They played their home games at Stanford Stadium and were members of the North Division of the Pac-12 Conference. Peter Washington, Catalin Voss, Aaron Kline, Nick Haber, Jena Daniels, Azar Fazel, Titas De, Carl Feinstein, Terry Winograd, Dennis Wall (2017). See the complete profile on LinkedIn and discover Peter’s connections and jobs at similar companies. There is a weak correlation between mean time spent on task and mean performance (r = 0.358, p = 0.005). In this review, we summarize and categorize various data-driven methods for diagnostic classification. My PWR 2 course, Superfans and Scholars: The Rhetoric of Fan Culture, began by introducing students to the academic study of fandom; we were then challenged to employ this knowledge of fan cultures as a lens through which to understand our … Dismiss. in Bioengineering and Applied Physics … However, nearly unavoidable variability in video quality can lead to missing features that degrade algorithm performance. Positive mean treatment effects were also found for the other 3 primary measures but not to a significance threshold of P=.0125.Conclusions and Relevance: The observed 4.58-point average gain on the Vineland Adaptive Behaviors Scale socialization subscale is comparable with gains observed with standard of care therapy. This study aimed to test these classifiers directly with image data from children with parent-reported ASD recruited through crowdsourcing.METHODS: We used a mobile game called Guess What? Finally, we applied LR to the 162-video-feature matrix to construct an 8-feature model, which achieved 0.93 AUC (95% CI 0.90-0.97) on the held-out test set and 0.86 on the validation set of 66 videos. Tariq, Q., Fleming, S., Schwartz, J., Dunlap, K., Corbin, C., Washington, P., Kalantarian, H., Khan, N. Z., Darmstadt, G. L., Wall, D. Effect of Wearable Digital Intervention for Improving Socialization in Children With Autism Spectrum Disorder: A Randomized Clinical Trial. Background: This strategy could provide important resources for developmental health in developing countries with few clinical resources for diagnosis, helping children get access to care at an early age. For instance, the Riedel-Kruse lab, a bioengineering lab in Stanford, California 5 has developed complete physical devices (cf figure 1.9) and code making it possible to control phototactic 6 unicellular organisms and integrate them in games (Cira et al., 2015; ... Our prior work, the Superpower Glass Project, has demonstrated the efficacy of real-time emotion classification to autism therapy via the augmented reality wearable, Google Glass. Additionally, a simulation mode facilitates higher user throughput, program debugging, and biophysical modeling. Brianna Chrisman Bioengineering PhD Student. (Peter DaSilva for The Washington Post) By . This pilot exploratory study examines our prototype tool's potential for social-affective learning for children with autism. ’86 discussing Baker's latest book at … President Obama would do well to look to the hidden past as he faces the best opportunity Feature replacement methods enable reliable home video analysis for machine learning detection of autism. The first participant was enrolled on November 1, 2016, and the last appointment was completed on April 11, 2018. Results of 8 classifiers on independent validation set. Bloomberg delivers business and markets news, data, analysis, and video to the world, featuring stories from Businessweek and Bloomberg News on everything pertaining to technology Dismiss. A two-tailed t test between the scores of the paid workers in Study 1 and the unpaid workers in Study 3 showed a significant difference (P Here we extend CGT to incorporate a priori knowledge from biological networks through a game theoretic centrality measure based on Shapley value to rank genes by their relevance-the individual gene's synergistic influence in a gene-to-gene interaction network. In each of the layers, we use a unique rater weighting scheme to aggregate classification scores from different raters based on their expertise. After clerking for a Federal Judge in St. Louis, he went to work for the insurance companies specializing in medical malpractice defense. A repeated-measures one-way ANOVA demonstrated a decrease in SRS-2 total scores by an average 7.14 points (F(1,13) = 33.20, p = Autism Spectrum Disorder is a neuropsychiatric condition affecting 53 million children worldwide and for which early diagnosis is critical to the outcome of behavior therapies. We then present a framework for semi-automatic labeled frame extraction from these videos using meta information from the game session coupled with classification confidence scores. LinkedIn . Crowdsourcing approaches may provide a scalable alternative that can accelerate general access to care and permit underserved populations to obtain an accurate diagnosis.OBJECTIVE: