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<!DOCTYPE HTML>
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<h1 id="logo"><a href="#">Scott Fleming</a></h1>
<p>scottyf [at] stanford [dot] edu</p>
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<li><a href="#one" class="active">About</a></li>
<li><a href="#two">Publications</a></li>
<li><a href="#three">Posters & Presentations</a></li>
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<h2>Scott Fleming</h2>
<p>
Ph.D. Student in Biomedical Informatics </br>
M.S. Student in Computer Science (Artificial Intelligence)
</a></p>
</header>
<p>Hi there! I'm a fourth-year Ph.D. student in the <a href="http://med.stanford.edu/bmi.html">Biomedical Informatics (BMI) Graduate Program</a> at Stanford University (housed in the <a href="http://med.stanford.edu/dbds.html">Department of Biomedical Data Science</a> in Stanford's <a href="http://med.stanford.edu/school.html">School of Medicine</a>). I am co-advised by <a href="https://cs.stanford.edu/people/ebrun/">Emma Brunskill</a> (Computer Science) and <a href="https://shahlab.stanford.edu/">Nigam Shah</a> (Biomedical Informatics). My current research focuses on temporal data drift, its impact on clinical prediction models, and methods for mitigating model performance degradation over time. Other/past research interests include offline reinforcement learning for healthcare applications, AI/ML for psychiatry, and causal inference. I am supported by a <a href="https://vpge.stanford.edu/fellowships-funding/sgf/details">Stanford Graduate Fellowship</a> and a <a href="https://www.ndsegfellowships.org/about">National Defense Science and Engineering Graduate (NDSEG) Fellowship</a>. In my spare time, I am an outdoor enthusiast and amateur photographer (the banner above is a photo I took on a recent trip to Yosemite).</p>
</div>
</section>
<section id="two">
<div class="container">
<h3>Publications</h3>
<p>
<b>Evaluating Treatment Prioritization Rules via Rank-Weighted Average Treatment Effects</b>
</br>
Steve Yadlowsky*, <b>Scott Fleming*</b>, Nigam Shah, Emma Brunskill, Stefan Wager.
</br>
<i>Preprint</i>.
</br>
[<a href="https://arxiv.org/abs/2111.07966">Paper</a>]
</p>
<p>
<b>Performance of a Commonly Used Pressure Injury Risk Model under Changing Incidence</b>
</br>
<b>Scott Fleming*</b>, Kelly McFarlane*, Isha Thapa*, Andrea Johnson, Jenna Kruger, Andrew Shin, David Scheinker, Lane Donnelly
</br>
Published in <i>The Joint Commission Journal on Quality and Patient Safety</i>, 2021.
</br>
[<a href="https://doi.org/10.1016/j.jcjq.2021.10.008">Paper</a>]
</p>
<p>
<b>Systematic Review of Approaches to Preserve Machine Learning Performance in the Presence of Temporal Dataset Shift in Clinical Medicine</b>
</br>
Lin Lawrence Guo, Stephen Pfohl, Jason Fries, Jose Posada, <b>Scott Fleming</b>, Catherine Aftandilian, Nigam Shah, Lillian Sung.
</br>
Published in <i>Applied Clinical Informatics</i>, 2021.
</br>
[<a href="https://www.thieme-connect.com/DOI/DOI?10.1055/s-0041-1735184">Paper</a>]
</p>
<p>
<b>Reinforcement Learning with State Observation Costs in Action-Contingent Noiselessly Observable Markov Decision Processes</b>
</br>
HyunJi Nam*, <b>Scott Fleming*</b>, Emma Brunskill.
</br>
Published in <i>Advances in Neural Information Processing Systems (NeurIPS)</i>, 2021.
</br>
[<a href="https://proceedings.neurips.cc//paper/2021/hash/83e8fe6279ad25f15b23c6298c6a3584-Abstract.html">Paper</a>]
</p>
<p>
<b>Mapping Neural Circuit Biotypes to Symptoms and Behavioral Dimensions of Depression and Anxiety</b>
</br>
Andrea Goldstein-Piekarski*, Tali Ball*, Zoe Samara<sup>†</sup>, Brooke Staveland<sup>†</sup>, Arielle Keller<sup>†</sup>, <b>Scott Fleming</b><sup>†</sup>, Katherine Grisanzio<sup>†</sup>, Bailey Holt-Gosselin<sup>†</sup>, Patrick Stetz<sup>†</sup>, Jun Ma<sup>†</sup>, Leanne Williams.
