Warning: Undefined array key "mm" in /www/wwwroot/www.ai-bt.com/si.php on line 10 Deprecated: trim(): Passing null to parameter #1 ($string) of type string is deprecated in /www/wwwroot/www.ai-bt.com/si.php on line 10 Realistically Integrating Machine Learning Into Clinical Practice: A Road Map of Opportunities, Challenges, and a Potential Future.

Literature DB >> 32287118

Realistically Integrating Machine Learning Into Clinical Practice: A Road Map of Opportunities, Challenges, and a Potential Future.

Ira S Hofer¹, Michael Burns², Samir Kendale³, Jonathan P Wanderer⁴.

Abstract

Entities: CellLine Disease Species

Mesh：

Year: 2020 PMID： 32287118 PMCID： PMC7584400 DOI： 10.1213/ANE.0000000000004575

Source DB: PubMed Journal: Anesth Analg ISSN： 0003-2999 Impact factor: 5.108

× No keyword cloud information.

16 in total

1. Six habits of highly successful health information technology: powerful strategies for design and implementation.

Authors: Jessica M Ray; Raj M Ratwani; Christine A Sinsky; Richard M Frankel; Mark W Friedberg; Seth M Powsner; David I Rosenthal; Robert M Wachter; Edward R Melnick
Journal: J Am Med Inform Assoc Date: 2019-10-01 Impact factor: 4.497

2. Prognosis and prognostic research: validating a prognostic model.

Authors: Douglas G Altman; Yvonne Vergouwe; Patrick Royston; Karel G M Moons
Journal: BMJ Date: 2009-05-28

3. Anesthesia Informatics Grows Up.

Authors: Ira S Hofer; Matthew A Levin; Allan F Simpao; Patrick J McCormick; Brian S Rothman
Journal: Anesth Analg Date: 2018-07 Impact factor: 5.108

4. The Value of Monitoring Clinical Decision Support Interventions.

Authors: Eileen Yoshida; Shirley Fei; Karen Bavuso; Charles Lagor; Saverio Maviglia
Journal: Appl Clin Inform Date: 2018-03-07 Impact factor: 2.342

5. Clinical decisions support malfunctions in a commercial electronic health record.

Authors: Steven Z Kassakian; Thomas R Yackel; Paul N Gorman; David A Dorr
Journal: Appl Clin Inform Date: 2017-09-06 Impact factor: 2.342

6. A Generalizable, Data-Driven Approach to Predict Daily Risk of Clostridium difficile Infection at Two Large Academic Health Centers.

Authors: Jeeheh Oh; Maggie Makar; Christopher Fusco; Robert McCaffrey; Krishna Rao; Erin E Ryan; Laraine Washer; Lauren R West; Vincent B Young; John Guttag; David C Hooper; Erica S Shenoy; Jenna Wiens
Journal: Infect Control Hosp Epidemiol Date: 2018-04 Impact factor: 3.254

7. Development and Validation of a Deep Neural Network Model for Prediction of Postoperative In-hospital Mortality.

Authors: Christine K Lee; Ira Hofer; Eilon Gabel; Pierre Baldi; Maxime Cannesson
Journal: Anesthesiology Date: 2018-10 Impact factor: 7.892

8. Machine-learning Algorithm to Predict Hypotension Based on High-fidelity Arterial Pressure Waveform Analysis.

Authors: Feras Hatib; Zhongping Jian; Sai Buddi; Christine Lee; Jos Settels; Karen Sibert; Joseph Rinehart; Maxime Cannesson
Journal: Anesthesiology Date: 2018-10 Impact factor: 7.892

9. A machine learning approach to integrate big data for precision medicine in acute myeloid leukemia.

Authors: Su-In Lee; Safiye Celik; Benjamin A Logsdon; Scott M Lundberg; Timothy J Martins; Vivian G Oehler; Elihu H Estey; Chris P Miller; Sylvia Chien; Jin Dai; Akanksha Saxena; C Anthony Blau; Pamela S Becker
Journal: Nat Commun Date: 2018-01-03 Impact factor: 14.919

Realistically Integrating Machine Learning Into Clinical Practice: A Road Map of Opportunities, Challenges, and a Potential Future.

1. Six habits of highly successful health information technology: powerful strategies for design and implementation.

2. Prognosis and prognostic research: validating a prognostic model.

3. Anesthesia Informatics Grows Up.

4. The Value of Monitoring Clinical Decision Support Interventions.

5. Clinical decisions support malfunctions in a commercial electronic health record.

6. A Generalizable, Data-Driven Approach to Predict Daily Risk of Clostridium difficile Infection at Two Large Academic Health Centers.

7. Development and Validation of a Deep Neural Network Model for Prediction of Postoperative In-hospital Mortality.

8. Machine-learning Algorithm to Predict Hypotension Based on High-fidelity Arterial Pressure Waveform Analysis.

9. A machine learning approach to integrate big data for precision medicine in acute myeloid leukemia.

10. Using a machine learning approach to predict outcome after surgery for degenerative cervical myelopathy.

1. A Century of Technology in Anesthesia & Analgesia.

Review 2. Use of machine learning in geriatric clinical care for chronic diseases: a systematic literature review.

Review 3. Detection of cancer metastasis: past, present and future.

Review 4. Artificial intelligence and anesthesia: A narrative review.

5. MaD GUI: An Open-Source Python Package for Annotation and Analysis of Time-Series Data.

Review 6. Breathing variability-implications for anaesthesiology and intensive care.