Search Results - "machines"

Comparison of machine-learning algorithms for the prediction of current procedural terminology (CPT) codes from pathology reports by Joshua Levy, Nishitha Vattikonda, Christian Haudenschild, Brock Christensen, Louis Vaickus

Connect to this object online.

Identifying the most important workplace factors in predicting nurse mental health using machine learning techniques by Farinaz Havaei, Xuejun Ryan Ji, Maura MacPhee, Heather Straight

Connect to this object online.

Using Automated Machine Learning to Predict the Mortality of Patients With COVID-19: Prediction Model Development Study by Ikemura, Kenji, Bellin, Eran, Yagi, Yukako, Billett, Henny, Saada, Mahmoud, Simone, Katelyn, Stahl, Lindsay, Szymanski, James, Goldstein, D Y, Reyes Gil, Morayma

Connect to this object online.

Predicting Flow Rate Escalation for Pediatric Patients on High Flow Nasal Cannula Using Machine Learning by Joshua A. Krachman, Jessica A. Patricoski, Jessica A. Patricoski, Christopher T. Le, Jina Park, Ruijing Zhang, Kirby D. Gong, Indranuj Gangan, Raimond L. Winslow, Joseph L. Greenstein, James Fackler, Anthony A. Sochet, Anthony A. Sochet, Jules P. Bergmann

Connect to this object online.

Creating a Machine Learning Tool to Predict Acute Kidney Injury in African American Hospitalized Patients by Sasha Pierre-Paul, Xiang S. Wang, Constance Mere, Dhakrit Rungkitwattanakul

Connect to this object online.

Feature Identification With a Heuristic Algorithm and an Unsupervised Machine Learning Algorithm for Prior Knowledge of Gait Events by Seth R. Donahue, Michael E. Hahn

Connect to this object online.

A Machine-Learning-Based Medical Imaging Fast Recognition of Injury Mechanism for Athletes of Winter Sports by Peihua Liu, Nan Yue, Jiandong Chen

Connect to this object online.

Explainable Machine Learning for COVID-19 Pneumonia Classification With Texture-Based Features Extraction in Chest Radiography by Luís Vinícius de Moura, Christian Mattjie, Christian Mattjie, Caroline Machado Dartora, Caroline Machado Dartora, Rodrigo C. Barros, Ana Maria Marques da Silva, Ana Maria Marques da Silva

Connect to this object online.

Development and validation of a machine learning model integrated with the clinical workflow for inpatient discharge date prediction by Mohammed A. Mahyoub, Mohammed A. Mahyoub, Kacie Dougherty, Ravi R. Yadav, Raul Berio-Dorta, Ajit Shukla

Connect to this object online.

Correction: Machine Learning Model for Predicting Mortality Risk in Patients With Complex Chronic Conditions: Retrospective Analysis by Guillem Hernández Guillamet, Ariadna Ning Morancho Pallaruelo, Laura Miró Mezquita, Ramón Miralles, Miquel Àngel Mas, María José Ulldemolins Papaseit, Oriol Estrada Cuxart, Francesc López Seguí

Connect to this object online.

Clinical decision support for chemotherapy‐induced neutropenia using a hybrid pharmacodynamic/machine learning model by Jasmine H. Hughes, Dominic M. H. Tong, Vanessa Burns, Bobby Daly, Pedram Razavi, Jaap J. Boelens, Srijib Goswami, Ron J. Keizer

Connect to this object online.

Assessing the impact of occlusal plane rotation on facial aesthetics in orthodontic treatment: a machine learning approach by Jingyi Cai, Ziyang Min, Yudi Deng, Dian Jing, Zhihe Zhao

Connect to this object online.

Use of Machine Learning for the Identification and Validation of Immunogenic Cell Death Biomarkers and Immunophenotypes in Coronary Artery Disease by Zhang YJ, Huang C, Zu XG, Liu JM, Li YJ

Connect to this object online.

Public Discourse and Sentiment Toward Dementia on Chinese Social Media: Machine Learning Analysis of Weibo Posts by Dexia Kong, Anfan Chen, Jingwen Zhang, Xiaoling Xiang, W Q Vivian Lou, Timothy Kwok, Bei Wu

Connect to this object online.

The application of machine learning for predicting recurrence in patients with early-stage endometrial cancer: a pilot study by Munetoshi Akazawa, Kazunori Hashimoto, Katsuhiko Noda, Kaname Yoshida

Connect to this object online.

A Multidisciplinary Investigation into the Talent Development Processes at an English Football Academy: A Machine Learning Approach by Adam L. Kelly, Craig A. Williams, Rob Cook, Sergio Lorenzo Jiménez Sáiz, Mark R. Wilson

Connect to this object online.

Machine learning models for predicting risk of depression in Korean college students: Identifying family and individual factors by Minji Gil, Suk-Sun Kim, Suk-Sun Kim, Eun Jeong Min

Connect to this object online.

Prognostic Assessment of COVID-19 in the Intensive Care Unit by Machine Learning Methods: Model Development and Validation by Pan, Pan, Li, Yichao, Xiao, Yongjiu, Han, Bingchao, Su, Longxiang, Su, Mingliang, Li, Yansheng, Zhang, Siqi, Jiang, Dapeng, Chen, Xia, Zhou, Fuquan, Ma, Ling, Bao, Pengtao, Xie, Lixin

Connect to this object online.

Clinical feature-related single-base substitution sequence signatures identified with an unsupervised machine learning approach by Hongchen Ji, Junjie Li, Qiong Zhang, Jingyue Yang, Juanli Duan, Xiaowen Wang, Ben Ma, Zhuochao Zhang, Wei Pan, Hongmei Zhang

Connect to this object online.

Predicting all-cause 90-day hospital readmission for dental patients using machine learning methods by Wei Li, Martin S. Lipsky, Eric S. Hon, Weicong Su, Sharon Su, Yao He, Richard Holubkov, Xiaoming Sheng, Man Hung

Connect to this object online.