Predicted sensitivity, specificity, PPV, and NPV of the four algorithms (a, b) and algorithms combinations (c, d) under Model-3 in the primary analysis. by Jia Wei (120974)

“…PPV: positive predictive value; NPV: negative predictive value. Codes: CAP primary diagnostic codes; Indication: CAP antibiotic indication; Radiology: chest X-ray report or CT scan report; Tests: shortness of breath and elevated C-reactive protein levels.…”

Observed and predicted frequency of each algorithm combination of community-acquired pneumonia (CAP) in Model-3 in the primary analysis. by Jia Wei (120974)

“…<p>The columns indicate specific combinations, with filled circles denote an algorithm being positive in each combination. Codes: CAP primary diagnostic codes; Indication: CAP antibiotic indication; Radiology: chest X-ray report or CT scan report; Tests: shortness of breath and elevated C-reactive protein levels.…”

PREDICTING THE THERAPEUTIC SUCCESS IN SMOKERS BY MACHINE LEARNING ALGORITHMS by Miyoko Massago (12412708)

Subjects:

Gene with low predictability. by Binghan Xue (21253235)

Prediction performance (BSS) for simulated datasets with simulated missingness: low correlation (0.1) and low AUROC (0.75). by Elena Albu (15181070)

Comparison results of prediction model with single algorithm and combination algorithm. by Jiayuan Wang (3765376)

Subjects:

Main code. by Jingguo Bi (21439766)

Pseudo-code of large neighborhood search (<i>LNS</i>) algorithm. by Jiren CAO (20442214)

Whole slide images classification code. by Yaëlle Bellahsen-Harrar (22139194)

“…Although it can improve accuracy and inter-rater reliability, it is not infallible and can produce erroneous diagnoses, hence the need for pathologists to always check predictions. This critical judgment is particularly important when algorithm errors could lead to high-impact negative clinical outcomes, such as missing an invasive carcinoma. …”

Chromosome coding. by Junjie He (700642)

Open-source code for the Spatial Optimization Model for Land Use (SSFLA-MLAS) by bowen pang (21837359)

“…<p dir="ltr">The open-source content is the source code of a land use spatial optimization model (SSFLA-MLAS) that couples the spatial leapfrog algorithm with multi-level multi-agent systems. …”

NMSE errors (deviations from true values) on test sets for simulated datasets with simulated missingness: low correlation (0.1) and low AUROC (0.75). by Elena Albu (15181070)

Example scenario to illustrate how rating is predicted by proposed algorithm. by Muhammad Waqar (500788)

The ranking of algorithms with MPTM mutation by TOPSIS. by Jalal- ud-Din (21474307)

Subjects:

The ranking of algorithms with NUM mutation by TOPSIS. by Jalal- ud-Din (21474307)

Subjects:

The ranking of algorithms with PM mutation by TOPSIS. by Jalal- ud-Din (21474307)

Subjects:

Horizontal coding of milling parameters. by Nanqi Li (11640083)

“…<div><p>Titanium alloy is known for its low thermal conductivity, small elastic modulus, and propensity for work hardening, posing challenges in predicting surface quality post high-speed milling. …”

Performance of network diffusion algorithms. by Lu Sun (194355)

Subjects:

Schematic of the random walk algorithm. by Lu Sun (194355)

Subjects:

Visual line representation of algorithms with NUM mutation. by Jalal- ud-Din (21474307)

Subjects: