Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead von Rudin, Cynthia

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The use of 0.5% or 3% NaOCl for irrigation during root canal treatment results in similar clinical outcome: A 6‐year follow‐up of a quasi‐randomized clinical trial von Dahlstrand Rudin, Arvid, Dahlstrand Rudin, Agnes, Ulin, Charlotte, Kvist, Thomas

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Small cell lung cancer: Where do we go from here? von Byers, Lauren Averett, Rudin, Charles M.

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Supersparse linear integer models for optimized medical scoring systems von Ustun, Berk, Rudin, Cynthia

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CRISPR Gene Therapy: Applications, Limitations, and Implications for the Future von Uddin, Fathema, Rudin, Charles M, Sen, Triparna

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Digital health technologies: opportunities and challenges in rheumatology von Solomon, Daniel H., Rudin, Robert S.

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All Models are Wrong, but Many are Useful: Learning a Variable's Importance by Studying an Entire Class of Prediction Models Simultaneously von Fisher, Aaron, Rudin, Cynthia, Dominici, Francesca

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Why black box machine learning should be avoided for high-stakes decisions, in brief von Rudin, Cynthia

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News from our societies: IFSW Social workers play a crucial role in achieving SDGs – reflections from the 27th IFSW Asia-Pacific conference, November 2023 von Rudin, Pascal

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Asserting epistemic modals von Rudin, Deniz

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Small-cell lung cancer von Rudin, Charles M., Brambilla, Elisabeth, Faivre-Finn, Corinne, Sage, Julien

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Establishment of Wolbachia Strain wAlbB in Malaysian Populations of Aedes aegypti for Dengue Control von Nazni, Wasi A., Hoffmann, Ary A., NoorAfizah, Ahmad, Cheong, Yoon Ling, Mancini, Maria V., Golding, Nicholas, Kamarul, Ghazali M.R., Arif, Mohd A.K., Thohir, Hasim, NurSyamimi, Halim, ZatilAqmar, M. Zabari, NurRuqqayah, Mazni, NorSyazwani, Amran, Faiz, Azmi, Irfan, Francis-Rudin M.N., Rubaaini, Subramaniam, Nuradila, Nasir, Nizam, Nasir M.N., Irwan, Saidin M., Endersby-Harshman, Nancy M., White, Vanessa L., Ant, Thomas H., Herd, Christie S., Hasnor, Asim H., AbuBakar, Rahman, Hapsah, Dusa M., Khadijah, Khairuddin, Kamilan, Denim, Lee, Soo Cheng, Paid, Yusof M., Fadzilah, Kamaludin, Topek, Omar, Gill, Balvinder S., Lee, Han Lim, Sinkins, Steven P.

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Clinical and molecular correlates of PD-L1 expression in patients with lung adenocarcinomas von Schoenfeld, A.J., Rizvi, H., Bandlamudi, C., Sauter, J.L., Travis, W.D., Rekhtman, N., Plodkowski, A.J., Perez-Johnston, R., Sawan, P., Beras, A., Egger, J.V., Ladanyi, M., Arbour, K.C., Rudin, C.M., Riely, G.J., Taylor, B.S., Donoghue, M.T.A., Hellmann, M.D.

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Emerging trends in paediatric neurosurgical anaesthesia: Time for subspeciality? von Domi, Rudin

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Concept, Ritual, and Narrative: What Are Toddler Books? von Rudin, Shai

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Autofluorescence imaging of parathyroid glands: An assessment of potential indications von Kose, Emin, Rudin, Anatoliy V., Kahramangil, Bora, Moore, Edwina, Aydin, Husnu, Donmez, Mustafa, Krishnamurthy, Vikram, Siperstein, Allan, Berber, Eren

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Enteric fungal microbiota dysbiosis and ecological alterations in colorectal cancer von Coker, Olabisi Oluwabukola, Nakatsu, Geicho, Dai, Rudin Zhenwei, Wu, William Ka Kei, Wong, Sunny Hei, Ng, Siew Chien, Chan, Francis Ka Leung, Sung, Joseph Jao Yiu, Yu, Jun

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Lineage plasticity in cancer: a shared pathway of therapeutic resistance von Quintanal-Villalonga, Álvaro, Chan, Joseph M., Yu, Helena A., Pe’er, Dana, Sawyers, Charles L., Sen, Triparna, Rudin, Charles M.

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DNA methylation in small cell lung cancer defines distinct disease subtypes and correlates with high expression of EZH2 von Poirier, J T, Gardner, E E, Connis, N, Moreira, A L, de Stanchina, E, Hann, C L, Rudin, C M

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Vismodegib von RUDIN, Charles M

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