 34 patients were recruited: 8 NASH cirrhotics (NASH-C); 7 non-cirrhotic NASH; 4 NAFLD and 15 controls. Urine was collected and stored frozen. For assay, the samples were defrosted and aliquoted into vials, which were heated to 40±0.1°C and the headspace analyzed by FAIMS (Field Asymmetric Ion Mobility Spectroscopy). A previously used data processing pipeline employing a Random Forrest classification algorithm and using a 10 fold cross validation method was applied.Results: Urinary VOC results demonstrated sensitivity of 0.58 (0.33 - 0.88), but specificity of 0.93 (0.68 - 1.00) and an Area Under Curve (AUC) 0.73 (0.55 -0.90) to distinguish between liver disease and controls. However, NASH/NASH-C was separated from the NAFLD/controls with a sensitivity of 0.73 (0.45 - 0.92), specificity of 0.79 (0.54 - 0.94) and AUC of 0.79 (0.64 - 0.95), respectively.Conclusions: This pilot study suggests that urinary VOCs detection may offer the potential for early non-invasive characterisation of liver disease using 'smell prints' to distinguish between NASH and NAFLD.
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Fairchild, Alysa, Kristin Harris, Elizabeth Barnes, Rebecca Wong, Stephen Lutz, Andrea Bezjak, Patrick Cheung, and Edward Chow. "Palliative Thoracic Radiotherapy for Lung Cancer: A Systematic Review." Journal of Clinical Oncology 26, no. 24 (August 20, 2008): 4001–11. http://dx.doi.org/10.1200/jco.2007.15.3312.
Анотація:
Purpose The optimal dose of radiotherapy (RT) to palliate symptomatic advanced lung cancer is unclear. We systematically reviewed randomized controlled trials (RCTs) of palliative thoracic RT. Methods RCTs comparing two or more dose fractionation schedules were reviewed using the random-effects model of a freely available information management system. The relative risk and 95% CI for each outcome were presented in Forrest plots. Exploratory analysis comparing dose schedules after conversion to the time-adjusted biologically equivalent dose (BED) was performed to investigate for a dose-response relationship. Results A total of 13 RCTs involving 3,473 randomly assigned patients were identified. Outcomes included symptom palliation, overall survival, toxicity, and reirradiation rate. For symptom control in assessable patients, lower-dose (LD) RT was comparable with higher-dose (HD), except for the total symptom score (TSS): 65.4% of LD and 77.1% of HD patients had improved TSS (P = .003). Greater likelihood of symptom improvement was seen with schedules of 35 Gy10 versus lower BED. At 1 year after HD and LD RT, 26.5% versus 21.7% of patients were alive, respectively (P = .002). Sensitivity analysis suggests this survival improvement was seen with 35 Gy10 BED schedules compared with LDs. Physician-assessed dysphagia was significantly greater in the HD arm (20.5% v 14.9%; P = .01), and the likelihood of reirradiation was 1.2-fold higher after LD RT. Conclusion No significant differences were observed for specific symptom-control end points, although improvement in survival favored HD RT. Consideration of palliative thoracic RT of at least 35 Gy10 BED may therefore be warranted, but must be weighed against increased toxicity and greater time investment.
Дисертації з теми "Random Forrest":
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Edlund, Fredrik. "GIS-baserad analys och validering av habitattyper efter dammutrivning." Thesis, Karlstads universitet, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-84563.
