An epidemiological learning model. حسب Mouhamad Bodaghie (14838511)

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Fig 4 - حسب Mouhamad Bodaghie (14838511)

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Total mean square error (MSE) of training and experimental data in the best implementation of ANN-BTA network for estimating basic reproduction number related to COVID-19 patients... حسب Mouhamad Bodaghie (14838511)

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The MSE value of ANN-BTA network after interval limiting [1,1.2] and obtaining the lowest error rate in estimating basic reproduction numberand. حسب Mouhamad Bodaghie (14838511)

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Fig 8 - حسب Mouhamad Bodaghie (14838511)

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Parameter space exploration in comparison to exploitation for the selection of samples during Bayesian Optimization. حسب John E. Fleming (8533956)

Distributions of model parameters mirror differentially expressed ion channel genes. حسب Daniele Linaro (227790)

Calibration plots for all models on the Derivation cohort. حسب Agni Orfanoudaki (8878097)

Graphical illustration of sample size estimation for the study protocol. حسب Müge Yalçin (16486563)

Most cost-effective option* when TCZ is available. حسب Gabrielle Bonnet (11614471)

Network propagation identifies ageing-associated genes as well as genes distinguishing prostate tumors of different grades. حسب Konstantina Charmpi (9901053)

Table_1_An efficient decision support system for leukemia identification utilizing nature-inspired deep feature optimization.pdf حسب Muhammad Awais (263096)

"…To optimize feature selection, a customized binary Grey Wolf Algorithm is utilized, achieving an impressive 80% reduction in feature size while preserving key discriminative information. …"

Cluster survival results. حسب Teemu J. Rintala (19333003)

Cluster survival results with different pathway sets. حسب Teemu J. Rintala (19333003)

Overview of study assessments of the trial. حسب Tan Boon Toh (1348143)

"…A QPOP-guided treatment selection algorithm will then be used to select the most appropriate drug combination. …"

Performance of pairing prediction versus training set size and number of pairs per species. حسب Guillaume Marmier (7495823)

"…<p><b>A</b>: Fraction of pairs correctly identified (TP fraction) versus training set size, for DCA-, MI-, and Mirrortree-based methods. The three pairing scores corresponding to each of these three methods are employed in two ways: either within each species we find the chain B with optimal pairing score with each chain A (dashed lines), or within each species we employ the Hungarian matching algorithm to find the one-to-one pairing of chains A and B that optimizes the sum of the pairing scores (solid lines). …"

Human expert versus automated processing: Running dataset. حسب Keenon Werling (17512156)

Table 1_Developing and validating a drug recommendation system based on tumor microenvironment and drug fingerprint.xlsx حسب Yan Wang (15435)

"…This study aimed to develop a personalized drug recommendation model leveraging genomic profiles to optimize therapeutic outcomes.</p>Methods<p>A content-based filtering algorithm was implemented to predict drug sensitivity. …"

Table 2_Developing and validating a drug recommendation system based on tumor microenvironment and drug fingerprint.xlsx حسب Yan Wang (15435)

"…This study aimed to develop a personalized drug recommendation model leveraging genomic profiles to optimize therapeutic outcomes.</p>Methods<p>A content-based filtering algorithm was implemented to predict drug sensitivity. …"

Table 3_Developing and validating a drug recommendation system based on tumor microenvironment and drug fingerprint.xlsx حسب Yan Wang (15435)

"…This study aimed to develop a personalized drug recommendation model leveraging genomic profiles to optimize therapeutic outcomes.</p>Methods<p>A content-based filtering algorithm was implemented to predict drug sensitivity. …"