Malaria infection prevalence and diagnostic performance of the Abbott Bioline Malaria Ag P.f/Pan rapid test in rural populations of Central Cameroon by Viviane Ongbassomben Missoup, Pierre Fongho Suh, Carine Nkodo Ndjebakal, Darus Tagne, Yacouba Poumachu, Steve Joko, Alima Kouamendjouo Djilla, Flobert Njiokou, Wilfred Mbacham, Charles Wondji, Cyrille Ndo

“…The positive and negative predictive values were respectively 84.43% (CI:81.01%-87.46%) and 85.71% (CI:80.13%-90.22%). …”
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Performance evaluation of SARS-CoV-2 rapid diagnostic tests in Nigeria: A cross-sectional study. by Akhere A Omonkhua, Adedayo Faneye, Kazeem S Akinwande, Okpokoro Evaezi, Nathan Y Shehu, Adedeji Onayade, Chinwe Lucia Ochu, Mustapha Popoola, Nnadi Emmanuel, Temitope Ojo, Cornelius Ohonsi, Abdullahi Abubakar, Elizabeth Odeh, Paul Akinduti, Onikepe Folarin, John Samson Bimba, Ehimario Igumbor, Kelly Elimian, Victory Fabian Edem, Luka Pam D, Tunde Olusola, Loretta Ntoimo, Michael Olugbile, Adewale Victor Opayele, Ibrahim Kida, Shwe David, Augustine Onyeaghala, Isaac Igbarumah, Omosivie Maduka, Magaji A Mahmoud, Abdul Rahman El-Fulatty, David O Olaleye, Omale Simon, Iriagbonse Iyabo Osaigbovo, Darlington Ewaen Obaseki, Afolaranmi Tolulupe, Christian Happi, Yusuf Bara Jibrin, Friday Okonofua, Timan Eliya, Gomerep Simji, Izang Joy Abi, Emmanuel Ameh, Ibrahim Mahmood Maigari, Sulaiman Alhaji, Ifedayo Adetifa, Babatunde Salako, Suleiman Bogoro, Chikwe Ihekweazu, Georgina N Odaibo, COVID-19 RDT Validation in Nigeria (CORVAN) study group

“…This study assessed the sensitivity, specificity, and predictive values of ten RDT kits used for COVID-19 testing in Nigeria. …”
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Comparision of Kernel Functions in Geographically Weighted Regression Model: Suicide Data as an Application by Tuba Koç, Pelin Akın

“…In addition, the 2019 suicide numbers and predicted values were mapped, and the results were found to be quite similar. …”
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MyBotS Prototype on Social Media Discord with NLP by Imam Al Maksur, Muhammad Muhajir

“…The test data and accuracy values prediction are the largest Liniear Kernel SVM with accuracy and error prediction values of 94% and 6%.…”
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Measurement of the Compressive Strength of Concrete Using Modeling of Deep Hybrid Forest Regression by J. Rajprasad, P. Priya Rachel, S. Arulselvan, D. Arul, G. Ramesh Kumar, H. J. Pallavi, M. Sivaraja, Vinay Kumar Singh, Getachew Gebreamlak

“…Then, the reduced feature vector is used as input to train multiple subforest models (SFM), the predicted values are selected from multiple subforests via the KNN (K-nearest neighbor) method to combine them to obtain the layer regression vector (LRV), and it is combined with the reduced feature vector to obtain the improved LRV, then the output of this layer is taken; second, the regression vector (RV) of the input layer enhancement layer is used as input to obtain the output of the second layer FM, and the steps are repeated until the output of the input layer FM is complete. …”
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Numerical Study on the Dynamics of a Charged Bubble in the Acoustic Field by Liang LV, Fei LIU, Yawei LI

“…Since the present model fully considers the compressibility of gas and liquid, it can be applied to a wider parameter range and leads to the larger predicted values. The research in this paper can provide important insights about the effects of charge on bubble dynamics and the acoustic cavitation applications (e.g., sonochemistry, water treatment, and food industry)…”
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Research on Hyperspectral Image Reconstruction Based on GISMT Compressed Sensing and Interspectral Prediction by Sheng Cang, Achuan Wang

“…Finally, the difference between the actual measured value and the predicted value is calculated. According to the prediction algorithm, the corresponding difference vector is obtained and the predicted measured value is iteratively updated by the difference vector until the hyperspectral reconstructed image of the relevant general band is finally reconstructed. …”
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A therapeutic approach to atopic eczema by Paul C. Potter

“…True sensitivity to foods is best confirmed by a controlled food challenge, and cut off values have been published which indicate the predictive values of blood or skin tests for true food sensitivity to guide the clinician. …”
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The Measurements of Thermophoretic Deposition of Aerosol Particles in the Continuum and Slip Flow Regions by Fahmy M. Hussein, Mohamed S. El-Shobokshy