We aimed to perform a series of studies to explore whether paid crowd workers on Amazon Mechanical Turk (AMT) and citizen crowd workers on a public website shared on social media can provide accurate online detection of autism, conducted via crowdsourced ratings of short home video clips.METHODS: Three online studies were performed: (1) a paid crowdsourcing task on AMT (N=54) where crowd workers were asked to classify 10 short video clips of children as "Autism" or "Not autism," (2) a more complex paid crowdsourcing task (N=27) with only those raters who correctly rated ≥8 of the 10 videos during the first study, and (3) a public unpaid study (N=115) identical to the first study.RESULTS: For Study 1, the mean score of the participants who completed all questions was 7.50/10 (SD 1.46). Washington, P., Samuel-Gama, K., Riedel-Kruse, I. Earlier starting age of therapy is a strong predictor of later success, but waitlists for therapies can be 18 months long. Although similar rates of autism are reported in rural and urban areas, rural families report greater difficulty in accessing resources. Using sequences from the GISAID database, we... Mobilized telemedicine is becoming a key, and even necessary, facet of both precision health and precision medicine. While the history of U.S.–Cuba relations is littered with acts of aggression--CIA assassination plots, the Bay of Pigs invasion, the trade embargo-- the story of back-channel communications and attempts at reconciliation is less well-known but far more relevant to the policy debate today. Further analysis suggests that the ability to recognize surprise, fear, and neutrality may distinguish ASD cases from NC.This feasibility study supports the utility of a wearable device for social affective learning in ASD children and demonstrates subtle differences in how ASD and NC children perform on an emotion recognition task. ADTree7, 7-feature alternating decision tre... Background This game is a research study out of Stanford University for parents of children between the ages of 3 and 12 years. https://microbiology.washington.edu/users/e-peter-greenberg Join ResearchGate to find the people and research you need to help your work. We used a prospectively collected independent validation set of 66 videos (33 ASD and 33 non-ASD) and 3 independent rater measurements to validate the outcome, achieving lower but comparable accuracy (AUC: 89% [95% CI 81%-95%]). States with the highest diagnostic resource load included West Virginia, Kentucky, Maine, Mississippi, and New Mexico.Results from this study demonstrate the sparsity and uneven distribution of diagnostic resources in the United States, which may contribute to the lengthy waitlists and travel distances-barriers to be overcome to be able to receive diagnosis in specific regions. Cincinnati running back Jerome Ford celebrates his touchdown during the first half of the team's NCAA college football game against East Carolina, Friday, Nov. 13, 2020, in Cincinnati. Children receiving the intervention showed significant improvements on the Vineland Adaptive Behaviors Scale socialization subscale compared with treatment as usual controls (mean [SD] treatment impact, 4.58 [1.62]; P=.005). However, most computer vision emotion recognition models are trained on adult affect and therefore underperform when used on child faces. Stanford Libraries' official online search tool for books, media, journals, databases, government documents and more. BIOE 141A: Senior Capstone Design I (Autumn). We hypothesize that the use of machine learning analysis on home video can speed the diagnosis without compromising accuracy. Applied behavioral analysis (ABA) is an effective form of therapy for children with autism spectrum disorder (ASD), but it faces criticism for being un-generalizable, too time intensive, and too dependent on specialists to deliver treatment. The site facilitates research and collaboration in academic endeavors. Peter Stanford graduated from law school in 1983. These digital counterparts are often used outside of both the larger therapeutic context and the real world, in which th... Over 1 million children under the age of 17 in the US have been identified with Autism Spectrum Disorder (ASD). Peter has 4 jobs listed on their profile. View details for DOI 10.1038/s41598-020-76874-w. Mobilized telemedicine is becoming a key, and even necessary, facet of both precision health and precision medicine. We measured the performance of a multilayer perceptron (MLP) classifier with the top-ranking questions as input. This study underscores the potential of digital home therapy to augment the standard of care.Trial Registration: ClinicalTrials.gov identifier: NCT03569176. View details for DOI 10.2196/13668 Go Cards! Washington, P., Samuel-Gama, K., Goyal, S., Riedel-Kruse, I. View details for PubMedID 31124463, View