{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/reinforced-sequential-decision-making-for","title":"Reinforced Sequential Decision-Making for Sepsis Treatment: The POSNEGDM Framework with Mortality Classifier and Transformer","arxiv_id":"2403.07309","date":"2024-03-12","proceeding":null,"authors":["Dipesh Tamboli","Jiayu Chen","Kiran Pranesh Jotheeswaran","Denny Yu","Vaneet Aggarwal"],"abstract":"Sepsis, a life-threatening condition triggered by the body's exaggerated response to infection, demands urgent intervention to prevent severe complications. Existing machine learning methods for managing sepsis struggle in offline scenarios, exhibiting suboptimal performance with survival rates below 50%. This paper introduces the POSNEGDM -- ``Reinforcement Learning with Positive and Negative Demonstrations for Sequential Decision-Making\" framework utilizing an innovative transformer-based model and a feedback reinforcer to replicate expert actions while considering individual patient characteristics. A mortality classifier with 96.7\\% accuracy guides treatment decisions towards positive outcomes. The POSNEGDM framework significantly improves patient survival, saving 97.39% of patients, outperforming established machine learning algorithms (Decision Transformer and Behavioral Cloning) with survival rates of 33.4% and 43.5%, respectively. Additionally, ablation studies underscore the critical role of the transformer-based decision maker and the integration of a mortality classifier in enhancing overall survival rates. In summary, our proposed approach presents a promising avenue for enhancing sepsis treatment outcomes, contributing to improved patient care and reduced healthcare costs.","url_abs":"https://arxiv.org/abs/2403.07309v1","url_pdf":"https://arxiv.org/pdf/2403.07309v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"reinforced-sequential-decision-making-for","repo_url":"https://github.com/dipeshtamboli/posnegdm-reinforced-sequential-decision-making-for-sepsis-treatment","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"pytorch","reach":{"status":"ok","spdx":"MIT"}}],"tasks":[{"task_slug":"decision-making","task_name":"Decision Making"},{"task_slug":"sequential-decision-making","task_name":"Sequential Decision Making"}],"methods":[{"method_slug":"absolute-position-encodings","method_name":"Absolute Position Encodings"},{"method_slug":"adam","method_name":"Adam"},{"method_slug":"attention","method_name":"Attention"},{"method_slug":"bpe","method_name":"BPE"},{"method_slug":"dense-connections","method_name":"Dense Connections"},{"method_slug":"dropout","method_name":"Dropout"},{"method_slug":"label-smoothing","method_name":"Label Smoothing"},{"method_slug":"layer-normalization","method_name":"Layer Normalization"},{"method_slug":"linear-layer","method_name":"Linear Layer"},{"method_slug":"multi-head-attention","method_name":"Multi-Head Attention"},{"method_slug":"position-wise-feed-forward-layer","method_name":"Position-Wise Feed-Forward Layer"},{"method_slug":"residual-connection","method_name":"Residual Connection"},{"method_slug":"softmax","method_name":"Softmax"},{"method_slug":"transformer","method_name":"Transformer"}],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=2403.07309","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2403.07309"}},"developers":"https://syntology.ai/developers","read_at":"2026-09-24T18:15:14+00:00","read_at_is":"when the build read Syntology's graph, not when any sample ran","claim":"Per-sample execution status on synthesized fixtures; not a correctness claim about the paper. Samples come from repositories linked to the paper, official or community; repo_kind says which.","repos":[{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/dipeshtamboli/posnegdm-reinforced-sequential-decision-making-for-sepsis-treatment","reach":{"status":"ok","spdx":"MIT"}}],"summary":{"ran_fixture":1,"ran":3,"ran_draft_wrong":1,"unverified":1},"by_repo_kind":{"official":{"samples":6,"ran":5,"repositories":1}},"repo_kind_vocabulary":{"official":"The