Volume 15; Issue 11

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PLoS Medicine
Volume 15; Issue 11

PLoS Medicine

Volume 15; Issue 11

1

Lymphopenia and risk of infection and infection-related death in 98,344 individuals from a prospective Danish population-based study

Warny, Marie, Helby, Jens, Nordestgaard, Børge Grønne, Birgens, Henrik, Bojesen, Stig Egil, Altfeld, Marcus

Journal:

Year:

2018

Language:

english

File:

PDF, 2.70 MB

english, 2018

2

Prediction of myopia development among Chinese school-aged children using refraction data from electronic medical records: A retrospective, multicentre machine learning study

Lin, Haotian, Long, Erping, Ding, Xiaohu, Diao, Hongxing, Chen, Zicong, Liu, Runzhong, Huang, Jialing, Cai, Jingheng, Xu, Shuangjuan, Zhang, Xiayin, Wang, Dongni, Chen, Kexin, Yu, Tongyong, Wu, Dongxu

Journal:

Year:

2018

Language:

english

File:

PDF, 2.69 MB

english, 2018

3

Variable generalization performance of a deep learning model to detect pneumonia in chest radiographs: A cross-sectional study

Zech, John R., Badgeley, Marcus A., Liu, Manway, Costa, Anthony B., Titano, Joseph J., Oermann, Eric Karl, Sheikh, Aziz

Journal:

Year:

2018

Language:

english

File:

PDF, 1.15 MB

english, 2018

4

Machine learning in medicine: Addressing ethical challenges

Vayena, Effy, Blasimme, Alessandro, Cohen, I. Glenn

Journal:

Year:

2018

Language:

english

File:

PDF, 644 KB

english, 2018

5

Safety, tolerability, and pharmacokinetics of long-acting injectable cabotegravir in low-risk HIV-uninfected individuals: HPTN 077, a phase 2a randomized controlled trial

Landovitz, Raphael J., Li, Sue, Grinsztejn, Beatriz, Dawood, Halima, Liu, Albert Y., Magnus, Manya, Hosseinipour, Mina C., Panchia, Ravindre, Cottle, Leslie, Chau, Gordon, Richardson, Paul, Marzinke,

Journal:

Year:

2018

Language:

english

File:

PDF, 2.87 MB

english, 2018

6

Machine learning to identify pairwise interactions between specific IgE antibodies and their association with asthma: A cross-sectional analysis within a population-based birth cohort

Fontanella, Sara, Frainay, Clément, Murray, Clare S., Simpson, Angela, Custovic, Adnan, Platts-Mills, Thomas

Journal:

Year:

2018

Language:

english

File:

PDF, 2.28 MB

english, 2018

7

Machine learning assessment of myocardial ischemia using angiography: Development and retrospective validation

Hae, Hyeonyong, Kang, Soo-Jin, Kim, Won-Jang, Choi, So-Yeon, Lee, June-Goo, Bae, Youngoh, Cho, Hyungjoo, Yang, Dong Hyun, Kang, Joon-Won, Lim, Tae-Hwan, Lee, Cheol Hyun, Kang, Do-Yoon, Lee, Pil Hyung,

Journal:

Year:

2018

Language:

english

File:

PDF, 1.98 MB

english, 2018

8

Transforming health policy through machine learning

Ashrafian, Hutan, Darzi, Ara

Journal:

Year:

2018

Language:

english

File:

PDF, 334 KB

english, 2018

9

Deep learning for chest radiograph diagnosis: A retrospective comparison of the CheXNeXt algorithm to practicing radiologists

Rajpurkar, Pranav, Irvin, Jeremy, Ball, Robyn L., Zhu, Kaylie, Yang, Brandon, Mehta, Hershel, Duan, Tony, Ding, Daisy, Bagul, Aarti, Langlotz, Curtis P., Patel, Bhavik N., Yeom, Kristen W., Shpanskaya

Journal:

Year:

2018

Language:

english

File:

PDF, 2.13 MB

english, 2018

10

Predicting the risk of emergency admission with machine learning: Development and validation using linked electronic health records

Rahimian, Fatemeh, Salimi-Khorshidi, Gholamreza, Payberah, Amir H., Tran, Jenny, Ayala Solares, Roberto, Raimondi, Francesca, Nazarzadeh, Milad, Canoy, Dexter, Rahimi, Kazem, Sheikh, Aziz

Journal:

Year:

2018

Language:

english

File:

PDF, 1.16 MB

english, 2018

11

The use of machine learning to understand the relationship between IgE to specific allergens and asthma

Platts-Mills, Thomas A. E., Perzanowski, Matthew

Journal:

Year:

2018

Language:

english

File:

PDF, 287 KB

english, 2018

12

Automated detection of moderate and large pneumothorax on frontal chest X-rays using deep convolutional neural networks: A retrospective study

Taylor, Andrew G., Mielke, Clinton, Mongan, John, Saria, Suchi

Journal:

Year:

2018

Language:

english

File:

PDF, 716 KB

english, 2018

13

Healthy volunteers' perceptions of risk in US Phase I clinical trials: A mixed-methods study

Fisher, Jill A., McManus, Lisa, Cottingham, Marci D., Kalbaugh, Julianne M., Wood, Megan M., Monahan, Torin, Walker, Rebecca L., Newman, Peter A.