Анотація:
Efter att EU införde ett ramverk år 2000 rörande regionens vattenanvändning, vattendirektivet, beslöt Sveriges regering att från och med sommaren 2020 ompröva rikets vattendammar. I de fall rådande vattenanvändning inte uppfyller de krav som anges i ramverket kan dammutrivning bli aktuellt. Syftet med studien är undersöka och utveckla en metod att utvärdera förändringar av strömhabitat uppströms ett vattendrag efter en dammutrivning. Studieområdet utgörs och begränsas av datamängden i form av flygfoton insamlade med UAV vid två tillfällen över samma område. Även batymetriska data över vattendragets botten från en bottenskanning har använts således även Lantmäteriets nationella höjdmodell. Två fotogrammetriprogram användes i arbetet, dels för att skapa en ortomosaik från flygfoton men även för att utföra en bildnormalisering. GIS programvaran ArcGIS Pro tillhandahåller flera algoritmer för klassificering av raster. Algoritmerna SVM och RT, viktades mot varandra och SVM användes vidare i metoden. Med olika generaliserings-verktyg kunde strömhabitat identifieras och förstärkas. Även olika terrängmodeller skapades från flygfoton och Lantmäteriets nationella höjdmodell. Dessa granskades mot varandra utifrån olika aspekter som variationer i bland annat detaljrikedom, generaliseringsgrad och återspeglandet av vattenytan. Slutsatsen av studien är att klassificering av strömhabitat kan göras i ett GIS-program med en lägesosäkerhet på mellan 25 och 40 %, beroende på vilka strömhabitat som ska klassificeras. Efter utrivningen uppstod 17 zoner med förändrade strömhabitat vilket var två mer än vad prognoser förutsatt. Vidare påverkades vattenvolymen markant då en minskning på ca 40 % skedde från 2018 till 2020. En areal av ca 1,5 hektar berördes då gammal älvbotten blev torrlagd i samband med dammutrivningen. Ett samband syntes mellan avståndet från kraftverket och torrlagd botten då dessa ytor sågs minska i storlek i takt med att avståndet ökade. Att undersöka vart vattennivån påverkats som mest var inte möjligt i brist på data. Studien har utvecklat en metod att analysera en dammutrivnings påverkan på ett vattendrag med data från UAV och bottenskanning.
Тези доповідей конференцій з теми "Random Forrest":
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Kropf, Martin, Dieter Hayn, and G�nter Schreier. "ECG Classification Based on Time and Frequency Domain Features Using Random Forrests." In 2017 Computing in Cardiology Conference. Computing in Cardiology, 2017. http://dx.doi.org/10.22489/cinc.2017.168-168.
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Milazzotto, F., M. Carelli, C. Citone, G. Di Macro Tullio, G. C. Gambelli, P. Giampaolo, U. Malinconico, C. Polizzi, and U. Cornelli. "EFFECTIVENESS OF DEFIBROTIDE IN THE TREATMENT OF ACUTE MYOCARDIAL INFARCTION." In XIth International Congress on Thrombosis and Haemostasis. Schattauer GmbH, 1987. http://dx.doi.org/10.1055/s-0038-1643146.
Анотація:
Defibrotide (D) is an extractive polydesoxyribonucleotide. In preclinical studies the product was shown to be active as a pro -fibrinolytic, antithrombotic and thrombolytic agent while comply tely devoid of anticoagulant activity. In animal models, D was found to afford striking protection from the effects of acute lethal and non lethal myocardial ischemia as well as from myo -cardial injury following reperfusion. In this open single - blim trial, D was administered to patients with acute myocardial infaj ction (AMI) for the prevention of complicating arrhythmias; throy bus formation, pericarditis, etc.Sixty patients with AMI were divided randomly into two groups of 30 patients each. One group was treated with D by 6-hour drip infusion for 3 consecutive days (2.8 g on the first day, then 2.4 g daily). The other group was treated with equal volumes of physiological salt solution. All patients received conventional trea_t ment for AMI. The two trial groups were sufficiently homogeneous in terms of AMI type, age and sex distribution, PCT, Forrester index, Holter, and Peel index. D treatment proved effective in reducing the incidence of severe arrhythmia (p < 0.05), thrombus formation (p < 0.05), and pericarditis (p < 0.01). CPK, TT and PTT readings were not modified by the treatment; the incidence of post-AMI angina and the number of deaths (4 in each group) were similar in the two groups. The results of this pilot study are encouraging; further clinical trials are currently in progress to assess D activity in larger groups of patients treated with the product at higher dosages.