Search Results - "Machine Learning"

Application value of the automated machine learning model based on modified CT index combined with serological indices in the early prediction of lung cancer by Leyuan Meng, Ping Zhu, Ping Zhu, Kaijian Xia, Kaijian Xia

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Understanding cross-data dynamics of individual and social/environmental factors through a public health lens: explainable machine learning approaches by Siwoo Jeong, Siwoo Jeong, Sung Bum Yun, Soon Yong Park, Sungchul Mun, Sungchul Mun

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Treatment options and emotional well-being in patients with rosacea: An unsupervised machine learning analysis of over 200,000 postsCapsule Summary by Karan Rajalingam, BS, Nicole Levin, BS, Oge Marques, PhD, James Grichnik, MD, PhD, Ann Lin, DO, Wei-Shen Chen, MD, PhD

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A novel energy-saving method for campus wired and dense WiFi network applying machine learning and idle cycling techniques by Ricardo Alvarado, Alvaro Suárez

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A tricarboxylic acid cycle-based machine learning model to select effective drug targets for the treatment of esophageal squamous cell carcinoma by Yicheng Liang, Yicheng Liang, Yicheng Liang, Binghua Tan, Binghua Tan, Minjun Du, Bing Wang, Yushun Gao, Minghui Wang, Minghui Wang

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Pathogenesis-based treatments in primary Sjogren's syndrome using artificial intelligence and advanced machine learning techniques: a systematic literature review by Nathan Foulquier, Pascal Redou, Christophe Le Gal, Bénédicte Rouvière, Jacques-Olivier Pers, Alain Saraux

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Identifying Behavioral Phenotypes of Loneliness and Social Isolation with Passive Sensing: Statistical Analysis, Data Mining and Machine Learning of Smartphone and Fitbit Data by Doryab, Afsaneh, Villalba, Daniella K, Chikersal, Prerna, Dutcher, Janine M, Tumminia, Michael, Liu, Xinwen, Cohen, Sheldon, Creswell, Kasey, Mankoff, Jennifer, Creswell, John D, Dey, Anind K

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Predicting Colorectal Cancer Recurrence and Patient Survival Using Supervised Machine Learning Approach: A South African Population-Based Study by Okechinyere J. Achilonu, June Fabian, June Fabian, Brendan Bebington, Brendan Bebington, Elvira Singh, Elvira Singh, Gideon Nimako, Gideon Nimako, M. J. C. Eijkemans, Eustasius Musenge

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Detection of Synergistic Interaction on an Additive Scale Between Two Drugs on Abnormal Elevation of Serum Alanine Aminotransferase Using Machine-Learning Algorithms by Hayato Akimoto, Takuya Nagashima, Kimino Minagawa, Takashi Hayakawa, Yasuo Takahashi, Satoshi Asai, Satoshi Asai

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Development and validation of a machine learning-based detection system to improve precision screening for medication errors in the neonatal intensive care unit by Nadir Yalçın, Merve Kaşıkcı, Hasan Tolga Çelik, Karel Allegaert, Karel Allegaert, Karel Allegaert, Kutay Demirkan, Şule Yiğit, Murat Yurdakök

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Bibliometric Studies and the Discipline of Social Media Mental Health Research. Comment on "Machine Learning for Mental Health in Social Media: Bibliometric Study" by Philip Resnik, Munmun De Choudhury, Katherine Musacchio Schafer, Glen Coppersmith

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SDM6A: A Web-Based Integrative Machine-Learning Framework for Predicting 6mA Sites in the Rice Genome by Shaherin Basith, Balachandran Manavalan, Tae Hwan Shin, Gwang Lee

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Effective Prediction and Important Counseling Experience for Perceived Helpfulness of Social Question and Answering-Based Online Counseling: An Explainable Machine Learning Model by Yinghui Huang, Yinghui Huang, Yinghui Huang, Yinghui Huang, Hui Liu, Hui Liu, Shen Li, Weijun Wang, Weijun Wang, Weijun Wang, Zongkui Zhou, Zongkui Zhou, Zongkui Zhou

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Solidarity and strife after the Atlanta spa shootings: A mixed methods study characterizing Twitter discussions by qualitative analysis and machine learning by Shaniece Criss, Thu T. Nguyen, Eli K. Michaels, Gilbert C. Gee, Mathew V. Kiang, Quynh C. Nguyen, Samantha Norton, Eli Titherington, Leah Nguyen, Isha Yardi, Melanie Kim, Nhung Thai, Ariel Shepherd, Chris J. Kennedy

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Twenty-eight-day in-hospital mortality prediction for elderly patients with ischemic stroke in the intensive care unit: Interpretable machine learning models by Jian Huang, Jian Huang, Wanlin Jin, Xiangjie Duan, Xiaozhu Liu, Xiaozhu Liu, Tingting Shu, Li Fu, Jiewen Deng, Huaqiao Chen, Guojing Liu, Ying Jiang, Ziru Liu

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A Stable and Scalable Digital Composite Neurocognitive Test for Early Dementia Screening Based on Machine Learning: Model Development and Validation Study by Dongmei Gu, Xiaozhen Lv, Chuan Shi, Tianhong Zhang, Sha Liu, Zili Fan, Lihui Tu, Ming Zhang, Nan Zhang, Liming Chen, Zhijiang Wang, Jing Wang, Ying Zhang, Huizi Li, Luchun Wang, Jiahui Zhu, Yaonan Zheng, Huali Wang, Xin Yu

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Unsupervised Machine Learning-Based Analysis of Clinical Features, Bone Mineral Density Features and Medical Care Costs of Rotator Cuff Tears by Wang TF, Chen DS, Zhu JW, Zhu B, Wang ZL, Cao JG, Feng CH, Zhao JW

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Analysis of COVID-19 Vaccinations and Symptom Mapping Diagnostic Technique for Viral Diseases: Using Data Analytics, Machine Learning, and Artificial Intelligence by Chikezie Kennedy Kalu MSc

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A Machine Learning Prediction Model of Respiratory Failure Within 48 Hours of Patient Admission for COVID-19: Model Development and Validation by Bolourani, Siavash, Brenner, Max, Wang, Ping, McGinn, Thomas, Hirsch, Jamie S, Barnaby, Douglas, Zanos, Theodoros P

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Machine learning techniques for the identification of risk factors associated with food insecurity among adults in Arab countries during the COVID-19 pandemic by Radwan Qasrawi, Maha Hoteit, Reema Tayyem, Khlood Bookari, Haleama Al Sabbah, Iman Kamel, Somaia Dashti, Sabika Allehdan, Hiba Bawadi, Mostafa Waly, Mohammed O. Ibrahim, The Regional CORONA COOKING Survey Group, Stephanny Vicuna Polo, Diala Abu Al-Halawa

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