“…The comparison between the directly measured particle flux and the predicted values showed good agreement. This result validates the thermophoresis theoretical expressions which have been proposed for both flow regimes involved in the present investigation.…”
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The diagnosis of delirium in 80 emergency unit patients by AFONSO CARLOS NEVES, RICARDO DE CASTRO CINTRA SESSO, HENRIQUE BALLALAI FERRAZ, SÍLVIO FRANCISCO, JOÃO BAPTISTA DOS REIS-FILHO

“…Sensitivity, specificity, positive predictive and negative predictive values had results showing different conditions for initial diagnosis in each group. …”
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Evaluation of conventional molecular diagnosis of Mycobacterium tuberculosis in clinical specimens from Morocco by Fathiah Zakham, Halima Bazoui, Mohammed Akrim, Sanae Lemrabet, Ouafae Lahlou, Mohamed Elmzibri, Abdelaziz Benjouad, My Mustapha Ennaji, Rajae Elaouad

“…Results: The sensitivity of PCR was 81.13%, with specificity of 88.24%; the positive and negative predictive values were 95.56% and 60%, respectively. Conclusion: Based on these results, the hsp65 gene sequence can be used to differentiate the members of MTB complex from non-tuberculosis mycobacteria (NTM). …”
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Machine learning-driven imaging data for early prediction of lung toxicity in breast cancer radiotherapy by Tamás Ungvári, Döme Szabó, András Győrfi, Zsófia Dankovics, Balázs Kiss, Judit Olajos, Károly Tőkési

“…Three different classification methods (Tree, Kernel-based, k-Nearest Neighbors) showed predictive values above 60%. The human predictive factor (HPF), a mathematical predictive model, further strengthened the association between lung hounsfield unit (HU) metrics and radiation-induced lung injury (RILI). …”
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Dybkov model for the estimation of boron diffusion in the FeB/Fe2B bilayer on AISI 316 steel by Naima Hadjadj, Bendaoud Mebarek, Yassine El Guerri, Mourad Keddam

“…From the numerical solutions of both models, the predicted values of thickness have been compared to the experimental results. …”
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Optimization of the methanolysis of lard oil in the production of biodiesel with response surface methodology by Chinyere B. Ezekannagha, Callistus N. Ude, Okechukwu D. Onukwuli

“…Experiments performed at the predicted optimum conditions yielded 96% which was in good agreement with the predicted value. This study shows that lard oil as a low cost feedstock is a good source of raw material for biodiesel production and a sustainable biodiesel production could be achieved with proper optimization of the process variables.…”
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The Effect of Menisci on Kinetic Analysis of Evaporation for Molten Alkali Metal Salts (CsNO3, CsCl, LiCl, and NaCl) in Small Cylindrical Containers by In-Hwan Yang, Hee-Chul Yang, Hyung-Ju Kim

“…However, whether the values of the condensation coefficient of molten salts were affected by menisci, the range of the predicted values was still low from 10−3 to 10−5. This result means that the presence of the foreign gas (air and Ar) is a dominant parameter in determining the condensation coefficient of atmospheric evaporation.…”
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Determinants of Functional Capacity and Quality of Life After Implantation of a Durable Left Ventricular Assist Device by Kiran K Mirza, Finn Gustafsson

“…Mean peak oxygen uptake was 13.4 ml/kg/min (equivalent to 48% of predicted value; 259 days after implantation, range 31–1,017 days) and mean 6-minute walk test distance was 370 m (182 days after implantation, range 43–543 days). …”
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Interpreting Covid-19 Tests and the Uncertainty by Bayesian Methodology by Tomáš Karel

“…Employing Bayesian simulations for posterior predictive values can reduce diagnostic errors and improve public health outcomes by upgrading the performance of RATs and explicitly propagating posterior uncertainty in clinical diagnosis, as described in this study.…”
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FORECAST SCENARIOS OF DEVELOPMENT OF THE INTERNAL CONSUMER MARKET OF ORGANIC PRODUCTS IN UKRAINE by Oleksii SHKURATOV, Halyna HRESHCHUK, Oksana LOBANOVA

“…The study of trends and the calculation of predictive values of independent variables of the model for the near future are based on the extrapolation method. …”
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Application of Artificial Neural Networks in Mineral Resource Evaluation by Saleh M. Al-Alawi, E.E. Tawo

“…Finally, the validated model was used to predict values at unsampled locations in order to determine the feasibility of drilling in these locations. …”
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Liver Enzymes as Surrogate Markers of Hepatitis C Histopathology – Avoiding the Liver Biopsy Needle? by Stephen GM Wong, Eric M Yoshida

“…Serum AST values correctly predicted the inflammatory grade in 63 of 79 (80%) patients, and the fibrosis stage in 50 of 79 (63%) patients - higher than the predictive values of ALT. Serum alanine aminotransferase (ALT) values did not correlate with the degree of histological inflammation (r=0.39) but did correlate mildly with the extent of hepatic fibrosis (r=0.51). …”
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