</br>
Published in <i>Biological Psychiatry</i>, 2021.
</br>
[<a href="https://www.sciencedirect.com/science/article/pii/S0006322321014372">Paper</a>]
</p>
<p>
<b>Ontology-driven weak supervision for clinical entity classification in electronic health records.</b>
</br>
Jason Fries, Ethan Steinberg, Saelig Khattar, <b>Scott Fleming</b>, Jose Posada, Alison Callahan, Nigam Shah.
</br>
Published in <i>Nature Communications</i>, 2021.
</br>
[<a href="https://www.nature.com/articles/s41467-021-22328-4">Paper</a>]
</p>
<p>
<b>Intrinsic reward circuit connectivity profiles underlying symptom and quality of life outcomes following antidepressant medication: a report from the iSPOT-D trial.</b>
</br>
Adina Fischer*, Bailey Holt-Gosselin*, <b>Scott Fleming*</b>, Laura Hack, Tali Ball, Alan Schatzberg, Leanne Williams.
</br>
Published in <i>Neuropsychopharmacology</i>, 2021.
</br>
[<a href="https://www.nature.com/articles/s41386-020-00905-3">Paper</a>]
</p>
<p>
<b>Test-retest reliability of the human functional connectome over consecutive days: identifying highly reliable portions and assessing the impact of methodological choices.</b>
</br>
Leonardo Tozzi, <b>Scott Fleming</b>, Zachary Taylor, Cooper Raterink, Leanne Williams.
</br>
Published in <i>Network Neuroscience</i>, 2020.
</br>
[<a href="https://doi.org/10.1162/netn_a_00148">Paper</a>]
</p>
<p>
<b>Assessing the accuracy of automatic speech recognition for psychotherapy.</b>
</br>
Adam Miner*, Albert Haque*, Jason Fries, <b>Scott Fleming</b>, Denise Wilfley, Terence Wilson, Arnold Milstein, Dan Jurafsky, Bruce Arnow, Stewart Agras, Li Fei-Fei, Nigam Shah.
</br>
Published in <i>NPJ Digital Medicine</i>, 2020.
</br>
[<a href="https://www.nature.com/articles/s41746-020-0285-8">Paper</a>]
</p>
<p>
<b>Automated Classification of Knee X-rays Using Deep Neural Networks Outperforms Radiologist.</b>
</br>
Kevin Thomas, Lukasz Kidzinski, Eni Halilaj, <b>Scott Fleming</b>, Guhan Venkataraman, Edwin Oei, Garry Gold, Scott Delp.
</br>
Published in <i>Radiology: Artificial Intelligence</i>, 2019.
</br>
[<a href="https://doi.org/10.1148/ryai.2020190065">Paper</a>]
</p>
<p>
<b>Detecting Developmental Delay and Autism Through Machine Learning Models UsingHome Videos of Bangladeshi Children: Development and Validation Study.</b>
</br>
Qandeel Tariq*, <b>Scott Fleming</b>*, Jessey Schwartz, Kaitlyn Dunlap, Conor Corbin, Peter Washington, Haik Kalantarian, Naila Khan, Gary Darmstadt, Dennis Wall.
</br>
Spotlight Oral (top 20%), <i>Maternal and Child Health Research Institute Symposium</i>, Stanford, CA. 2018.</br>
3rd place for most exciting application, <i>Stanford Biomedical Informatics Retreat</i>, Asilomar, CA. 2018.
</br>
Published in <i>Journal of Medical Internet Research (JMIR)</i>, 2019.