Journal:

Year:

2018

Language:

english

File:

PDF, 556 KB

english, 2018

14

Reducing chronic disease through changes in food aid: A microsimulation of nutrition and cardiometabolic disease among Palestinian refugees in the Middle East

Basu, Sanjay, Yudkin, John S., Berkowitz, Seth A., Jawad, Mohammed, Millett, Christopher, Rahimi, Kazem

Journal:

Year:

2018

Language:

english

File:

PDF, 1.09 MB

english, 2018

15

Deep-learning-assisted diagnosis for knee magnetic resonance imaging: Development and retrospective validation of MRNet

Bien, Nicholas, Rajpurkar, Pranav, Ball, Robyn L., Irvin, Jeremy, Park, Allison, Jones, Erik, Bereket, Michael, Patel, Bhavik N., Yeom, Kristen W., Shpanskaya, Katie, Halabi, Safwan, Zucker, Evan, Fan

Journal:

Year:

2018

Language:

english

File:

PDF, 2.18 MB

english, 2018

16

Development and validation of machine learning models to identify high-risk surgical patients using automatically curated electronic health record data (Pythia): A retrospective, single-site study

Corey, Kristin M., Kashyap, Sehj, Lorenzi, Elizabeth, Lagoo-Deenadayalan, Sandhya A., Heller, Katherine, Whalen, Krista, Balu, Suresh, Heflin, Mitchell T., McDonald, Shelley R., Swaminathan, Madhav, S

Journal:

Year:

2018

Language:

english

File:

PDF, 2.07 MB

english, 2018

17

Machine learning in population health: Opportunities and threats

Flaxman, Abraham D., Vos, Theo

Journal:

Year:

2018

Language:

english

File:

PDF, 211 KB

english, 2018

18

Enhancing the prediction of acute kidney injury risk after percutaneous coronary intervention using machine learning techniques: A retrospective cohort study

Huang, Chenxi, Murugiah, Karthik, Mahajan, Shiwani, Li, Shu-Xia, Dhruva, Sanket S., Haimovich, Julian S., Wang, Yongfei, Schulz, Wade L., Testani, Jeffrey M., Wilson, Francis P., Mena, Carlos I., Maso

Journal:

Year:

2018

Language:

english

File:

PDF, 1.47 MB

english, 2018

19

Relationships between intensity, duration, cumulative dose, and timing of smoking with age at menopause: A pooled analysis of individual data from 17 observational studies

Zhu, Dongshan, Chung, Hsin-Fang, Pandeya, Nirmala, Dobson, Annette J., Cade, Janet E., Greenwood, Darren C., Crawford, Sybil L., Avis, Nancy E., Gold, Ellen B., Mitchell, Ellen S., Woods, Nancy F., An

Journal:

Year:

2018

Language:

english

File:

PDF, 965 KB

english, 2018

20

Mobile detection of autism through machine learning on home video: A development and prospective validation study

Tariq, Qandeel, Daniels, Jena, Schwartz, Jessey Nicole, Washington, Peter, Kalantarian, Haik, Wall, Dennis Paul, Saria, Suchi

Journal:

Year:

2018

Language:

english

File:

PDF, 1.44 MB

english, 2018

21

Hydrometeorology and flood pulse dynamics drive diarrheal disease outbreaks and increase vulnerability to climate change in surface-water-dependent populations: A retrospective analysis

Alexander, Kathleen A., Heaney, Alexandra K., Shaman, Jeffrey, Patz, Jonathan A.

Journal:

Year:

2018

Language:

english

File:

PDF, 3.01 MB

english, 2018

22

Deep learning and artificial intelligence in radiology: Current applications and future directions

Yasaka, Koichiro, Abe, Osamu

Journal:

Year:

2018

Language:

english

File:

PDF, 247 KB

english, 2018

23

Advancing the beneficial use of machine learning in health care and medicine: Toward a community understanding

Journal:

Year:

2018

Language:

english

File:

PDF, 292 KB

english, 2018

24

Characterising risk of in-hospital mortality following cardiac arrest using machine learning: A retrospective international registry study

Nanayakkara, Shane, Fogarty, Sam, Tremeer, Michael, Ross, Kelvin, Richards, Brent, Bergmeir, Christoph, Xu, Sheng, Stub, Dion, Smith, Karen, Tacey, Mark, Liew, Danny, Pilcher, David, Kaye, David M., S

Journal:

Year:

2018

Language:

english

File:

PDF, 1.60 MB

english, 2018

25

Deep learning for lung cancer prognostication: A retrospective multi-cohort radiomics study

Hosny, Ahmed, Parmar, Chintan, Coroller, Thibaud P., Grossmann, Patrick, Zeleznik, Roman, Kumar, Avnish, Bussink, Johan, Gillies, Robert J., Mak, Raymond H., Aerts, Hugo J. W. L., Butte, Atul J.

Journal:

Year:

2018

Language:

english

File:

PDF, 1.46 MB

english, 2018

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