Forecasts of cancer patients’ medical use and expenditure (income/admission cases). by Jinah Sim (15140709)

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The effect of utilization due the characters of cancer patients (sex). by Jinah Sim (15140709)

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The effect of utilization due the characters of cancer patients (cancer type). by Jinah Sim (15140709)

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Forecasts of cancer patients’ medical use and expenditure (income/outpatient cases). by Jinah Sim (15140709)

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Median p-values and significant differences for forecasting time steps. by Yaopeng Han (22622718)

Expression Significance and Prognostic Value of GPR27 in Ovarian Cancer by Xiulan Peng (640576)

“…<p>This study explored the prognostic role of GPR27 and its predictive value to platinum-based therapy in ovarian cancer.…”

Scatter plot—predicted values vs. actual values for confirmed deaths–Australia. by Erick Giovani Sperandio Nascimento (6146123)

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Scatter plot—predicted values vs. actual values for confirmed cases–Brazil. by Erick Giovani Sperandio Nascimento (6146123)

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Scatter plot—predicted values vs. actual values for confirmed cases–Australia. by Erick Giovani Sperandio Nascimento (6146123)

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Scatter plot—predicted values vs. actual values for confirmed deaths–India. by Erick Giovani Sperandio Nascimento (6146123)

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Scatter plot—predicted values vs. actual values for confirmed cases–India. by Erick Giovani Sperandio Nascimento (6146123)

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Scatter plot—predicted values vs. actual values for confirmed deaths–Brazil. by Erick Giovani Sperandio Nascimento (6146123)

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Significant motifs (E-value < 0.01) in <i>Rice</i>. by Zutan Li (10026009)

Predicted value of S1 station. by Yubo Zhao (3873457)

“…The model was tested at three different locations and the results showed that the model outperformed the other models, performing as follows: 0.5925, 0.6482, 6.3322, 0.8523, 0.8902, 0.9403; 0.4933, 0.4325, 6.2351, 0.8952, 0.7928, 0.8632; 0.2912, 0.2001, 4.0523, 0.7823, 0.8425, 0.8463 and the PICP values exceed 95%. The hybrid model demonstrated significant results in predicting dissolved oxygen concentrations for the next 15 days. …”

Predicted value of S3 station. by Yubo Zhao (3873457)

“…The model was tested at three different locations and the results showed that the model outperformed the other models, performing as follows: 0.5925, 0.6482, 6.3322, 0.8523, 0.8902, 0.9403; 0.4933, 0.4325, 6.2351, 0.8952, 0.7928, 0.8632; 0.2912, 0.2001, 4.0523, 0.7823, 0.8425, 0.8463 and the PICP values exceed 95%. The hybrid model demonstrated significant results in predicting dissolved oxygen concentrations for the next 15 days. …”

Predicted value of S2 station. by Yubo Zhao (3873457)

“…The model was tested at three different locations and the results showed that the model outperformed the other models, performing as follows: 0.5925, 0.6482, 6.3322, 0.8523, 0.8902, 0.9403; 0.4933, 0.4325, 6.2351, 0.8952, 0.7928, 0.8632; 0.2912, 0.2001, 4.0523, 0.7823, 0.8425, 0.8463 and the PICP values exceed 95%. The hybrid model demonstrated significant results in predicting dissolved oxygen concentrations for the next 15 days. …”

Receiver operating characteristic curve analyses for the prediction of hepatitis C. by Lu Han (151620)

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Gut richness and diversity decrease significantly by week 5 of chemoradiotherapy. by Molly B. El Alam (10231830)

Experimental and predicted regression of values. by B. Venkatesh (17202747)

Prediction comparison (horizontal axis: Prediction value, vertical axis: Target value). by Haneul Eom (11426722)

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