</br>
[<a href="https://www.jmir.org/2019/4/e13822/">Paper</a>] [<a href="https://www.youtube.com/watch?v=fbyS8oSLJ6g">Video</a>] [<a href="http://stanford.edu/~scottyf/bmi_retreat_2018.pdf">Poster</a>]
</p>
<!-- <p>
<b>Deriving biotypes for depression and anxiety using clinic-ready brain circuit metrics.</b>
</br>
Andrea Goldstein-Piekarski*, Tali Ball*, Zoe Samara, <b>Scott Fleming</b>, Katherine Grisanzio, Brooke Staveland, Arielle Keller, Leanne Williams
</br>
<i>Submitted for Peer Review. 2018.</i>
</p> -->
</div>
</section>
<section id="three">
<div class="container">
<h3>Workshops, Posters, and Presentations</h3>
<p>
<b>Missingness as Stability: Understanding the Structure of Missingness in Longitudinal EHR data and its Impact on Reinforcement Learning in Healthcare.</b>
</br>
<b>Scott Fleming</b>, Kuhan Jeyapragasan, Tony Duan, Daisy Ding, Saurabh Gombar, Nigam Shah, Emma Brunskill.
</br>
<i>NeurIPS ML for Health (ML4H) Workshop</i>, 2019. (Acceptance Rate: 68/198 = 34%)
</br>
[<a href="https://arxiv.org/abs/1911.07084">Paper</a>] [<a href="http://stanford.edu/~scottyf/neurips_ml4h_2019.pdf">Poster</a>]
</p>
<p>
<b>Symptom Profile Subtypes Predict Treatment Response to 5 Hz rTMS in MDD and Co-Morbid PTSD.</b>
</br>
Yosef Berlow, Katherine Grisanzio, <b>Scott Fleming</b>, Abdullah Rashed Ahmed, Emily Aiken, Linda Carpenter, Noah Philip
</br>
Poster, <i>American College of Neuropsychopharmacology (ACNP) 57th Annual Meeting. 2018.</i></br>
[<a href="https://www.nature.com/articles/s41386-018-0267-6#Sec396">Poster</a>]
</p>
<p>
<b>Interpretable Machine Learning Models for Precision Psychiatry.</b>
</br>
<b>Scott Fleming</b>, Adina Fischer, Bailey Holt-Gosselin, Leanne Williams
</br>
Oral Presentation, Poster, the <i>Stanford Data Science Initiative Fall Retreat, Stanford, CA. 2018.</i>
</br>
[<a href="http://stanford.edu/~scottyf/sdsi_poster.pdf">Poster</a>]
</p>
<p>
<b>A Data-Driven Characterization of Neuropsychiatric Disorders using Measures of Attention, Working Memory, and Response Inhibition.</b>
</br>
<b>Scott Fleming</b>, John Leikauf, Matthew Sacchet, Russell Poldrack
</br>
Poster, the <i>Big Data in Precision Health Conference, Stanford, CA. 2018.</i>
</br>
[<a href="http://stanford.edu/~scottyf/big_data_in_precision_health_2018.pdf">Poster</a>]
</p>
</div>
</section>
<!--<section id="four">
<div class="container">
<h3>Honors and Awards</h3>
<p>
<b>National Defense Science and Engineering Graduate Fellowship (2019)</b></br>
Awarded to top 200 science and engineering doctoral students across the country.
</p>
<p>
<b>Stanford Graduate Fellowship, Stanford University, Stanford CA (2018)</b></br>
Awarded to top 100 incoming Stanford doctoral students in science and engineering.
</p>
<p>
<b> University Distinction, Stanford University, Stanford CA (2017)</b></br>
Awarded to top 15% of graduating class based on cumulative grade point averages.
</p>
<p>
<b>Phi Beta Kappa, Stanford University, Stanford CA (2017)</b></br>
For excellence and breadth of undergraduate scholarly accomplishments. Awarded to top 10% of the graduating class, with additional breadth of study requirements.
</p>
<p>
<b>Departmental Honors, Stanford University, Stanford CA (2017)</b></br>
For intensive research and coursework beyond the major requirements.
</p>
<p>
<b>Bio-X Undergraduate Summer Research Program, Stanford CA (2016)</b></br>
Competitive research grant awarded to top research proposals. Included three months of intensive study and research with select Stanford University faculty.
</p>
<p>
<b>Deans List, College of Life Sciences, BYU, Provo UT (2015)</b></br>
Awarded to top 5% of the college.
</p>
<p>
<b>Garth L. Lee Undergraduate Teaching Award, BYU, Provo UT (2015)</b>
Awarded for excellent instructional work as an undergraduate teaching assistant.
</p>
</div>
</section>-->
<section id="five">
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<h3> CV </h3>
See <a href="http://stanford.edu/~scottyf/scott_fleming_cv.pdf">here</a>.
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