archive marks this repository official for the paper","named_in_paper":"The archive records that the paper mentions this repository; it is not marked official","listed":"In the archive's code links for this paper, not marked official and not recorded as mentioned in the paper","found_in_text":"Syntology found this repository in the paper's own text; whether it is the authors' implementation is not asserted","community":"Not in the archive's code links for this paper; a community repository Syntology harvested"},"n_pointer_only_for_licence":0,"samples":[{"code_sha256_prefix":"0161b27cbe3cc58d","entry":"discount_cumsum","repo":"dipeshtamboli/posnegdm-reinforced-sequential-decision-making-for-sepsis-treatment","repo_kind":"official","path":"utils.py","file_url":"https://github.com/dipeshtamboli/posnegdm-reinforced-sequential-decision-making-for-sepsis-treatment/blob/HEAD/utils.py","link_basis":"harvester_set","language":"python","status":"ran_fixture","verification_level":2,"contract_check":"RAISES","metamorphic_tier":"invariant","behaviour_fingerprint":true,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"0161b27cbe3cc58d"}},{"code_sha256_prefix":"1ed718456cb9f7a0","entry":"evaluate_episode","repo":"dipeshtamboli/posnegdm-reinforced-sequential-decision-making-for-sepsis-treatment","repo_kind":"official","path":"dualsight/evaluation/evaluate_episodes.py","file_url":"https://github.com/dipeshtamboli/posnegdm-reinforced-sequential-decision-making-for-sepsis-treatment/blob/HEAD/dualsight/evaluation/evaluate_episodes.py","link_basis":"first_harvest_node","language":"python","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"1ed718456cb9f7a0"}},{"code_sha256_prefix":"9c904f0602da78d7","entry":"evaluate_episode_rtg","repo":"dipeshtamboli/posnegdm-reinforced-sequential-decision-making-for-sepsis-treatment","repo_kind":"official","path":"dualsight/evaluation/evaluate_episodes.py","file_url":"https://github.com/dipeshtamboli/posnegdm-reinforced-sequential-decision-making-for-sepsis-treatment/blob/HEAD/dualsight/evaluation/evaluate_episodes.py","link_basis":"plan_row","language":"python","status":"ran_draft_wrong","verification_level":1,"contract_check":"MISDECLARED","metamorphic_tier":"invariant","behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"9c904f0602da78d7"}},{"code_sha256_prefix":"ffe73c36fbe2646f","entry":"get_accuracy","repo":"dipeshtamboli/posnegdm-reinforced-sequential-decision-making-for-sepsis-treatment","repo_kind":"official","path":"utils.py","file_url":"https://github.com/dipeshtamboli/posnegdm-reinforced-sequential-decision-making-for-sepsis-treatment/blob/HEAD/utils.py","link_basis":"first_harvest_node","language":"python","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":true,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"ffe73c36fbe2646f"}},{"code_sha256_prefix":"b05dfefff93286a7","entry":"read_dst","repo":"dipeshtamboli/posnegdm-reinforced-sequential-decision-making-for-sepsis-treatment","repo_kind":"official","path":"utils.py","file_url":"https://github.com/dipeshtamboli/posnegdm-reinforced-sequential-decision-making-for-sepsis-treatment/blob/HEAD/utils.py","link_basis":"first_harvest_node","language":"python","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"b05dfefff93286a7"}},{"code_sha256_prefix":"00a33466c69c5705","entry":"load_tf_weights_in_gpt2","repo":"dipeshtamboli/posnegdm-reinforced-sequential-decision-making-for-sepsis-treatment","repo_kind":"official","path":"dualsight/models/trajectory_gpt2.py","file_url":"https://github.com/dipeshtamboli/posnegdm-reinforced-sequential-decision-making-for-sepsis-treatment/blob/HEAD/dualsight/models/trajectory_gpt2.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"00a33466c69c5705"}}]},"arxiv_metadata":null,"syntology_extracted_results":null}