details for DOI 10.1001/jamapediatrics.2019.0285, View details for Web of Science ID 000467505200012, View details for Web of Science ID 000465558900001. After identifying and removing batch effects between the two groups, we trained an ℓ1-regularized logistic regression classifier to predict ASD status from each set of variants. ‘Washington has become a place that just does not work,’ Peter Baker says in FSI book talk Peter Baker and Michael McFaul M.A. University of Washington 1959 N.E. See the complete profile on LinkedIn and discover Peter’s connections and jobs at similar companies. Machine learning applied to features manually extracted from readily accessible videos (e.g., from smartphones) has the potential to scale this diagnostic process. Engaging Students in Distance Learning of Science with Remote Labs 2.0, A Review of Machine Learning Methods of Feature Selection and Classification for Autism Spectrum Disorder. Currently teaching. In this study, we designed a strategy to gamify the collection and the lab... Autism Spectrum Disorder is a neuropsychiatric condition affecting 53 million children worldwide and for which early diagnosis is critical to the outcome of behavior therapies. Secure, privacy-preserving methods to increase labeled training data are needed to boost the models' performance before they can be used in AI-enabled approaches to social therapy of the kind that is common in autism treatments. View details for DOI 10.1038/s41746-018-0035-3 The system includes multiple mechanisms to engage children and their parents, who administer this technology within the home. To understand this, we focus on the effects of changing the robots' speed, sm... With most recent estimates giving an incidence rate of 1 in 68 children in the United States, the autism spectrum disorder (ASD) is a growing public health crisis. We evaluate workers when crowdsourcing the task of providing categorical ordinal behavioral ratings to unstructured public YouTube videos of children with autism and neurotypical controls. The wireless data drain of users, apps, & platforms. View details for DOI 10.1038/s41746-018-0035-3, View details for Web of Science ID 000444193800001, View details for Web of Science ID 000430439600169, View details for Web of Science ID 000458654000258, Although standard behavioral interventions for autism spectrum disorder (ASD) are effective therapies for social deficits, they face criticism for being time-intensive and overdependent on specialists. Varma, M., Paskov, K. M., Jung, J., Sierra Chrisman, B., Stockham, N. T., Washington, P. Y., Wall, D. P. Labeling images with facial emotion and the potential for pediatric healthcare. To address these complications, we developed Superpower Glass, a machine-learning-assisted software system that runs on Google Glass and an Android smartphone, designed for use during social interactions. The design of new technologies and user interfaces is becoming increasingly more informed by empirical research on people's wants and needs (i.e., human-centered design; Bannon, 2011), theories of well-being (i.e., positive computing, Calvo & Peters, 2014), well-doing and motivation (i.e., eudaimonic design; Deterding, 2014;Szalma, 2014), and behavior change (Caraban et al., 2019;Consolvo et al., 2009). However, these solutions may not be sufficiently trained for use in pediatric populations.OBJECTIVE: Emotion classifiers available off-the-shelf to the general public through Microsoft, Amazon, Google, and Sighthound are well-suited to the pediatric population, and could be used for developing mobile therapies targeting aspects of social communication and interaction, perhaps accelerating innovation in this space. None of the classifiers correctly labeled over 60.18% (1566/2602) of the evaluated frames. game play. ASD and NC participants who completed the computer task with Glass providing audible emotion labeling (n = 33) showed increased accuracies in emotion labeling, and the logistic regression classifier achieved an accuracy of 72.7%. See the complete profile on LinkedIn and discover Peter’s connections and jobs at similar companies. SANTA CRUZ — When youth-laden Stanford needed a leader on the court late in a tight game against Washington State on Saturday, Oscar da Silva — the lone senior in the lineup — stepped up. We then collected 116 short home videos of children with autism (mean age = 4 years 10 months, SD = 2 years 3 months) and 46 videos of typically developing children (mean age = 2 years 11 months, SD = 1 year 2 months). Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies. Silicon Valley Correspondent . A critical barrier for remote life-science experimentation is the absence of suitable abstractions and interfaces for pr... Life-science research is often driven by advancements in biotechnology. BACKGROUND: Complex human health conditions with etiological heterogeneity like Autism Spectrum Disorder (ASD) often pose a challenge for traditional genome-wide association study approaches in defining a clear genotype to phenotype model. View Peter Stanford’s profile on LinkedIn, the world’s largest professional community. Peter has 9 jobs listed on their profile. Alarmingly, 83.86% (2635/3142) of all US counties lacked any diagnostic resources. Washington, P., Samuel-Gama, K. G., Goyal, S., Ramaswami, A., Riedel-Kruse, I. H. Outgroup Machine Learning Approach Identifies Single Nucleotide Variants in Noncoding DNA Associated with Autism Spectrum Disorder. She graduated with a B.S. However, these classifiers are trained on datasets of predominantly neurotypical adults and can sometimes fail to generalize to children with autism. At Stanford, he has served as a Junior Class President, as an officer in Everyday People A Cappella and as a Teaching Assistant for Public Policy. Three raters blind to the diagnosis independently measured each of the 30 features from the 8 models, with a median time to completion of 4 minutes. These results demonstrate that while the crowd can produce accurate diagnoses, there are intrinsic differences in crowdworker ability to rate behavioral features. To manage this uncertainty, we evaluated the impact of missing values and feature imputation methods on two previously published autism detection classifiers, trained on standard-of-care instrument scoresheets and tested on ratings of 140 children videos from YouTube. An increasing emphasis is being placed on the development of innovative digital and mobile systems for their potential in therapeutic applications outside of clinical... [This corrects the article DOI: 10.2196/13668.]. Recent advancements in life-science instrumentation and automation enable entirely new modes of human interaction with microbiological processes and corresponding applications for science and education through biology cloud labs. Peter Berkowitz is part of Stanford Profiles, official site for faculty, postdocs, students and staff information (Expertise, Bio, Research, Publications, and more). Stanford+Connects was a 16-city event tour that helped alumni re-experience Stanford (minus the midterms), multiply their networks and stretch their brain in infinite ways. Season. Results show that 94%, 81%, 92%, and 56% of frames were automatically labeled correctly for categories disgust, neutral, surprise, and scared respectively, though performance for angry and happy did not improve significantly from the baseline. Earlier starting age of therapy is a strong predictor of later success, but waitlists for therapies can be 18 months long. He is licensed to practice by the state board in California (PSY8551). Washington, P., Voss, C., Haber, N., Tanaka, S., Daniels, J., Feinstein, C., Winograd, T., Wall, D. Dietz, G., E, J., Washington, P., Kim, L., Follmer, S. ScaleMed: A methodology for iterative mHealth clinical trials. In recent years, much focus has been put on employing technology to make novel behavioural aids for those with autism. Peter Washington Jobs People Learning Dismiss Dismiss. Future research aimed at extending the application of this approach to identify a range of other conditions and determine the population-level burden of developmental disabilities and impairments will be of high value. The Glass unit relays emotion cues in real-time to the child, enabling facial engagement and social reciprocity , ... Several papers have focussed on using computer vision to develop assistive technologies for ASD children , ... As a first step towards the creation of a large-scale dataset of child affect, we have previously designed GuessWhat, a dual-purpose smartphone application that serves as a therapeutic for children with autism while simultaneously collecting highly structured image data enriched for emoting children. BACKGROUND: The standard approaches to diagnosing autism spectrum disorder (ASD) evaluate between 20 and 100 behaviors and take several hours to complete. View details for DOI 10.1146/annurev-biodatasci-072018-021139, View details for Web of Science ID 000484798500011, View details for Web of Science ID 000461866400024. We achieved an accuracy of 92% (95% CI 88%-97%) on US videos using a classifier built on five features.Using videos of Bangladeshi children collected from Dhaka Shishu Children's Hospital, we aim to scale our pipeline to another culture and other developmental delays, including speech and language conditions.Although our previously published and validated pipeline and set of classifiers perform reasonably well on Bangladeshi videos (75% accuracy, 95% CI 71%-78%), this work improves on that accuracy through the development and application of a powerful new technique for adaptive aggregation of crowdsourced labels. 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