Literature DB >> 28657867

Machine Learning and Prediction in Medicine - Beyond the Peak of Inflated Expectations.

Jonathan H Chen1, Steven M Asch1.   

Abstract

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Year:  2017        PMID： 28657867      PMCID： PMC5953825          DOI： 10.1056/NEJMp1702071

Source DB:  PubMed          Journal:  N Engl J Med        ISSN： 0028-4793            Impact factor:   91.245


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  4 in total

1.  Big data. The parable of Google Flu: traps in big data analysis.

Authors:  David Lazer; Ryan Kennedy; Gary King; Alessandro Vespignani
Journal:  Science       Date:  2014-03-14       Impact factor: 47.728

2.  Decaying relevance of clinical data towards future decisions in data-driven inpatient clinical order sets.

Authors:  Jonathan H Chen; Muthuraman Alagappan; Mary K Goldstein; Steven M Asch; Russ B Altman
Journal:  Int J Med Inform       Date:  2017-03-18       Impact factor: 4.046

3.  Piloting electronic medical record-based early detection of inpatient deterioration in community hospitals.

Authors:  Gabriel J Escobar; Benjamin J Turk; Arona Ragins; Jason Ha; Brian Hoberman; Steven M LeVine; Manuel A Ballesca; Vincent Liu; Patricia Kipnis
Journal:  J Hosp Med       Date:  2016-11       Impact factor: 2.960

4.  Predicting the Future - Big Data, Machine Learning, and Clinical Medicine.

Authors:  Ziad Obermeyer; Ezekiel J Emanuel
Journal:  N Engl J Med       Date:  2016-09-29       Impact factor: 91.245
  4 in total
  179 in total

Review 1.  Clinical applications of artificial intelligence and machine learning in cancer diagnosis: looking into the future.

Authors:  Muhammad Javed Iqbal; Zeeshan Javed; Haleema Sadia; Ijaz A Qureshi; Asma Irshad; Rais Ahmed; Kausar Malik; Shahid Raza; Asif Abbas; Raffaele Pezzani; Javad Sharifi-Rad
Journal:  Cancer Cell Int       Date:  2021-05-21       Impact factor: 5.722

2.  Can Contrast-Enhanced Ultrasound Increase or Predict the Success Rate of Testicular Sperm Aspiration in Patients With Azoospermia?

Authors:  Heng Xue; Shou-Yang Wang; Li-Gang Cui; Kai Hong
Journal:  AJR Am J Roentgenol       Date:  2019-02-26       Impact factor: 3.959

3.  Lung mass density analysis using deep neural network and lung ultrasound surface wave elastography.

Authors:  Boran Zhou; Xiaoming Zhang
Journal:  Ultrasonics       Date:  2018-05-23       Impact factor: 2.890

4.  Prospective assessment of breast cancer risk from multimodal multiview ultrasound images via clinically applicable deep learning.

Authors:  Xuejun Qian; Jing Pei; Hui Zheng; Xinxin Xie; Lin Yan; Hao Zhang; Chunguang Han; Xiang Gao; Hanqi Zhang; Weiwei Zheng; Qiang Sun; Lu Lu; K Kirk Shung
Journal:  Nat Biomed Eng       Date:  2021-04-19       Impact factor: 25.671

5.  Predicting Suicide Attempts and Suicide Deaths Following Outpatient Visits Using Electronic Health Records.

Authors:  Gregory E Simon; Eric Johnson; Jean M Lawrence; Rebecca C Rossom; Brian Ahmedani; Frances L Lynch; Arne Beck; Beth Waitzfelder; Rebecca Ziebell; Robert B Penfold; Susan M Shortreed
Journal:  Am J Psychiatry       Date:  2018-05-24       Impact factor: 18.112

6.  Building an Automated Orofacial Pain, Headache and Temporomandibular Disorder Diagnosis System.

Authors:  Luciano Nocera; Anette Vistoso; Yuya Yoshida; Yuka Abe; Chukwudubem Nwoji; Glenn T Clark
Journal:  AMIA Annu Symp Proc       Date:  2021-01-25

7.  The number needed to benefit: estimating the value of predictive analytics in healthcare.

Authors:  Vincent X Liu; David W Bates; Jenna Wiens; Nigam H Shah
Journal:  J Am Med Inform Assoc       Date:  2019-12-01       Impact factor: 4.497

8.  Integrating manual diagnosis into radiomics for reducing the false positive rate of 18F-FDG PET/CT diagnosis in patients with suspected lung cancer.

Authors:  Fei Kang; Wei Mu; Jie Gong; Shengjun Wang; Guoquan Li; Guiyu Li; Wei Qin; Jie Tian; Jing Wang
Journal:  Eur J Nucl Med Mol Imaging       Date:  2019-07-18       Impact factor: 9.236

Review 9.  Wireless and battery-free platforms for collection of biosignals.

Authors:  Tucker Stuart; Le Cai; Alex Burton; Philipp Gutruf
Journal:  Biosens Bioelectron       Date:  2021-01-23       Impact factor: 10.618

10.  Artificial intelligence in sleep medicine: background and implications for clinicians.

Authors:  Cathy A Goldstein; Richard B Berry; David T Kent; David A Kristo; Azizi A Seixas; Susan Redline; M Brandon Westover
Journal:  J Clin Sleep Med       Date:  2020-04-15       Impact factor: 4.062
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