Mapping out diagnostic accuracy using Principal Component Analysis. by Rie R. Yotsu (16378272)

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Task 2: Confusion matrices showing the proportions of diagnosis in the original images [ground truth] and the predicted diagnosis by the deep learning model [prediction]. by Rie R. Yotsu (16378272)

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Task 1(a): Diagnostic accuracy of the two network models using all cases (total images = 1,709), with different percentages of images for training. by Rie R. Yotsu (16378272)

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Largest changes in influenza vaccine rates, Pre- vs. Post-COVID-19. by Tyler B. Nofzinger (21560244)

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Results for Case A, with <i>c</i>₁ = 1 and <i>c</i>₂ = ln(<i>P</i>(0)). by Edilson F. Arruda (6451565)

Results for Case D, with <i>c</i>₁ = 3 and <i>c</i>₂ = ln(<i>P</i>(0)). by Edilson F. Arruda (6451565)

Results for Case B, with <i>c</i>₁ = 2 and <i>c</i>₂ = ln(<i>P</i>(0)). by Edilson F. Arruda (6451565)

Discovery of Selective Dopamine Receptor Ligands Derived from (−)-Stepholidine via C‑3 Alkoxylation and C‑3/C‑9 Dialkoxylation by Hari K. Namballa (13363787)

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Discovery of Selective Dopamine Receptor Ligands Derived from (−)-Stepholidine via C‑3 Alkoxylation and C‑3/C‑9 Dialkoxylation by Hari K. Namballa (13363787)

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Human coccidioidomycosis cases from 1995 to 2020 as part of reference diagnostic service. by Sudha Chaturvedi (228530)

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Risk factors for hepatitis C infection among adult patients in Kedah state, Malaysia: A case–control study by Mohd Azri Mohd Suan (7572407)

“…A total of 255 case–control patient pairs were enrolled. The multivariable analysis indicated that having a history of blood or blood product transfusion before 1992 (adjusted odds ratio [AOR] = 6.99, 95% confidence interval [CI]: 3.73–13.81), injection drug use (AOR = 6.60, 95% CI: 3.66–12.43), imprisonment (AOR = 4.58, 95% CI: 1.62–16.40), tattooing (AOR = 3.73, 95% CI: 1.37–12.00), having more than one sexual partner (AOR = 2.06, 95% CI: 1.16–3.69), piercing (AOR = 1.71, 95% CI: 1.04–2.80), and having only secondary education (AOR = 1.92, 95% CI: 1.06–3.57) were independently associated with hepatitis C. …”

Risk factors for mucormycosis among never-hospitalised COVID-19 patients, multi-centric case-control study of post-COVID rhino-orbito-cerebral mucormycosis, India, 2021. by Manickam Ponnaiah (294619)

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Risk factors for mucormycosis among ever-hospitalised COVID-19 patients, multi-centric case-control study of post-COVID rhino-orbito-cerebral mucormycosis, India, 2021. by Manickam Ponnaiah (294619)

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Directed acyclic graph of Post COVID-19 rhino orbito cerebral mucormycosis for (a) ever-hospitalised and (b) never-hospitalised patients. by Manickam Ponnaiah (294619)

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Balance check on individual-level demographic attributes between treatment group (cases randomly assigned to a high-touch contact tracer) and control group (cases not assigned to a... by Lisa C. Lu (15503327)

Inadvertent place of the most proximal screw through the proximal tibial physis and into stifle joint after the case was first medically managed with a splint bandage (Case 17). by Carly Sullivan (12733655)

Identification of CD41+ MDS (Case 1). by Kiyoyuki Ogata (14978055)

The carotid canal area is larger on the unaffected side than on the affected side in patients with unilateral moyamoya disease, but the difference decreases according to the contra... by Yuki Oichi (11840776)

“…The ratio decreases according to the development of contralateral ICA stenosis in all cases. (C) shows a representative case of contralateral progression of unilateral moyamoya disease. …”

Detecting dispersion changes in case count time series. by Rachael Aber (21703264)

The experimental design conditions: A nurse assigned to the sum of C+ and C- negative patients where, zero C+ and five C- patients is the baseline (pre-pandemic) case. by Sadeem Munawar Qureshi (8705436)